HighlightsIt’s Excursion Thursday and we’ll be exploring the music tastes of not London, not New York, not LA….but Quezon City. Don’t know where that is? Well, pack your bags.Mission   Good morning, it’s Jason here at Chartmetric with your 3-minute Data Dump where we upload charts, artists and playlists into your brain so you can stay up on the latest in the music data world.DateThis is your Data Dump for Thursday May 16th 2019.Excursion Thursday: Quezon CityWe’re trying out a new segment called Excursion Thursday where we explore the music profile of a city or region and see what’s good.And for kicks, let’s start out with a city you may frequently see in your own streaming platform data but may not be that familiar with: Quezon City in the Philippines.If you’re not familiar with the Philippines, it’s a country in SE Asia. South of Taiwan, east of Vietnam, and north of Indonesia.It’s really thousands of islands that also feature two official languages: Tagalog and English. This is obviously important for the Western music market and definitely a factor in why the Philippines can play a huge part in how English language artists fare in the region.For example, American singer Khalid currently has the most Spotify monthly listeners on the entire Swedish platform at 49.6M.While his most popular Spotify cities are LA and London at 1M monthly listeners, and Chicago, Dallas and NYC between 800K to 1M...Quezon City silently pulls up in the #6 spot with a whopping 769K monthly listeners. Not bad for a city you might have not known about.Examples in other genres include rapper Travis Scott pulling 202K local monthly listeners and English pop rockers the 1975 featuring 126K themselves.Now, Quezon City sits adjacent to Manila, the country’s capital, and loosely speaking, is what Orange County is to Los Angeles, or what Brooklyn is to Manhattan: a bigger, heavily populated extension of its more popular sister city.Besides the language connection, part of what is likely driving such strong streaming activity specific to Quezon City is the fact that two of the country’s most popular universities- the University of the Philippines Diliman and Ateneo de Manila- are also located here.Some of the top artists by YouTube video daily views show more of a regional focus: K-pop supergroup BLACKPINK currently has 496K local daily views, BTS 215K and Korea/Japan-focused girl group TWICE at 136K.However Western artists still stand toe to toe, with Taylor Swift at 253K local daily views, Post Malone coming in at 127K and Brad Kane at 241K.Wait what? Who’s Brad Kane, you say? Well, if you were around for the original Disney animated movie Aladdin in 1992, he was the original singing voice for main character on the soundtrack.And how does this make sense in Quezon City? Well, if you don’t have any Filipino friends, suffice it to say that karaoke is a national pastime, and well, practicing the Disney hits are probably a part of what’s going on here.Now when it comes to Instagram, this is a whole other world. While in the States, Instagram is the natural social media backdrop to the music industry, Western artists just aren’t that popular for Quezon City citizens.As a matter of fact, the first Western music artist that shows up on our top followed IG artists is Hailee Steinfeld in 58th place at 62K. And before her are a legion of Filipino artists who, like Steinfeld, either bounce between the worlds of music/TV/film or make OPM.Now if you don’t know what OPM is, that stands for Original Pilipino Music, which stands next to the country’s love for Western music, as a matter of pride in their domestic artistry. It’s so popular that Spotify made an OPM hub that Music Ally wrote about back in February. The star playlist is called Tatak Pinoy, featuring OPM music and over 1M followers to date...check it out!So next time you see Quezon City in your streaming data, hopefully this will put some context to it...and while you’re at it, might as well license your tunes to Filipino karaoke bars posthaste!OutroThat’s it for your Daily Data Dump for Thursday May 16th 2019. This is Jason from Chartmetric.Free accounts are at app.chartmetric.com/signupAnd article links and show notes are at: podcast.chartmetric.com.Happy Thursday, see you tomorrow!

Summary The database market continues to expand, offering systems that are suited to virtually every use case. But what happens if you need something customized to your application? FoundationDB is a distributed key-value store that provides the primitives that you need to build a custom database platform. In this episode Ryan Worl explains how it is architected, how to use it for your applications, and provides examples of system design patterns that can be built on top of it. If you need a foundation for your distributed systems, then FoundationDB is definitely worth a closer look.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform. If you need global distribution, they’ve got that covered too with world-wide datacenters including new ones in Toronto and Mumbai. And for your machine learning workloads, they just announced dedicated CPU instances. Go to dataengineeringpodcast.com/linode today to get a $20 credit and launch a new server in under a minute. And don’t forget to thank them for their continued support of this show! Alluxio is an open source, distributed data orchestration layer that makes it easier to scale your compute and your storage independently. By transparently pulling data from underlying silos, Alluxio unlocks the value of your data and allows for modern computation-intensive workloads to become truly elastic and flexible for the cloud. With Alluxio, companies like Barclays, JD.com, Tencent, and Two Sigma can manage data efficiently, accelerate business analytics, and ease the adoption of any cloud. Go to dataengineeringpodcast.com/alluxio today to learn more and thank them for their support. Understanding how your customers are using your product is critical for businesses of any size. To make it easier for startups to focus on delivering useful features Segment offers a flexible and reliable data infrastructure for your customer analytics and custom events. You only need to maintain one integration to instrument your code and get a future-proof way to send data to over 250 services with the flip of a switch. Not only does it free up your engineers’ time, it lets your business users decide what data they want where. Go to dataengineeringpodcast.com/segmentio today to sign up for their startup plan and get $25,000 in Segment credits and $1 million in free software from marketing and analytics companies like AWS, Google, and Intercom. On top of that you’ll get access to Analytics Academy for the educational resources you need to become an expert in data analytics for measuring product-market fit. You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management. For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. Go to dataengineeringpodcast.com/conferences to learn more and take advantage of our partner discounts when you register. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the mailing list, read the show notes, and get in touch. To help other people find the show please leave a review on iTunes and tell your friends and co-workers Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Your host is Tobias Macey and today I’m interviewing Ryan Worl about FoundationDB, a distributed key/value store that gives you t

Processing continuous data streams is becoming increasingly important. However, traditional analytics architectures were often not built for real-time scenarios. This article will illustrate challenges and discuss how streaming-first approaches can change the way we think about analytics architectures.

Originally published at: https://www.eckerson.com/articles/streams-everywhere-towards-streaming-first-architectures

This second article in a series on modern data architectures. It focuses on what drives customers to want a modern data architecture (i.e., fear and opportunity) in the first place. It then lists ten requirements that customers desire for a modern data architecture, ranging from “cloud-first” and “streaming-first” to “best of breed” and “predictable pricing”.

