Details

PBIMCR November 2024 Meetup

When: Thursday 28th of November 2024 Time: arrive for 5:30pm with talks starting from 6pm start prompt Location: Incspaces \| 2 Mount St \| Manchester \| M2 5WQ \| Session will not be streamed over MS Teams Complimentary Drinks and Pizza will be provided by our long-time sponsor Robert Walters https://www.robertwalters.co.uk/our-stories/power-bi-manchester-user-group.html

Speakers: Laura Graham-Brown & Sue Bayes

Topics Enhancing Power BI & Fabric with Power Automate

Power BI and Microsoft Fabric are amazing and wonderful, but sometimes they need some help. Power Automate is also amazing but it really can’t do data. When matched together correctly they enhance each other. Power Automate adds to the orchestration and reflex options within Microsoft Fabric. Power BI delivers transformed data to feed Power Automate actions. Lots of demos and laughter.

Bio Laura is an independent consultant with a job title of Problem Solver. An advocate for the business owning as much of a solution as they can and with the right governance in place low-code is awesome. She makes M365, Power Platform and Microsoft Fabric play nicely.

Unleashing Python in Fabric Join us for an immersive hour-long session showcasing the incredible power of Python within the Fabric environment, with the added capability of connecting to and using Semantic Link Labs. Discover how to effortlessly extract, clean, transform, and move data, and see how Python’s versatility can streamline data workflows while leveraging Semantic Link for enhanced semantic modeling.

In this demo-driven session, we’ll demonstrate how to seamlessly integrate Python scripts with Fabric’s Direct Lake capabilities to create lightning-fast, scalable Power BI reports, while also using Python to automate your workflow.

From data manipulation to real-time insights and semantic modeling, this session is perfect for data enthusiasts and Power BI professionals looking to take their reporting to the next level using Python. Don’t miss out on this hands-on opportunity to revolutionize your data processes!

Join us for an enriching webinar that delves into one of the most significant financial transformations in Africa: the Ghana Eurobond restructuring. This session brings together three highly respected experts who will share their insights into the intricacies of sovereign debt management and the financial challenges Africa faces today.

Featuring Samuel Sule, CFA, CEO of Renaissance Capital Africa, Dr. Ola Brown MFR, Founding Partner of HealthCap Africa, and David Brown, Managing Partner at dbrownconsulting, the event will offer a comprehensive look at how diplomacy, investment, and financial modeling are reshaping Africa’s economic landscape. You can register here: bit.ly/dbc-61

Expect a deep dive into the strategies and lessons learned from Ghana's restructuring, as well as actionable insights on how sustainable frameworks and innovative financial tools are paving the way for Africa's economic resilience.

Don’t miss this opportunity to learn from leaders driving change in the African financial ecosystem!

Date: Friday, October 11th, 2024 Time: 1 PM WAT Register Now: bit.ly/dbc-61

🎉 Learn how to navigate the gap between a management role and the executive team with Sarah E. Brown. Sarah will be covering what to do in your first 90 days, how to build and sustain a healthy team culture, and the art of communicating results to your leadership team and board. After her presentation, we will have an AMA session.

⏰ Schedule (CET) 17:00 - 17:05 Intros 17:05 - 18:00 Presentation and Q&A

✨ About the Organizers We are on a mission to help companies discover and deliver great products faster. We do this by empowering our community to share knowledge generously. And through our consulting engagements, we do all the hands-on and unglamorous work of a Product Manager on an Interim basis (3-12 months). We onboard fast, align teams and deliver outcomes. 😉

👋 Join the conversation on Telegram 📲 Connect with us on LinkedIn 📺 Watch our previous talks here 🚀 Would you like to attend one of our in-person events? Check the calendar here 💌 Don't forget to subscribe to our newsletter to be up-to-date with the latest Product News. 🤩 Step Up: Do you want to speak at our next events? Email [email protected]

🎙️ Speaker: Niall Oulton\, Carlos Eduardo Trujillo Agostini \| ⏰ Time: 17:00 UTC / 9:00 am PT / 12:00 pm ET / 6:00 pm Berlin

As the year draws to a close, it's time to reflect on the remarkable journey of PyMC-Marketing. We've witnessed significant advancements with the addition of several new features, and now, our users are beginning to harness their potential.

