Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At Acryl Data

Описание: Summary



The binding element of all data work is the metadata graph that is generated by all of the workflows that produce the assets used by teams across the organization. The DataHub project was created as a way to bring order to the scale of LinkedIn’s data needs. It was also designed to be able to work for small scale systems that are just starting to develop in complexity. In order to support the project and make it even easier to use for organizations of every size Shirshanka Das and Swaroop Jagadish founded Acryl Data. In this episode they discuss the recent work that has been done by the community, how their work is building on top of that foundation, and how you can get started with DataHub for your own work to manage data discovery today. They also share their ambitions for the near future of adding data observability and data quality management features.

Announcements




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• Your host is Tobias Macey and today I’m interviewing Shirshanka Das and Swaroop Jagadish about Acryl Data, the company driving the open source metadata project DataHub for powering data discovery, data observability and federated data governance.


Interview




• Introduction


• How did you get involved in the area of data management?


• Can you describe what Acryl Data is and the story behind it?


• How has your experience of building and running DataHub at LinkedIn informed your product direction for Acryl?



• What are some lessons that your co-founder Swaroop has contributed from his experience at AirBnB?





• The data catalog/discovery/quality market has become very active over the past year. What is your perspective on the market, and what are the gaps that are not yet being addressed?



• How does the focus of Acryl compare to what the team at Metaphor are building?





• How has the DataHub project changed in the past year with more companies outside of LinkedIn using and contributing to it?


• What are your plans for Data Observability?


• Can you describe the system architecture that you have built at Acryl?


• What are the convenience features that you are building t...