Originally published at: https://www.eckerson.com/articles/ten-things-companies-want-from-a-modern-data-architecture

Summary Kubernetes is a driving force in the renaissance around deploying and running applications. However, managing the database layer is still a separate concern. The KubeDB project was created as a way of providing a simple mechanism for running your storage system in the same platform as your application. In this episode Tamal Saha explains how the KubeDB project got started, why you might want to run your database with Kubernetes, and how to get started. He also covers some of the challenges of managing stateful services in Kubernetes and how the fast pace of the community has contributed to the evolution of KubeDB. If you are at any stage of a Kubernetes implementation, or just thinking about it, this is definitely worth a listen to get some perspective on how to leverage it for your entire application stack.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform. If you need global distribution, they’ve got that covered too with world-wide datacenters including new ones in Toronto and Mumbai. And for your machine learning workloads, they just announced dedicated CPU instances. Go to dataengineeringpodcast.com/linode today to get a $20 credit and launch a new server in under a minute. And don’t forget to thank them for their continued support of this show! Alluxio is an open source, distributed data orchestration layer that makes it easier to scale your compute and your storage independently. By transparently pulling data from underlying silos, Alluxio unlocks the value of your data and allows for modern computation-intensive workloads to become truly elastic and flexible for the cloud. With Alluxio, companies like Barclays, JD.com, Tencent, and Two Sigma can manage data efficiently, accelerate business analytics, and ease the adoption of any cloud. Go to dataengineeringpodcast.com/alluxio today to learn more and thank them for their support. Understanding how your customers are using your product is critical for businesses of any size. To make it easier for startups to focus on delivering useful features Segment offers a flexible and reliable data infrastructure for your customer analytics and custom events. You only need to maintain one integration to instrument your code and get a future-proof way to send data to over 250 services with the flip of a switch. Not only does it free up your engineers’ time, it lets your business users decide what data they want where. Go to dataengineeringpodcast.com/segmentio today to sign up for their startup plan and get $25,000 in Segment credits and $1 million in free software from marketing and analytics companies like AWS, Google, and Intercom. On top of that you’ll get access to Analytics Academy for the educational resources you need to become an expert in data analytics for measuring product-market fit. You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management. For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. Go to dataengineeringpodcast.com/conferences to learn more and take advantage of our partner discounts when you register. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the mailing list, read the show notes, and get in touch. To help other people find the show please leave a review on iTunes and tell your fri

Every decade since the 1960s, researchers at companies like IBM, Amazon, and many others have introduced major new frameworks and techniques to handle rising data management problems. This concise ebook explains how these new systems helped data science evolve quickly—from hierarchical and relational databases to big data and cloud computing to streaming and graph data. Computer scientist Paco Nathan shows members of your data science team how major companies created each of these data management systems not just to deal with new data types but also to take full advantage of the opportunities the data presented. Their efforts over the years have propelled an entire industry. This report covers the historical progression of data management topics including: Hierarchical databases—1960s mainframe batch systems are still used in finance, healthcare, manufacturing, energy, and other industries. Relational databases—these enabled faster transactions, mathematical optimization, and budgeting guarantees for many businesses. Big data—this includes relatively cheap horizontal scale-out systems for collecting huge amounts of customer data. Cloud computing—large companies began managing reliable, scalable, cost-effective data centers; Amazon turned the concept into a business. Cluster schedulers—managing horizontal clusters was difficult before schedulers such as Apache Mesos appeared. Streaming data—data continuously generated by different sources requires responses in "real time"—generally milliseconds.

As enterprise-scale data science sharpens its focus on data-driven decision making and machine learning, new tools have emerged to help facilitate these processes. This practical ebook shows data scientists and enterprise developers how the notebook interface, Apache Spark, and other collaboration tools are particularly well suited to bridge the communication gap between their teams. Through a series of real-world examples, author Jerome Nilmeier demonstrates how to generate a model that enables data scientists and developers to share ideas and project code. You’ll learn how data scientists can approach real-world business problems with Spark and how developers can then implement the solution in a production environment. Dive deep into data science technologies, including Spark, TensorFlow, and the Jupyter Notebook Learn how Spark and Python notebooks enable data scientists and developers to work together Explore how the notebook environment works with Spark SQL for structured data Use notebooks and Spark as a launchpad to pursue supervised, unsupervised, and deep learning data models Learn additional Spark functionality, including graph analysis and streaming Explore the use of analytics in the production environment, particularly when creating data pipelines and deploying code

HighlightsIt’s Winner Wednesday: Rap, Latin and K-pop rule the Top 30 Trending Music Videos on YouTube this weekMission   Good morning, it’s Jason here at Chartmetric with your 3-minute Data Dump where we upload charts, artists and playlists into your brain so you can stay up on the latest in the music data world.DateThis is your Data Dump for Wednesday April 24th 2019.Winner Wednesday: YouTube Trending Music VideosThe Top Songs on YouTube in the US this week aren’t too surprising, with Lil Nas X continuing to dominate the video streaming platform with an additional 48.2M views for “Old Town Road” feat. Billy Ray Cyrus.But if you switch over to the Trending Music Videos, things get a little more interesting: rapper Lil Dicky’s “Earth” takes the #1 Trending YouTube Music Video spot.The Philadelphia rapper who frequently releases comedic rap songs with high-profile collaborations does it again, this time for Mother Earth.Released on April 18th before Earth Day, the video addressing climate change had 34M views as of yesterday.Rap power couple Offset and Cardi B took the #2 spot with “Clout”, while K-pop’s BTS takes the #3 position with their still-hot single featuring Halsey, “Boy With Luv”.Latin music took 5 of the top 30 spots, including singles from Becky G & Maluma, Bad Bunny and Daddy Yankee, but the highlight is probably the reunion of New York City’s bachata legends Aventura, releasing their first new music in almost a decade with the video “Immortal” in the #20 spot.Four of the top 30 videos were taken by K-pop, with TWICE and the fresh-off-Coachella group BLACKPINK placing in the late 20 ranks.But it’s BTS that pulled off two of the top videos with the same track: “Boy With Luv” in the #3 spot, and also appearing in the #15 position, but this time, with the official choreography video.This is a common practice in the K-pop world, where the official video drops first, then the choreography rehearsal video more than a week later. This maximizes the official video’s view count, while still giving fan service while the track is fresh.BTS goes the extra mile in their case, as in their choreography videos, they don’t even use the actual audio on the video besides the low-quality track playing in the dance studio, presumably to drive viewers to the official music video.Another case of a track making a double appearance on the trending video list is Florida rapper Kodak Black, in a diss track called “Expeditiously” against Atlanta rapper T.I.The original video, which is just a static image with the song is in the #5 spot with the official video coming out four days later in the #8 spot this week.It’s worth noting that just like Spotify’s Viral 50 chart or SoundCloud’s New & Hot chart, YouTube’s trending music video chart is filtered not by total views, but the ones showing the most virality. For example, Kodak Black’s #5 position video has 5.6M views while BLACKPINK’s video ranked 29th has 43x more views at 243M. Since YouTube updates this chart weekly, likely we’re looking at an algorithm that prioritizes the most views in the past seven days, which makes sense given the recent nature of the top charting video release dates.OutroThat’s it for your Daily Data Dump for Wednesday April 24th 2019. This is Jason from Chartmetric.Free accounts are at app.chartmetric.com/signupAnd article links and show notes are at: podcast.chartmetric.com.Happy Wednesday, see you tomorrow! 