Join us on this special occasion, for an immersive experience. We're excited to present a live demo, meticulously designed to showcase a selection of compelling use cases. These cases are not just theoretical constructs; they are real-world applications demonstrated by actual users of PyMC-Marketing. Witness firsthand how our platform has been instrumental in their success.

To add more substance to our session and ensure it's not just informative but also engaging, we've planned a unique segment featuring the new GPT model developed by Niall. The new GPT will be the most powerful assistant to create MMM models.

Don't miss this opportunity to delve into the world of PyMC-Marketing, discover new use cases, and explore the ease of using GPT for your MMM models. We promise you an event filled with learning, interaction, and innovation.

Looking forward to an insightful and invigorating session with you!

📜 Outline of Talk / Agenda:

• 5 min: Intro to PyMC Labs and speakers
• 45 min: Presentation, panel discussion
• 10 min: Q&A

💼 About the speaker:

1. Niall Oulton

Niall Oulton has built a reputation as a leading expert in the field of marketing analytics, with a specialization in Bayesian Marketing Mix Modelling. His career, spanning over a decade, has seen him on both sides of the business landscape - agency and client. His rich background provides him with a unique perspective, making him an expert in understanding and navigating the complexities of both worlds.

Previously, Niall played an integral role in the development and deployment of an entire Bayesian MMM workflow at a global agency. This experience enabled him to gain valuable insight into the potential risks, benefits and pitfalls of in-housing a marketing effectiveness measurement programme.

🔗 Connect with Niall: 👉 LinkedIn: https://www.linkedin.com/in/nialloulton20/ 👉 Twitter: https://twitter.com/niall20 👉 GitHub: https://github.com/nialloulton 👉 Website: https://1749.io/

1. Carlos Eduardo Trujillo Agostini

Carlos, a seasoned marketing scientist with international experience, has built a career pushing the boundaries of traditional marketing strategies. Now, at Bolt, he's leading the evolution of their Marketing Mix Modeling through the innovative use of PyMC, demonstrating the transformative power of data-driven decision making in the marketing realm

🔗 Connect with Carlos: 👉 GitHub: https://github.com/cetagostini 👉 Linkedin: https://linkedin.com/in/cetagostini

💼 About the Host:

1. Dr. Thomas Wiecki (PyMC Labs)

Dr. Thomas Wiecki is an author of PyMC, the leading platform for statistical data science. To help businesses solve some of their trickiest data science problems, he assembled a world-class team of Bayesian modelers and founded PyMC Labs -- the Bayesian consultancy. He did his PhD at Brown University studying cognitive neuroscience.

🔗 Connect with Thomas Wiecki: 👉 Website: https://www.pymc-labs.com/ 👉 GitHub: https://github.com/twiecki 👉 Twitter: https://twitter.com/twiecki 👉 Blog posts: https://twiecki.io/

📖 Code of Conduct: Please note that participants are expected to abide by PyMC's Code of Conduct.

🔗 Connecting with PyMC Labs: 👥 LinkedIn: https://www.linkedin.com/company/pymc-labs/ 🐦 Twitter: https://twitter.com/pymc_labs 🎥 YouTube: https://www.youtube.com/c/PyMCLabs 🤝 Meetup: https://www.meetup.com/pymc-labs-online-meetup/

🎙️ Speaker: Niall Oulton\, Thomas Wiecki \| ⏰ Time: 16:00 UTC / 9am PT / 12pm ET / 6pm Berlin

Join us for a dynamic discussion on building your own in-house marketing analytics solution and mastering marketing effectiveness:

In today's marketing landscape, understanding how your marketing efforts impact your business has become a critical component for success. This meetup will provide an exploration of marketing effectiveness measurement and why it's integral to long-term growth..

