Data Engineering Podcast


This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.

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30 October 2023

Surveying The Market Of Database Products - E398

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Summary

Databases are the core of most applications, whether transactional or analytical. In recent years the selection of database products has exploded, making the critical decision of which engine(s) to use even more difficult. In this episode Tanya Bragin shares her experiences as a product manager for two major vendors and the lessons that she has learned about how teams should approach the process of tool selection.

Announcements

  • Hello and welcome to the Data Engineering Podcast, the show about modern data management
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  • This episode is brought to you by Datafold – a testing automation platform for data engineers that finds data quality issues before the code and data are deployed to production. Datafold leverages data-diffing to compare production and development environments and column-level lineage to show you the exact impact of every code change on data, metrics, and BI tools, keeping your team productive and stakeholders happy. Datafold integrates with dbt, the modern data stack, and seamlessly plugs in your data CI for team-wide and automated testing. If you are migrating to a modern data stack, Datafold can also help you automate data and code validation to speed up the migration. Learn more about Datafold by visiting dataengineeringpodcast.com/datafold
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  • Your host is Tobias Macey and today I'm interviewing Tanya Bragin about her views on the database products market

Interview

  • Introduction
  • How did you get involved in the area of data management?
  • What are the aspects of the database market that keep you interested as a VP of product?
    • How have your experiences at Elastic informed your current work at Clickhouse?
  • What are the main product categories for databases today?
    • What are the industry trends that have the most impact on the development and growth of different product categories?
    • Which categories do you see growing the fastest?
  • When a team is selecting a database technology for a given task, what are the types of questions that they should be asking?
  • Transactional engines like Postgres, SQL Server, Oracle, etc. were long used as analytical databases as well. What is driving the broad adoption of columnar stores as a separate environment from transactional systems?
    • What are the inefficiencies/complexities that this introduces?
    • How can the database engine used for analytical systems work more closely with the transactional systems?
  • When building analytical systems there are numerous moving parts with intricate dependencies. What is the role of the database in simplifying observability of these applications?
  • What are the most interesting, innovative, or unexpected ways that you have seen Clickhouse used?
  • What are the most interesting, unexpected, or challenging lessons that you have learned while working on database products?
  • What are your prodictions for the future of the database market?

Contact Info

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 hosts@dataengineeringpodcast.com) 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

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

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