HighlightsIt’s Technique Tuesday! We’re diving into the Spotify listener to follower ratio with Coachella darling LizzoMissionGood morning, it’s Jason here at Chartmetric with your 3-minute Data Dump where we upload charts, artists and playlists into your brain so you can stay up on the latest in the music data world.DateThis is your Data Dump for Tuesday April 23rd 2019.Technique Tuesday: Listener to Follower Ratio w/ LizzoLet’s try a new segment called Technique Tuesday, where we take a deep dive into music data concepts.What better artist to start the segment with than Houston-born, Minneapolis-based artist Lizzo?Playing both weekends at this year’s Coachella, Lizzo has stood out as a beloved figure for her candid nature, body positivity, and hot music.On Spotify, Lizzo’s data is showing signs of a promising emerging artist. At 243K followers and 5.4M monthly listeners, this gives her a great listener to follower ratio of 23.1.The reason a higher listener to follower ratio is a noteworthy vital sign for an artist is it attempts to measure the streaming equivalents of reach and engagement.If you’re not familiar with reach or engagement, they are advertising terms that came up with the rise of online or social media ads. Digital advertising is largely responsible for the rise of countless tech giants such as Google and Facebook.In a nutshell, reach is simply about recognition and getting your name out there, where as engagement is when people care enough to actively comment, share a post, or even buy tickets or merch.Now let’s apply this to music streaming, which is not necessarily a social media-like environment, but the concepts can still be applied. If an artist hasn’t yet been promoted in top-tier playlist spots or other promotional campaigns in streaming app front pages, this will lessen the chance for users to be led to their artist profile to follow them and subsequently raise the artist’s follower count. In this case, this lower follower count would indicate lower reach.But if that same artist has a relatively outsized monthly listener count, it’s as if despite the short amount of reach, they are still getting lots of plays across unique listeners. This can be due to listing on user-generated tastemaker playlists or strong sharing of a favorite track via messaging between friends, for example. This higher listener count, in this case, would signify higher engagement.It’s not a perfect analogy, but dividing the amount of monthly listeners by their followers is like comparing their engagement with their reach. If you have 10 followers but 1 monthly listener, you simply advertise yourself well. However, if you have 1 follower but 10 monthly listeners, you must make awesome music. And this is exactly what the ratio tries to take into account.So to bring it back to Lizzo, her music, in this way, is currently 23 times more popular than her reputation as a public figure.Her ratio of 23.1 for example, puts her in the same realm as Lauv at 23.2 and Noah Cyrus at 23.6.Even though Lauv has around 5x more followers and Noah Cyrus has almost twice as many monthly listeners, both artists’ careers on the rise like Lizzo’s. The benefit of the ratio then is being able to compare the current trajectory of an artist’s streaming presence with other artists, even if those artists are at different stages of their careers.So congrats to Lizzo on her stellar Coachella performances, and here’s to checking out more listener to follower ratios in your daily work.OutroThat’s it for your Daily Data Dump for Tuesday April 23rd 2019. This is Jason from Chartmetric.Free accounts are at app.chartmetric.com/signupAnd article links and show notes are at: podcast.chartmetric.com.Happy Tuesday, see you tomorrow! 

Summary One of the biggest challenges for any business trying to grow and reach customers globally is how to scale their data storage. FaunaDB is a cloud native database built by the engineers behind Twitter’s infrastructure and designed to serve the needs of modern systems. Evan Weaver is the co-founder and CEO of Fauna and in this episode he explains the unique capabilities of Fauna, compares the consensus and transaction algorithm to that used in other NewSQL systems, and describes the ways that it allows for new application design patterns. One of the unique aspects of Fauna that is worth drawing attention to is the first class support for temporality that simplifies querying of historical states of the data. It is definitely worth a good look for anyone building a platform that needs a simple to manage data layer that will scale with your business.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform. If you need global distribution, they’ve got that covered too with world-wide datacenters including new ones in Toronto and Mumbai. And for your machine learning workloads, they just announced dedicated CPU instances. Go to dataengineeringpodcast.com/linode today to get a $20 credit and launch a new server in under a minute. And don’t forget to thank them for their continued support of this show! Alluxio is an open source, distributed data orchestration layer that makes it easier to scale your compute and your storage independently. By transparently pulling data from underlying silos, Alluxio unlocks the value of your data and allows for modern computation-intensive workloads to become truly elastic and flexible for the cloud. With Alluxio, companies like Barclays, JD.com, Tencent, and Two Sigma can manage data efficiently, accelerate business analytics, and ease the adoption of any cloud. Go to dataengineeringpodcast.com/alluxio today to learn more and thank them for their support. Understanding how your customers are using your product is critical for businesses of any size. To make it easier for startups to focus on delivering useful features Segment offers a flexible and reliable data infrastructure for your customer analytics and custom events. You only need to maintain one integration to instrument your code and get a future-proof way to send data to over 250 services with the flip of a switch. Not only does it free up your engineers’ time, it lets your business users decide what data they want where. Go to dataengineeringpodcast.com/segmentio today to sign up for their startup plan and get $25,000 in Segment credits and $1 million in free software from marketing and analytics companies like AWS, Google, and Intercom. On top of that you’ll get access to Analytics Academy for the educational resources you need to become an expert in data analytics for measuring product-market fit. You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management. For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. Go to dataengineeringpodcast.com/conferences to learn more and take advantage of our partner discounts when you register. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the mailing list, read the show notes, and get in touch. To help other people find the show please leave a review on iTunes and tell your friends and co-workers Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Your host is Tobias Macey and today I’m interviewing Evan Weaver about FaunaDB, a modern operational data platform built for your cloud

Interview

Introduction How did you get involved in the area of data management? Can you start by explaining what FaunaDB is and how it got started? What are some of the main use cases that FaunaDB is targeting?