Join our expert panel as they navigate the pros and cons of outsourcing marketing analytics to an agency versus developing an in-house solution. The discussion will encompass agency benefits like broad industry expertise, advanced tools, and unbiased perspectives, weighed against the financial commitments, reduced autonomy, and transparency issues. On the other hand, in-house solutions offer control over data and processes, domain knowledge, responsiveness, confidentiality, and potential cost savings, but come with their own challenges.

We are excited to introduce a potential solution - PyMC - Marketing (https://www.pymc-marketing.io/en/stable/index.html). This Bayesian, open-source software offers a transparent, modifiable solution. It's an exciting advancement in the marketing analytics space, perfect to build an in-house marketing measurement solution, as seen by Bolt in their latest case study: https://bolt.eu/en/blog/budgeting-with-bayesian-models-pymc-marketing/

Don't miss this opportunity to gain insights from industry leaders and meet like-minded professionals who are passionate about leveraging data for marketing effectiveness. Whether you're a seasoned CMO or a marketing analyst, there's something for everyone in this meetup.

📜 Outline of Talk / Agenda:

• 5 min: Intro to PyMC Labs and speakers
• 45 min: Presentation, panel discussion
• 10 min: Q&A

💼 About the speaker:

1. Niall Oulton Niall Oulton has built a reputation as a leading expert in the field of marketing analytics, with a specialization in Bayesian Marketing Mix Modelling. His career, spanning over a decade, has seen him on both sides of the business landscape - agency and client. His rich background provides him with a unique perspective, making him an expert in understanding and navigating the complexities of both worlds. Previously, Niall played an integral role in the development and deployment of an entire Bayesian MMM workflow at a global agency. This experience enabled him to gain valuable insight into the potential risks, benefits and pitfalls of in-housing a marketing effectiveness measurement programme.

🔗 Connect with Niall Oulton: 👉 LinkedIn: https://www.linkedin.com/in/nialloulton20/ 👉 Twitter: https://twitter.com/niall20 👉 GitHub: https://github.com/nialloulton 👉 Website: https://1749.io/

1. Dr. Thomas Wiecki (PyMC Labs) Dr. Thomas Wiecki is an author of PyMC, the leading platform for statistical data science. To help businesses solve some of their trickiest data science problems, he assembled a world-class team of Bayesian modelers and founded PyMC Labs -- the Bayesian consultancy. He did his PhD at Brown University studying cognitive neuroscience.

🔗 Connect with Thomas Wiecki: 👉 GitHub: https://github.com/twiecki 👉 Twitter: https://twitter.com/twiecki 👉 Website: https://twiecki.io/

📖 Code of Conduct: Please note that participants are expected to abide by PyMC's Code of Conduct.

🔗 Connecting with PyMC Labs: 👥 LinkedIn: https://www.linkedin.com/company/pymc-labs/ 🐦 Twitter: https://twitter.com/pymc_labs 🎥 YouTube: https://www.youtube.com/c/PyMCLabs 🤝 Meetup: https://www.meetup.com/pymc-labs-online-meetup/

🔗 Connecting with PyMC Open Source: 💬 Q&A/Discussion: https://discourse.pymc.io 🐙 GitHub: https://github.com/pymc-devs/pymc 💼 LinkedIn: https://www.linkedin.com/company/pymc/mycompany 🐥 Twitter: https://twitter.com/pymc_devs 📺 YouTube: https://www.youtube.com/c/PyMCDevelopers 🎉 Meetup: https://www.meetup.com/pymc-online-meetup/

Summary

Real-time capabilities have quickly become an expectation for consumers. The complexity of providing those capabilities is still high, however, making it more difficult for small teams to compete. Meroxa was created to enable teams of all sizes to deliver real-time data applications. In this episode DeVaris Brown discusses the types of applications that are possible when teams don't have to manage the complex infrastructure necessary to support continuous data flows.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools. Sign up free at dataengineeringpodcast.com/rudderstack Your host is Tobias Macey and today I'm interviewing DeVaris Brown about the impact of real-time data on business opportunities and risk profiles

Interview

Introduction How did you get involved in the area of data management? Can you describe what Meroxa is and the story behind it?

