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Data Engineers London returns in May at Bunch of Grapes pub at London Bridge!

This time, we will be learning about data quality agents and anomaly detection. Our speakers this month will be sharing with you what they learned from building data quality agents as well as showing you how to set up anomaly monitoring for IoT systems.

Details of the evening are as follow:

Agenda: 6pm: Networking

6:30pm: Insights & Lessons from building a data quality agent. Petr Janda, CEO & Founder at SYNQ Petr's LinkedIn

7:00pm - 7:10pm: Break

7:10pm - 7:50pm: Detecting Anomalies in Real-Time: ML Meets IoT on Raspberry Pi. Suyash Joshi, Senior Developer Advocate at InfluxData Suyash's LinkedIn

7:50pm onwards: Further networking at Bunch of Grapes for anyone who would like to stay on!

RSVP on Meetup. Thank you to SYNQ for helping us make this event happen.

Happy Networking!

With analytics teams' growing ambition to build business automation, foundational AI systems, or customer-facing products, we must shift our mindset about data quality. Mechanically applied testing will not be enough; we need a more robust strategy akin to software engineering.

We outline a new approach to data testing and observability anchored in the ‘Data Products’ concept and walk through the practical implementation of a production-grade analytics system at SYNQ, powered by ClickHouse and dbt.

Speaker: Petr Janda Founder SYNQ

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

Welcome to the 2024 fall Oslo dbt meetup.

Just as the sun disappears for winter we will try to brighten the day with a new meetup for dbt enthusiast!

We are trying to host it during working hours this time, to see how that pans out. This time the meetup will also be hosted in the outskirts of Oslo, at Telenors premises on Fornebu.

To get to Fornebu, a good option is to take the train to Lysaker, and then change to a bus (or walk) to Telenor. The bus-stop is Telenor Fornebu or Fornebuparken Google maps directions: https://maps.app.goo.gl/DH25DThAe7s4mdw3A Telenor Expo is the location we are hosting the meetup in. Visitors do not need to register UPDATE: The auditorium is "The voice", - it is located in the basement! Take the rightmost entrance to get into Expo, not the one on the left side!

Guests can use the parking house (Snarøyveien 30) Parking prices you can find here: Norwegian Property Fornebu | Onepark

To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy

Agenda 13:00 - 13:30 - Mingling and food 13:30 - 13:40 - Welcome by Anders 13:40 - 14:10 - How Telenor is adapting DataOps through dbt by Keunsoo Park (TELENOR) 14:15 - 14:45 - Data spaghetti to data buffet - How we use dbt at Nav to make data more flexible and user friendly while improving DX. Caroline Winther and Brynjar Morka Mæhlum (NAV) 14:50 - 15:20 - A new approach to dbt testing & observability with Data Products. Petr Janda (SYNC) 15:20-16:00 - Networking

➡️ Join the dbt Slack community: https://www.getdbt.com/community/ 🤝For the best Meetup experience, make sure to join the #local-norway channel in dbt Slack (https://slack.getdbt.com/). ---------------------------------- dbt is the standard in data transformation, used by over 40,000 organizations worldwide. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust. Learn more: https://www.getdbt.com/

We're delighted to announce our next meetup will be hosted by Checkout.com.

Agenda:

6:00pm: Doors open, networking, food, drinks. 7:00pm: Talks start! 8:00pm: Talks finish, Q&A. 8:30pm: Further drinks and networking.

Speakers:

Beyond D2C: Unlocking B2B Growth with Marketing Mix Modeling – Jake Barnett + Adam Dathi + John Napoleon-Kuofie - Day1Data

A practical guide to building data testing and monitoring - Petr Janda, Founder at Sync

London Analytics Engineering Meetup is focused on discussing and spreading best practices in the growing field of analytics engineering. Whether you've set up the "Modern Data Stack" many times over or are brand new to tools like dbt, Looker, Snowflake, Bigquery and more, this is the meetup for you.

Hello all

Join us for "Bytes & Brews: Data Enthusiasts' Summer Biergarten Meetup" at Lindenbräu am Potsdamer Platz! Starting at 18:00, this is the first time we are doing a more casual summer event, so we promises a perfect blend of tech and good time for after work drinks.

📅 When: 5th September 📍 Where: Lindenbräu am Potsdamer Platz

What’s Brewing?