How does it compare to some of the other global scale databases that have been built in recent years such as CockroachDB?

Can you describe the architecture of FaunaDB and how it has evolved? The consensus and replication protocol in Fauna is intriguing. Can you talk through how it works?

What are some of the edge cases that users should be aware of? How are conflicts managed in Fauna?

What is the underlying storage layer?

How is the query layer designed to allow for different query patterns and model representations?

How does data modeling in Fauna compare to that of relational or document databases?

Can you describe the query format? What are some of the common difficulties or points of confusion around interacting with data in Fauna?

What are some application design patterns that are enabled by using Fauna as the storage layer? Given the ability to replicate globally, how do you mitigate latency when interacting with the database? What are some of the most interesting or unexpected ways that you have seen Fauna used? When is it the wrong choice? What have been some of the most interesting/unexpected/challenging aspects of building the Fauna database and company? What do you have in store for the future of Fauna?

Contact Info

@evan on Twitter LinkedIn

Parting Question

From your perspective, what is the biggest gap in the tooling or technology for data management today?

Links

Fauna Ruby on Rails CNET GitHub Twitter NoSQL Cassandra InnoDB Redis Memcached Timeseries Spanner Paper DynamoDB Paper Percolator ACID Calvin Protocol Daniel Abadi LINQ LSM Tree (Log-structured Merge-tree) Scala Change Data Capture GraphQL

Podcast.init Interview About Graphene

Fauna Query Language (FQL) CQL == Cassandra Query Language Object-Relational Databases LDAP == Lightweight Directory Access Protocol Auth0 OLAP == Online Analytical Processing Jepsen distributed systems safety research

The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

Support Data Engineering Podcast

HighlightsNSync performs at Coachella w/ Ariana Grande and Michael Jackson’s legacy deals with Leaving Neverland...but does this affect their music data?MissionGood morning, it’s Jason here at Chartmetric with your 3-minute Data Dump where we upload charts, artists and playlists into your brain so you can stay up on the latest in the music data world.DateThis is your Data Dump for Wednesday April 17th 2019.Legacy acts in the spotlightMost of the time, music data is all about the frontline releases, the next emerging artists and global superstars...but what about legacy acts?Loosely defined, legacy acts are any artists that have had a successful career and have since left their glory days, yet still hold sway over the general public.In this sense, late 90s/early 2000s American boy band NSYNC and the late Michael Jackson fit this definition.But sometimes, the work of such acts bubble up again for one reason or another, and sometimes they are good, and sometimes not so much.Exhibit 1: Just this past Sunday, reigning American pop queen Ariana Grande invited NSYNC on stage (minus Justin Timberlake) to perform a few of their hits as part of her headlining set. The various teasers leading up to the event have given way to performance reviews on all the music outlets, and while the effect is diluted on Ms. Grande’s red-hot career, how does this affect the former group that haven’t released original material since 2001?Legacy acts on streaming services are an odd juxtaposition of the old and the new, but for NSYNC, they are enjoying streaming metrics that would otherwise be great for an up and coming act.At 6.1M Spotify monthly listeners and 914K followers, this gives them listener to follower ratio of 6.7, putting them ahead of Charli XCX and even Billie Eilish. This actually makes a lot of sense for the group, because a high ratio is usually the result of a highly loyal but small following with little to no marketing reach…and a now-defunct yet hugely famous 2000s boy band pretty much fits that bill to a T.In terms of immediate effects observed, they’re pretty much nil: no major editorial playlists on either Spotify, Apple, Amazon or Deezer added NSYNC records, and while their Spotify daily follower count jumped roughly 50%, it was only an additional 600 or so followers from their norm.If anything, their Twitter daily followers jumped 10x after Sunday and their Instagram daily followers popped 15x their norm, which makes sense given the very Instagrammable nature of Coachella, but already there seems to be no long-term effects.Now while there was a fun, no strings attached nature to the one-time Coachella performance, Michael Jackson’s legacy has recently taken a turn for the not-so-flattering.At the beginning of March, HBO released a documentary called Finding Neverland directed by British filmmaker Dan Reed, which focuses on the testimonials of two now-grown men that were allegedly sexually abused as children by the former King of Pop.Both traditional and social media were not quiet about the exposé, but  nevertheless, Michael Jackson’s music data profile doesn’t seem to have really experienced much of any difference: his Spotify daily follower patterns show no real changes  since March and his monthly listener count slowed slightly from 22.3M at the beginning of the month to 21.5M currently. This metric is largely buoyed by Drake’s sampling of Jackson in the track “Don’t Matter to Me” on Drake’s juggernaut album Scorpion.After Finding Neverland’s release, Jackson’s YouTube daily channel subscribers only briefly fluctuated to twice his average then cut in half from his average before returning back to normal, and his Wikipedia page views peaked at 6x his daily norm until returning back his average of about 30K views a few weeks after.What may be most interesting is how radio airplay has reacted: among 300 of the most influential US radio stations, they collectively went from spinning Jackson’s music roughly 100-150 times a day during the holiday months of Nov/Dec last year, and now trickling down to just 10 spins a day as of early April.Due to the limited airtime stations have and the more localized connection they have to their listeners, this might create more accountability and the need to insulate themselves from angry listeners revolted by the documentary.All in all, some say that in the show business, “any publicity is good publicity”, but from a music data perspective, at least for these artists, maybe it should be “any publicity doesn’t affect our legacy much.”OutroThat’s it for your Daily Data Dump for Wednesday April 17th 2019. This is Jason from Chartmetric.Free accounts are at chartmetric.io/signupAnd article links and show notes are at a new website: podcast.chartmetric.com.Happy Wednesday, see you tomorrow! 