How have the focus and goals of the platform and company evolved over the past 2 years?

Who are the target customers for Meroxa?

What problems are they trying to solve when they come to your platform?

Applications powered by real-time data were the exclusive domain of large and/or sophisticated tech companies for several years due to the inherent complexities involved. What are the shifts that have made them more accessible to a wider variety of teams?

What are some of the remaining blockers for teams who want to start using real-time data?

With the democratization of real-time data, what are the new categories of products and applications that are being unlocked?

How are organizations thinking about the potential value that those types of apps/services can provide?

With data flowing constantly, there are new challenges around oversight and accuracy. How does real-time data change the risk profile for applications that are consuming it?

What are some of the technical controls that are available for organizations that are risk-averse?

What skills do developers need to be able to effectively design, develop, and deploy real-time data applications?

How does this differ when talking about internal vs. consumer/end-user facing applications?

What are the most interesting, innovative, or unexpected ways that you have seen Meroxa used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Meroxa? When is Meroxa the wrong choice? What do you have planned for the future of Meroxa?

Contact Info

LinkedIn @devarispbrown on Twitter

Parting Question

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

Closing Announcements

Thank you for listening! Don't forget to check out our other shows. Podcast.init covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning. Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email [email protected]) with your story. To help other people find the show please leave a review on Apple Podcasts and tell your friends and co-workers

Links

Meroxa

Podcast Episode

Kafka Kafka Connect Conduit - golang Kafka connect replacement Pulsar Redpanda Flink Beam Clickhouse Druid Pinot

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

Summary Analytical workloads require a well engineered and well maintained data integration process to ensure that your information is reliable and up to date. Building a real-time pipeline for your data lakes and data warehouses is a non-trivial effort, requiring a substantial investment of time and energy. Meroxa is a new platform that aims to automate the heavy lifting of change data capture, monitoring, and data loading. In this episode founders DeVaris Brown and Ali Hamidi explain how their tenure at Heroku informed their approach to making data integration self service, how the platform is architected, and how they have designed their system to adapt to the continued evolution of the data ecosystem.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management What are the pieces of advice that you wish you had received early in your career of data engineering? If you hand a book to a new data engineer, what wisdom would you add to it? I’m working with O’Reilly on a project to collect the 97 things that every data engineer should know, and I need your help. Go to dataengineeringpodcast.com/97things to add your voice and share your hard-earned expertise. 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 their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform. Go to dataengineeringpodcast.com/linode today and get a $60 credit to try out a Kubernetes cluster of your own. And don’t forget to thank them for their continued support of this show! Are you bogged down by having to manually manage data access controls, repeatedly move and copy data, and create audit reports to prove compliance? How much time could you save if those tasks were automated across your cloud platforms? Immuta is an automated data governance solution that enables safe and easy data analytics in the cloud. Our comprehensive data-level security, auditing and de-identification features eliminate the need for time-consuming manual processes and our focus on data and compliance team collaboration empowers you to deliver quick and valuable data analytics on the most sensitive data to unlock the full potential of your cloud data platforms. Learn how we streamline and accelerate manual processes to help you derive real results from your data at dataengineeringpodcast.com/immuta. Today’s episode of the Data Engineering Podcast is sponsored by Datadog, a SaaS-based monitoring and analytics platform for cloud-scale infrastructure, applications, logs, and more. Datadog uses machine-learning based algorithms to detect errors and anomalies across your entire stack—which reduces the time it takes to detect and address outages and helps promote collaboration between Data Engineering, Operations, and the rest of the company. Go to dataengineeringpodcast.com/datadog today to start your free 14 day trial. If you start a trial and install Datadog’s agent, Datadog will send you a free T-shirt. 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 platforms. For more opportunities to stay up to date, gain new skills, and learn from your peers there are a growing number of virtual events that you can attend from the comfort and safety of your home. Go to dataengineeringpodcast.com/conferences to check out the upcoming events being offered by our partners and get registered today! Your host is Tobias Macey and today I’m interviewing DeVaris Brown and Ali Hamidi about Meroxa, a new platform as a service for dat

