Meetup

Data engineering meetup

Join us for an engaging meetup on Databricks Notebooks in Production as well as an interactive data engineering discussion.

Date

July 22nd, 2025

18:30 – 21:30

Location

diconium GmbH Berlin Office
Skalitzer Straße 126
10999 Berlin

Drinks & Food

A few drinks and some
finger food are available
free of charge.

Databricks Notebooks in Production: Best Practices

Using notebooks is convenient when you write code for Databricks. However, it is a common opinion that they should not be used to run a production code. In my talk, I would like to argue that having notebooks in production may actually be the best decision compared to other deployment options, especially in terms of convenience, maintainability, and efficiency.

Aleksandr Kudriavtcev

Aleksandr Kudriavtcev

specialist cloud engineer at diconium

diconium logo
placeholder for author picture

Interactive data engineering discussion

After the keynote, it’s your turn: we’ll fire up a live Mentimeter to get your thoughts, opinions, and hot takes. Then we’ll look at the results together to discuss, agree, disagree (nicely!), or just raise an eyebrow. There’s no prep needed. Just bring your phone to scan the QR code, and you’re in. Quick, easy, and mildly addictive!

18:30

Event admission

18:50

Welcome & Introduction

19:00

Databricks Notebooks in Production: Best Practices

Aleksandr Kudriavtcev

19:30

5 Minutes Break

19:35

Interactive data engineering discussion

20:05

Snacks, Drinks & Networking

21:30

End

What to expect:

You want to give a talk at our meetup?

We are open to external speakers. So, if you’re interested in giving a short talk on a Data Engineering topic or have additional input on possible topics, feel free to reach out and leave us a message here:

Hosts

Peer Schwirtz

Peer Schwirtz

Director data architecture & data engineering

Prateek Narula

Prateek Narula

Director cloud engineering

Jens Wriske

Jens Wriske

Senior cloud architect

Get your free ticket now

Please join our meetup group to attend the event.

At the event, sound, image and video recordings are created and published for documentation purposes as well as for the presentation of the event in publicly accessible media, on websites and blogs and for presentation on social media. By participating the event, the participant implicitly consents to the aforementioned photo and/or video recordings. Find more information on data protection here.


Recap: data engineering meetup May 2025

Lessons from the Cloud: Building a Scalable, Decentralized Data Platform with Snowflake, dbt & S3

Business Intelligence in practice: Dagster & DBT


Recap: data engineering meetup March 2025

On March 13th 2025, we have been focussing on scaling analytics with dbt and simplifying Kubernetes job execution. Thanks to everyone who attended our event last Thursday as part of the audience and by connecting with us and like-minded people over a drink or a pretzel. We were impressed by the specific questions that came up during and after the talks!

Topics

Scaling Analytics with dbt: From Implementation to Impact – with Ceren Gündoğdu

Kube API: Simplifying Kubernetes Job Execution – with Ajit Gosavi


Recap: data engineering meetup December 2024

Thank you to everyone who joined us for our latest data engineering meetup! It was an incredible evening filled with insightful discussions, innovative ideas, and valuable networking.

A huge shoutout to our speakers, whose expertise and engaging presentation truly enlightened us on their real life use cases in the world of data engineering. We are so grateful for your contribution and the knowledge you shared with our community. We also want to extend our thanks to all the attendees who brought their energy, questions, and enthusiasm to the event. Your active participation is what makes our meetups so special.

Rewatch the presentations here:

Behnaz Derakhshani

The Day It All Went Down: A True Story of Challenges and Lessons from our Snowplow Pipeline Outage

Aditya Kadiwal, Reza Yazdani

Inside a real-world databricks Project: Setup, implementation, customer wins, and lessons learned


Host

This meetup is hosted by diconium.

LinkedIn

Please follow the applydata LinkedIn page.

data insights

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