Summary Database indexes are critical to ensure fast lookups of your data, but they are inherently tied to the database engine. Pilosa is rewriting that equation by providing a flexible, scalable, performant engine for building an index of your data to enable high-speed aggregate analysis. In this episode Seebs explains how Pilosa fits in the broader data landscape, how it is architected, and how you can start using it for your own analysis. This was an interesting exploration of a different way to look at what a database can be.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform. If you need global distribution, they’ve got that covered too with world-wide datacenters including new ones in Toronto and Mumbai. And for your machine learning workloads, they just announced dedicated CPU instances. Go to dataengineeringpodcast.com/linode today to get a $20 credit and launch a new server in under a minute. And don’t forget to thank them for their continued support of this show! Alluxio is an open source, distributed data orchestration layer that makes it easier to scale your compute and your storage independently. By transparently pulling data from underlying silos, Alluxio unlocks the value of your data and allows for modern computation-intensive workloads to become truly elastic and flexible for the cloud. With Alluxio, companies like Barclays, JD.com, Tencent, and Two Sigma can manage data efficiently, accelerate business analytics, and ease the adoption of any cloud. Go to dataengineeringpodcast.com/alluxio today to learn more and thank them for their support. Understanding how your customers are using your product is critical for businesses of any size. To make it easier for startups to focus on delivering useful features Segment offers a flexible and reliable data infrastructure for your customer analytics and custom events. You only need to maintain one integration to instrument your code and get a future-proof way to send data to over 250 services with the flip of a switch. Not only does it free up your engineers’ time, it lets your business users decide what data they want where. Go to dataengineeringpodcast.com/segmentio today to sign up for their startup plan and get $25,000 in Segment credits and $1 million in free software from marketing and analytics companies like AWS, Google, and Intercom. On top of that you’ll get access to Analytics Academy for the educational resources you need to become an expert in data analytics for measuring product-market fit. You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management. For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. Go to dataengineeringpodcast.com/conferences to learn more and take advantage of our partner discounts when you register. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the mailing list, read the show notes, and get in touch. To help other people find the show please leave a review on iTunes and tell your friends and co-workers Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Your host is Tobias Macey and today I’m interviewing Seebs about Pilosa, an open source, distributed bitmap index

Interview

Introduction How did you get involved in the area of data

Get started with Apache Flink, the open source framework that powers some of the world’s largest stream processing applications. With this practical book, you’ll explore the fundamental concepts of parallel stream processing and discover how this technology differs from traditional batch data processing. Longtime Apache Flink committers Fabian Hueske and Vasia Kalavri show you how to implement scalable streaming applications with Flink’s DataStream API and continuously run and maintain these applications in operational environments. Stream processing is ideal for many use cases, including low-latency ETL, streaming analytics, and real-time dashboards as well as fraud detection, anomaly detection, and alerting. You can process continuous data of any kind, including user interactions, financial transactions, and IoT data, as soon as you generate them. Learn concepts and challenges of distributed stateful stream processing Explore Flink’s system architecture, including its event-time processing mode and fault-tolerance model Understand the fundamentals and building blocks of the DataStream API, including its time-based and statefuloperators Read data from and write data to external systems with exactly-once consistency Deploy and configure Flink clusters Operate continuously running streaming applications

HighlightsToday’s Top Hits at almost 23M followers remains Spotify’s crown jewelBillboard Emerging Artist Kiana Ledé begins to spread her wings MissionGood morning, it’s Jason here at Chartmetric with your 3-minute Data Dump where we upload charts, artists and playlists into your brain so you can stay up on the latest in the music data world.DateThis is your Data Dump for Wednesday April 10th 2019.Playlist Highlight With 9M more followers than the #2 Spotify playlist, Today’s Top Hits remains playlist supreme on the Swedish streaming platform.Growing at 1% (or ~170K) followers in the past month, the list is at 22.9M of them and is due to break the 23M mark within a month.For the past 2.5 years, it’s been disciplined at keeping only 50 tracks, though this week, it’s added a few more to total 53.Leading that list is Lil Nas X and Billy Ray Cyrus with the “Old Town Road - Remix”, and American singer-songwriter Alec Benjamin in the #2 spot with the sad breakup song “Let Me Down Slowly”.The inescapable Billie Eilish holds down the bronze medal at #3 with the kick-drum-driven “bad guy” off her hot new album.55% of Today’s Top Hits this week comes from American artists, while 10% of the list comes from the United Kingdom, including Glasgow’s indietronica CHVURCHES and London-based Rita Ora in a collaboration with Brazil’s Anitta.Puerto Rico contributes to about 5% of the list with tracks from reggaetón kings Daddy Yankee, Ozuna and Farruko.In terms of track adds and removals, most of the frontline playlist gets added on Global Release Friday, but Today’s Top Hits tends to remove tracks more loosely across Thursday, Friday and Saturday.In the past month, 58% of the tracklist got refreshed, and the adds are typically new releases. This week for example, 31 of the 53 tracks are brand new.Despite Today’s Top Hits reputation as a place for new records, it’s good to remember that once a track gets put on, it tends to live there: over 75% of the historical tracks they’ve placed stay on for 1-6 months.For a deeper dive, check out our Today’s Top Hits blog post in the show notes.Artist Highlight“I don't gotta be in love with you to love you”. That is a lyric from Phoenix-born, LA-based artist Kiana Ledé, who is hiding down in the #46 spot of Today’s Top Hits with the sultry and bittersweet breakup track “EX”.The R&B singer who moonlighted as an actor on MTV’s Scream and Netflix’s All About the Washingtons, her music career has been on a major marketing push since last month.With 5.2M Spotify monthly listeners and 213K followers, this puts her at an excellent listener to follower ratio of 25. For context, AWAL superstar Lauv is at 24.1 and young American pop star MAX at 25.3.Ledé’s playlist situation completely blew up in March, adding the 4.9M follower Are & Be Spotify playlist and 1.8M follower Hot Rhythmic playlist, as well as being added to the sexual contextual playlists Love, Sex and Water at 1.6M and Bedroom Jams just under 1M.She’s in the #33 position on the 65-track Today’s Hits Apple playlist in the US, and virtually all of the storefronts for the A-List: R&B playlist, ranging from position #16-33 depending on the country.On Amazon Music, she’s on six editorial playlists, including the genre-focused Introducing: / Fresh / and Chill R&B playlists.Not limited to digital, her radio play in the South is strong with over 430 radio spins in Florida, 374 spins in Lousiana and 343 spins in Texas since the beginning of the year.With her smooth sound, Hollywood connections and her recent publicity push on Billboard, we’re sure to see more of Ms. Ledé in the months to come.OutroThat’s it for your Daily Data Dump for Wednesday April 10th 2019. This is Jason from Chartmetric.Feel free to sign up for a free account at chartmetric.io/signupAnd article links and show notes are at: chartmetric.transistor.fm/episodes.Happy Wednesday, see you tomorrow. 