HighlightsIt’s Found on Friday: we dig up an American rapper, a Dutch DJ and Albanian pop star spiking in their Spotify Popularity Index.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 Friday May 17th 2019.Found on Friday: MAJ, Adam Brown & XhensilaIt’s Found on Friday where we dip into our A&R tool to find emerging artists making their way into the public eye.If we search by the biggest change in Spotify Popularity Index (or SPI) in the past 28 days, we uncover three artists with very different backgrounds: Amercian rapper MAJ, Dutch DJ/producer Adam Brown and Albanian pop star Xhensila.I hope I’m saying these artists’ names correctly, here we go.Going from 1 to 39 SPI in the past month is MAJ, currently based out of Dallas, Texas, featuring “grunge-inflected production, soulful delivery, and nocturnal hip-hop with stark vulnerability and confessional storytelling.”With 155K Spotify monthly listeners and only 3K followers, this gives him a listeners to followers ratio of 51, which for a strong signal for him.From April 26th to May 3rd, he enjoyed a #47 slot on the 100-track New Music Friday playlist, which has 3.2M followers currently.MAJ is still enjoying a Spotify editorial playlist placement on the Shisha Lounge playlist at 375K followers, but more interestingly, he’s on 27 playlists with more than 10K followers that seem to be focused on sub-culture categories such as “sad” or “emo rap” or gaming culture playlists like EA Sports’ NHL franchise. It wouldn’t be a stretch to say that these lower-tier playlists are likely playing a big part in MAJ’s strong rise on the platform.Adam Brown in the Netherlands currently has 11 dance music tracks on Spotify, with his latest track “Your Body” being what seems to be driving his SPI rise in the past month from 1 to 31.This increase isn’t from Spotify playlisting, as he’s on no editorial playlists, and his biggest one is currently “Dance Hits” by curator globalmusicx with only 6.5K followers.The reasons for his jump in SPI in late April is not clear, but by checking his Twitter, it may be from a more organic off-platform source via his own hosted local dance radio show or possibly from club play, given the very electronic music-oriented region and that his #2 and #3 top Spotify monthly listener cities are very locally Dutch: Ermelo and Harderwijk. Definitely butchered those names.Last but not least is pop star Xhensila from Albania, who represents the kind of “emerging artist” that is only emerging to the Spotify market, as Xhensila is already a big deal in her part of the world.In the past month, she jumped from an SPI of 2 to 56 despite having only 100 monthly listeners with 449 followers for a ratio under 1.Her most followed playlist, “Albanian Hits 2019” has 20K followers, but her six total tracks don’t seem to be generating that much attention playlisting wise.More than likely, Xhensila’s Spotify popularity is being generated by her 1.3M followers on Instagram, where her streaming link in her IG bio leads to Spotify. One of the lessons that can be gleaned here is that Spotify statistics are just Spotify statistics...Xhensila obviously is quite the star in Albania, further proven by her 154K YouTube followers and her nine very popular music videos there, the biggest one hitting 39M views to date.So we’ll leave you for the weekend with an American rapper, Dutch DJ and Albanian pop queen to explore...three different paths, three different vibes.OutroThat’s it for your Daily Data Dump for Friday May 17th 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 Friday, see you tomorrow!