Let The Whole Team Participate In Data With The Quilt Versioned Data Hub

Data Engineering Podcast

Tobias Macey에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Tobias Macey 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

2+ y ago 52:02

MP3•에피소드 홈

Summary

Data is a team sport, but it's often difficult for everyone on the team to participate. For a long time the mantra of data tools has been "by developers, for developers", which automatically excludes a large portion of the business members who play a crucial role in the success of any data project. Quilt Data was created as an answer to make it easier for everyone to contribute to the data being used by an organization and collaborate on its application. In this episode Aneesh Karve shares the journey that Quilt has taken to provide an approachable interface for working with versioned data in S3 that empowers everyone to collaborate.

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 Aneesh Karve about how Quilt Data helps you bring order to your chaotic data in S3 with transactional versioning and data discovery built in

Interview

Introduction
How did you get involved in the area of data management?
Can you describe what Quilt is and the story behind it?
- How have the goals and features of the Quilt platform changed since I spoke with Kevin in June of 2018?
What are the main problems that users are trying to solve when they find Quilt?
- What are some of the alternative approaches/products that they are coming from?
How does Quilt compare with options such as LakeFS, Unstruk, Pachyderm, etc.?
Can you describe how Quilt is implemented?
What are the types of tools and systems that Quilt gets integrated with?
- How do you manage the tension between supporting the lowest common denominator, while providing options for more advanced capabilities?
What is a typical workflow for a team that is using Quilt to manage their data?
What are the most interesting, innovative, or unexpected ways that you have seen Quilt used?
What are the most interesting, unexpected, or challenging lessons that you have learned while working on Quilt?
When is Quilt the wrong choice?
What do you have planned for the future of Quilt?

Contact Info

LinkedIn
@akarve 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.
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Links

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