HighlightsSpotify’s Viral 50 chart highlights music from around the worldRussian trap duo Rauf & Faik take off in the Caucasus regionMissionGood morning, it’s Jason here at Chartmetric with your 3-minute Data Dump where we upload charts, artists and playlists into your brain so you can stay up on the latest in the music data world.DateThis is your Data Dump for Tuesday April 9th 2019.Chart Highlight On Friday April 5th, the Spotify Viral 50 highlighted the global nature of streaming by featuring a Philadelphia-born Puerto Rican artist remix, an Indonesian R&B collaboration, and a Russian hip-hop duo all in the top 10.The #1 spot is occupied by Philadelphia-born, Puerto Rico-raised artist Dalex along with six collaborators in the vibey rap track “Pa Mí - Remix”.The original track was 3:30 long, but the new version is a full 6:00, making room for other Latin artists such as Argentina’s Cazzu and Panama’s Sech.It’s released by the indie label Rich Music, who signed a distribution deal with Warner Music Latina back in 2017, and the remix itself was released on Feb 6th, spending 33 days so far on the Viral 50.The #2 track is slightly newer, released on Feb 21st, and that’s the Indonesian R&B collaboration “Adu Rayu” by Yovie Widianto, Tulus and Glenn Fredly.Google translated as “Flirtation”, the easy-listening ballad is also featured on Top Hits Indonesia at 682K followers and on Apple Music’s The A-List: Indonesian Music.The #10 track in last Friday’s Viral 50 is Russian hip-hop duo Rauf & Faik with the track “Детство” (dee-YEHTS-vha), or “Childhood”.It’s currently at its peak position on the chart, still fresh-faced at only 3 days there, even though it was released half a year ago in Sept 2018.The dark, melodic trap song is part of Friday’s genre tag trend, as the tag “trap music” showed up the most at 15 times with “pop rap” showing up 10 times.Interestingly, the Viral 50 chart brings in the old and makes them new: 96% of the chart’s tracks are older than one month yet none of them have been on there for more than two, showing a tendency to take what’s already been released and giving them new life.Artist Highlight in the NewsThe occupants of the #10 spot, Russian trap duo Rauf & Faik, are performing well stream-wise with 804K Spotify monthly listeners and 30K followers for a listener to follower ratio of 26, putting them in the realm of Dutch DJ/producer Sam Feldt at 26.2 and Grammy-nominated American artist Tierra Whack at 26.1.Rauf & Faik seem to be making lots of waves in Turkey as they are currently featured in the #1 position on the 50-track Hot Hits Türkiye playlist at 354K followers and the Turkey Top 50 with 523K follows in the #7 position.On Apple Music, they are on four different Daily Top 100 charts in Turkey, Uzbekistan, Bulgaria and Azerbaijan, the last of which is their country of origin, though according to our Instagram data, they are currently based in Moscow.Their 463K IG followers skew very young and female, with nearly 40% of their followers falling in the 13-17 female demographic.With 3/4 of their IG fanbase from Russia, Kazakhstan and Ukraine alone and 80% of them speaking primarily Russian, the hopes of an overseas crossover seems unlikely.But since their dark, spacious trap vibes are undoubtedly taking a page out of Post Malone’s sonic playbook, you just never know.OutroThat’s it for your Daily Data Dump for Tuesday April 9th 2019. This is Jason from Chartmetric.Feel free to sign up for a free account at chartmetric.io/signupAnd article links and show notes are at: chartmetric.transistor.fm/episodes.Happy Tuesday, see you tomorrow. 

Summary How much time do you spend maintaining your data pipeline? How much end user value does that provide? Raghu Murthy founded DataCoral as a way to abstract the low level details of ETL so that you can focus on the actual problem that you are trying to solve. In this episode he explains his motivation for building the DataCoral platform, how it is leveraging serverless computing, the challenges of delivering software as a service to customer environments, and the architecture that he has designed to make batch data management easier to work with. This was a fascinating conversation with someone who has spent his entire career working on simplifying complex data problems.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform. If you need global distribution, they’ve got that covered too with world-wide datacenters including new ones in Toronto and Mumbai. And for your machine learning workloads, they just announced dedicated CPU instances. Go to dataengineeringpodcast.com/linode today to get a $20 credit and launch a new server in under a minute. And don’t forget to thank them for their continued support of this show! Managing and auditing access to your servers and databases is a problem that grows in difficulty alongside the growth of your teams. If you are tired of wasting your time cobbling together scripts and workarounds to give your developers, data scientists, and managers the permissions that they need then it’s time to talk to our friends at strongDM. They have built an easy to use platform that lets you leverage your company’s single sign on for your data platform. Go to dataengineeringpodcast.com/strongdm today to find out how you can simplify your systems. Alluxio is an open source, distributed data orchestration layer that makes it easier to scale your compute and your storage independently. By transparently pulling data from underlying silos, Alluxio unlocks the value of your data and allows for modern computation-intensive workloads to become truly elastic and flexible for the cloud. With Alluxio, companies like Barclays, JD.com, Tencent, and Two Sigma can manage data efficiently, accelerate business analytics, and ease the adoption of any cloud. Go to dataengineeringpodcast.com/alluxio today to learn more and thank them for their support. You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management. For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. Go to dataengineeringpodcast.com/conferences to learn more and take advantage of our partner discounts when you register. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the mailing list, read the show notes, and get in touch. To help other people find the show please leave a review on iTunes and tell your friends and co-workers Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Your host is Tobias Macey and today I’m interviewing Raghu Murthy about DataCoral, a platform that offers a fully managed and secure stack in your own cloud that delivers data to where you need it

Interview

Introduction How did you get involved in the area of data management? Can you start by explaining what DataCoral is and your motivation for founding it? How does the data-centric approa