• A short talk by Petr Janda, Founder & CEO of Synq 🗣️
• Plus a surprise segment: TBD 🔍

This fun and casual event is co-organized and hosted by Synq, a company specializing in data quality and reliability solutions for tech giants and growing businesses. Join us for a great mix of networking, learning, and enjoying some delicious brews in a charming Berlin beer garden setting! 🌳🍺

Summary This episode features an insightful conversation with Petr Janda, the CEO and founder of Synq. Petr shares his journey from being an engineer to founding Synq, emphasizing the importance of treating data systems with the same rigor as engineering systems. He discusses the challenges and solutions in data reliability, including the need for transparency and ownership in data systems. Synq's platform helps data teams manage incidents, understand data dependencies, and ensure data quality by providing insights and automation capabilities. Petr emphasizes the need for a holistic approach to data reliability, integrating data systems into broader business processes. He highlights the role of data teams in modern organizations and how Synq is empowering them to achieve this. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data managementData lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake. Trusted by teams of all sizes, including Comcast and Doordash. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino.Your host is Tobias Macey and today I'm interviewing Petr Janda about Synq, a data reliability platform focused on leveling up data teams by supporting a culture of engineering rigorInterview IntroductionHow did you get involved in the area of data management?Can you describe what Synq is and the story behind it? Data observability/reliability is a category that grew rapidly over the past ~5 years and has several vendors focused on different elements of the problem. What are the capabilities that you saw as lacking in the ecosystem which you are looking to address?Operational/infrastructure engineers have spent the past decade honing their approach to incident management and uptime commitments. How do those concepts map to the responsibilities and workflows of data teams? Tooling only plays a small part in SLAs and incident management. How does Synq help to support the cultural transformation that is necessary?What does an on-call rotation for a data engineer/data platform engineer look like as compared with an application-focused team?How does the focus on data assets/data products shift your approach to observability as compared to a table/pipeline centric approach?With the focus on sharing ownership beyond the boundaries on the data team there is a strong correlation with data governance principles. How do you see organizations incorporating Synq into their approach to data governance/compliance?Can you describe how Synq is designed/implemented? How have the scope and goals of the product changed since you first started working on it?For a team who is onboarding onto Synq, what are the steps required to get it integrated into their technology stack and workflows?What are the types of incidents/errors that you are able to identify and alert on? What does a typical incident/error resolution process look like with Synq?What are the most interesting, innovative, or unexpected ways that you have seen Synq used?What are the most interesting, unexpected, or challenging lessons that you have learned while working on Synq?When is Synq the wrong choice?What do you have planned for the future of Synq?Contact Info LinkedInSubstackParting 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.Links SynqIncident ManagementSLA == Service Level AgreementData GovernancePodcast EpisodePagerDutyOpsGenieClickhousePodcast EpisodedbtPodcast EpisodeSQLMeshPodcast EpisodeThe intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

🤝Organizer: Intellishore

🏠Venue Host: Lederne - Vermlandsgade 65, 2300 København

Agenda & Speakers

17:30: Meet new people and catch up with old acquaintances over drinks and snacks

17:45: Event kick-off and Welcome (Hosted by Anders Boje Hertz, Head of AI & Data platforms at Intellishore & Marie-Christin Henkelmann, Senior Consultant at Intellishore)

18:00-20:00 - Speaker sessions Petr Janda, Co-Founder & CEO at the Synq - Building Reliable Data Platforms—With today's increasingly complex data systems\, detecting errors is challenging. Inspired by lessons from dozens of dbt & data warehouse deployments\, we will walk through how we've created a robust testing strategy to prevent issues in data platforms at Synq.

Mia Nørgaard Fugl, Senior Analytics Engineer at Pleo - How we decided to build a new dbt data modeling repository and why we didn't want to fix our old one. A story about rolling out dbt at a company at scale and the do's and don'ts we learned along the way.

Migration to dbt and Snowflake: Lessons learned and technical walkthrough by Henrik Varmer, Head of Data & Analytics at Lederne - We share valuable lessons from Lederne's experience migrating our data stack to Snowflake and dbt. You will get valuable insights from both the initial business and cost considerations prior to the migration\, as well as a technical walkthrough of a real example of migrating complex data and business logic in dbt.

20:00: 🍕 Food & socializing - Continue the conversation over food and drinks.

20:45: Over and out

To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://bit.ly/3QIJXFb

➡️ Join the dbt Slack community: https://www.getdbt.com/community/

🤝For the best Meetup experience, make sure to join the #local-denmark channel in dbt Slack (https://slack.getdbt.com/).

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dbt is a data transformation framework that lets analysts and engineers collaborate using their shared knowledge of SQL. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust.

Learn more: https://www.getdbt.com/