Designing Data Transfer Systems That Scale

Data Engineering Podcast

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11M ago 1:03:57

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Summary

The first step of data pipelines is to move the data to a place where you can process and prepare it for its eventual purpose. Data transfer systems are a critical component of data enablement, and building them to support large volumes of information is a complex endeavor. Andrei Tserakhau has dedicated his careeer to this problem, and in this episode he shares the lessons that he has learned and the work he is doing on his most recent data transfer system at DoubleCloud.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management
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Your host is Tobias Macey and today I'm interviewing Andrei Tserakhau about operationalizing high bandwidth and low-latency change-data capture

Interview

Introduction
How did you get involved in the area of data management?
Your most recent project involves operationalizing a generalized data transfer service. What was the original problem that you were trying to solve?
- What were the shortcomings of other options in the ecosystem that led you to building a new system?
What was the design of your initial solution to the problem?
- What are the sharp edges that you had to deal with to operate and use that initial implementation?
What were the limitations of the system as you started to scale it?
Can you describe the current architecture of your data transfer platform?
- What are the capabilities and constraints that you are optimizing for?
As you move beyond the initial use case that started you down this path, what are the complexities involved in generalizing to add new functionality or integrate with additional platforms?
What are the most interesting, innovative, or unexpected ways that you have seen your data transfer service used?
What are the most interesting, unexpected, or challenging lessons that you have learned while working on the data transfer system?
When is DoubleCloud Data Transfer the wrong choice?
What do you have planned for the future of DoubleCloud Data Transfer?

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.
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Links

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

Speaker - Andrei Tserakhau, DoubleCloud Tech Lead. He has over 10 years of IT engineering experience and for the last 4 years was working on distributed systems with a focus on data delivery systems.