HighlightsSpotify’s Fresh Finds celebrate indie music in our aggregate chartAmerican producer Marshmello sees a 375% increase in Indian YouTube views for his cross-border collaborationAmazon Music’s “All Hits” assumes its place as the tech giant’s flagship playlistMissionGood morning, it’s Jason here at Chartmetric with your 3-minute Data Dump where we upload charts, artists and playlists into your brain so you can stay up on the latest in the music data world.DateThis is your Data Dump for Monday April 1st 2020. Just joking, it’s still 2019. Happy April Fool’s Day.ChartsOnce a week, our Spotify Fresh Finds chart aggregates the platform’s eight discovery-oriented playlists. For the chart ending on March 28th, there are 402 tracks total with the dance track “Your Love” by French DJ Mercer being the most playlisted of the bunch at 42.According to Quartz, Spotify’s non-personalized, human-curated playlist series focuses on a designated set of tastemakers that have proven to show high listening activity on unknown tracks before they become popular.For the previous week, Mercer’s dance track appeared on two Fresh Finds playlists: the main one and also the Fresh Finds: Basement playlist, which caters to electronic and dance music fans.The main Fresh Finds playlist features 659K followers and the Basement version features 42K, but with its focus on independent artists/labels, the Fresh Finds series is more about taste-making: the few forecasting tomorrow’s sounds for the many.114 of the 402 aggregate tracks have 4+ minute durations, no genre tag appears more than 3 times, and labels/distributors such as DistroKid, !K7, Empire and Platoon led the chart with a total of 16 tracks, companies made their reputations as being fiercely indie….so if you’re lacking in the hipster friend department, check out Fresh Finds to fill in the void.Artist Highlight in the NewsOn February 1st, American DJ/producer Marshmello released an India-US collaboration with Mumbai-based composer Pritam entitled “BIBA”, which currently has a Spotify Popularity Index of 72 out of 100, and over 32M views on YouTube.Marshmello’s penchant for innovation has become very clear this year after DJ-ing a live set on the gaming juggernaut that is Fortnite while releasing BIBA at the same time.His 1-2 punch of the Fortnite stream on Feb 2nd directly after the Feb 1st BIBA release caused quite a spike of interest in him, with both his daily Wikipedia views and Instagram followers increasing ten-fold. However, the strength of BIBA became clear when the official YouTube video released two weeks later on Feb 14th, triggering a 375% increase in daily views in India to 2.1M, and making Indian Instagram followers his second most loyal geographic demo at 9.5%, with his first being the US at 19%.At 10.4M Spotify followers and four times as many monthly listeners at 44.7M, Marshmello’s dynamic career moves are obviously paying off.Playlist Round-Up “All Hits” seems to be Amazon Music’s #1 playlist, even though there is no follower count publicly displayed. Both within the app and on the browser, it is consistently one of the first playlists you see in the interface.Likely the tech giant’s equivalent to Spotify’s “Today’s Top Hits” or Apple’s “Today’s Hits”, it has 50 tracks currently and total running time of 2 hours and 45 minutes.In the past month, tracks have been changed out on Wednesday and Thursday by the default platform curator named “Amazon’s Music Experts”, and roughly half the track tags are “pop” naturally with a strong US focus at 77% American artists.“Without Me” from Jersey-born, LA-based singer Halsey occupies the current top spot, the only track of 50 not replaced last week.We’ve got limited data on “All Hits” since Amazon Music is a new data source, but stay tuned for later updates as the Alexa-driven platform will only continue to grow the #3 most subscribed to streaming platform in the world.OutroThat’s it for your Daily Data Dump for Monday April 1st 2019. This is Jason from Chartmetric, if you’re enjoying the podcast, share it with a colleague.If you missed a detail, you can always get full show notes at: chartmetric.transistor.fm/episodes.Happy Monday, see you tomorrow!

Summary Analytics projects fail all the time, resulting in lost opportunities and wasted resources. There are a number of factors that contribute to that failure and not all of them are under our control. However, many of them are and as data engineers we can help to keep our projects on the path to success. Eugene Khazin is the CEO of PrimeTSR where he is tasked with rescuing floundering analytics efforts and ensuring that they provide value to the business. In this episode he reflects on the ways that data projects can be structured to provide a higher probability of success and utility, how data engineers can get throughout the project lifecycle, and how to salvage a failed project so that some value can be gained from the effort.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform. If you need global distribution, they’ve got that covered too with world-wide datacenters including new ones in Toronto and Mumbai. And for your machine learning workloads, they just announced dedicated CPU instances. Go to dataengineeringpodcast.com/linode today to get a $20 credit and launch a new server in under a minute. And don’t forget to thank them for their continued support of this show! Managing and auditing access to your servers and databases is a problem that grows in difficulty alongside the growth of your teams. If you are tired of wasting your time cobbling together scripts and workarounds to give your developers, data scientists, and managers the permissions that they need then it’s time to talk to our friends at strongDM. They have built an easy to use platform that lets you leverage your company’s single sign on for your data platform. Go to dataengineeringpodcast.com/strongdm today to find out how you can simplify your systems. Alluxio is an open source, distributed data orchestration layer that makes it easier to scale your compute and your storage independently. By transparently pulling data from underlying silos, Alluxio unlocks the value of your data and allows for modern computation-intensive workloads to become truly elastic and flexible for the cloud. With Alluxio, companies like Barclays, JD.com, Tencent, and Two Sigma can manage data efficiently, accelerate business analytics, and ease the adoption of any cloud. Go to dataengineeringpodcast.com/alluxio today to learn more and thank them for their support. You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management. For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. Go to dataengineeringpodcast.com/conferences to learn more and take advantage of our partner discounts when you register. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the mailing list, read the show notes, and get in touch. To help other people find the show please leave a review on iTunes and tell your friends and co-workers Your host is Tobias Macey and today I’m interviewing Eugene Khazin about the leading causes for failure in analytics projects

Interview

Introduction How did you get involved in the area of data management? The term "analytics" has grown to mean many different things to different people, so can you start by sharing your definition of what is in scope for an "analytics project" for the purposes of this discussion?

Wh

HighlightsBeatport’s Top 100 chart keeps highlighting the latest music in the club world, and today, we’re doing aSpecial artist deep-dive into a Norwegian producer who found streaming success in a far-off land called...SeattleMissionGood morning, it’s Jason here at Chartmetric with your 3-minute Data Dump where we upload charts, artists and playlists into your brain so you can stay up on the latest in the music data world.DateThis is your Data Dump for Friday March 29th 2019.ChartsBeatport.com is the go-to electronic music marketplace for professional DJs around the world so they can make people dance. With over 60K suppliers and labels, 450K customers and 35M unique annual visitors, Beatport is a B2B business at its core: providing high quality downloads so DJs can fill their sonic arsenal.It also provides a weekly Top 100 chart that essentially becomes an up-to-date soundtrack to what clubbers are getting down to globally.For the week ending March 22nd, “Inside My Head” by UK-based duo Audiojack took the #1 most purchased download for the second week in a row spending 10 days on the chart. Spinnin’ Records had the most tracks with 4, including a David Guetta and Tom Staar track, while legendary London-based Ministry of Sound Recordings had 2.While you may see some familiar Top 40 names such as Childish Gambino in the #3 spot or Calvin Harris & Rag’n’Bone Man at #5, the Beatport Top 100 is really an anti-pop serum: nearly half the chart’s tracks have 4-minute-plus run times, zero tracks directly releasing into the chart and nearly ⅔ of the list spending less than a week on the chart themselves...meaning lots of track turnover, and lots of opportunities for emerging artists with great dance music.Artist Highlight in the NewsHere’s an interesting case of streaming’s global nature at its finest: Norway-based house producer Simon Field found unexpected attention in Seattle upon the release of his track “Shake the Tree” on January 25th.Field, who sports a 53 Spotify Popularity Index score and 385K monthly listeners despite having only 10K followers, is an example of an emerging artist that organically over-indexes their stream count in a particular city for an unknown reason.Upon “Shake the Tree”’s release, it found a snug spot in the #62 position of the 90-track New Music Friday playlist for that week, which then seemed to feed playlist adds within 24 hours on no less than 20 mid-tier playlists ranging from 10 to 80K followers.While Sony-owned playlist curator Filtr UK’s “Dance All Night” was among these lists, Field had no major label support in the release, and yet from Feb 21st to March 20th saw a 455% increase in monthly listeners in Seattle, peaking at 7.4K.Virtually mirroring Field’s rise in Seattle however, a certain mid-tier playlist called “CloudKid” by the curator of the same name added “Shake the Tree” with 98K followers…..adding the track on Feb 16th, and removing it on March 21st, after which day Field saw an immediate decrease in Spotify listener growth in Seattle after a month long increase.Coincidence? Possibly, except for the fact that CloudKid is an influential electronic music label & curator who came up on YouTube, with a channel influencing 2.9M subscribers with over 906M total views.While the connection between Seattle and CloudKid’s audience is still unclear, the data suggests at the minimum an appreciation of mid-tier, five-digit follower count playlists helping propagate new music.And at its best, Field may have a unique case of cross-platform success where a veteran YouTube curator’s side hustle (or here, a Spotify playlist) gave an unknowing artist streaming success thousands of miles away.Playlist Round-Up (none)OutroThat’s it for your Daily Data Dump for Friday March 29th 2019. This is Jason from Chartmetric, if you’re enjoying the podcast, hit that subscribe button so you get the latest episodes at the earliest time.And if you feel like you missed something, you can get full show notes at: chartmetric.transistor.fm/episodes.Have a great weekend, see you Monday!

HighlightsJ Balvin and French rapper Ninho takeover Deezer’s Top Worldwide chartAtlanta artist Lil Nas X embodies a viral artist on the rise, and“Selección Editorial” is Deezer’s #2 most followed playlist MissionGood morning, it’s Jason here at Chartmetric with your 3-minute Data Dump where we upload charts, artists and playlists into your brain so you can stay up on the latest in the music data world.DateThis is your Data Dump for Thursday March 28th 2019.ChartsParis-based streaming platform Deezer updated its most-listened-to chart yesterday called Top Worldwide. It functions similar to a playlist, with 367K fans following the top tracks chart.Collecting streams from the 187 countries Deezer operates in, Top Worldwide has 100 tracks with French rap duo PNL in the #1 spot with “Au DD”, whose YouTube video released less than a week ago and has 21M views as of yesterday.Besides PNL, the rest of the top tracks looks quite familiar with Post Malone, Ariana Grande and Daddy Yankee all showing up in the top 10.Leading the Deezer chart with the most entries however, were two artists tied at six tracks each: Colombia’s J Balvin and France’s Ninho.Interestingly enough, both rappers’ got there in very different ways: J Balvin’s tracks were all multi-artist collaboration tracks either on someone else’s album or one-off singles, while the Congolese-French Ninho has six of 18 tracks off his new album release “Destin” (des-TAHN) getting its fair share of attention on Deezer.Artist Highlight in the NewsThe viral, genre-defying track “Old Town Road” by emerging Atlanta rapper Lil Nas X made news on Tuesday when Rolling Stone reported that Billboard removed the country-themed trap song from its Hot Country Songs chart.Loaded social issues aside, Lil Nas X’s music data profile at this moment is a fascinating study in what viral status looks like.With only 19K Spotify followers, he has managed to pull 5.7M monthly listeners, giving him an unworldly 300 listener to follower ratio.Currently on Spotify’s Today’s Top Hits playlist in the #12 spot and Apple Music’s Top 100: Global playlist in the #1 spot, Lil Nas X has managed grow a total playlist follower reach of 314K just one month ago, to a playlist follower reach over 55M.In only the past ten days, he’s more than doubled his Instagram follower count to 92K, so Billboard Country chart or not, this cowboy sure won’t be by his lonesome.Playlist Round-Up “Selección Editorial” is currently the #2 Deezer playlist on the platform at 6.6M fans. It’s ran by their editorial team in México, who typically change the tracks on Saturday.This week, there’s 149 tracks with “pop”, “Latin”, “tropical”, “reggaetón” and “edm” being the most common genre tags.The current artist roster surprisingly is 43% from the US and UK, with 29% of them from México, Puerto Rico, Spain and Colombia.Selección Editorial caters to frontline material, as ⅔ of the tracks were released within a week of its release, however it changes at a glacial pace: it’s 28-day add ratio is only 5%, meaning that in the last month only 5% of the playlist got refreshed with new tracks.Additionally, over 87% of its historical tracks lived there from one to six months, so while your new release has little chance of getting on Selección Editorial, the chosen few do get to spend quite some time on it.OutroThat’s it for your Daily Data Dump for Thursday March 28th 2019. This is Jason from Chartmetric, if you want to dig into más data, visit chartmetric.io/signup. That’s chartmetric (no s) dot IO slash signup.Happy Thursday, see you tomorrow!