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Datahub: Open Source Data Lake with Pardhu Gunnam and Mars Lan

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Manage episode 287797638 series 1433319
Content provided by Open Source Archives - Software Engineering Daily. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Open Source Archives - Software Engineering Daily or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

As the volume and scope of data collected by an organization grow, tasks such as data discovery and data management grow in complexity. Simply put, the more data there is, the harder it is for users such as data analysts to find what they’re looking for. A metadata hub helps manage Big Data by providing metadata search and discovery tools, and a centralized hub which presents a holistic view of the data ecosystem. DataHub is Linkedin’s open-sourced metadata search and discovery tool. It is Linkedin’s second generation of metadata hubs after WhereHows.

Pardhu Gunnam and Mars Lan join us today from Metaphor, a company they co-founded to build out the DataHub ecosystem. Pardhu and Mars, and the other co-founders of Metaphor, were part of the team at Linkedin that built the DataHub project. They join the show today to talk about how DataHub democratizes data access for an organization, why the new DataHub architecture was critical to Linkedin’s growth, and what we can expect to see from the DataHub project moving forwards.

Sponsorship inquiries: [email protected]

The post Datahub: Open Source Data Lake with Pardhu Gunnam and Mars Lan appeared first on Software Engineering Daily.

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143 episodes

Artwork
iconShare
 
Manage episode 287797638 series 1433319
Content provided by Open Source Archives - Software Engineering Daily. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Open Source Archives - Software Engineering Daily or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

As the volume and scope of data collected by an organization grow, tasks such as data discovery and data management grow in complexity. Simply put, the more data there is, the harder it is for users such as data analysts to find what they’re looking for. A metadata hub helps manage Big Data by providing metadata search and discovery tools, and a centralized hub which presents a holistic view of the data ecosystem. DataHub is Linkedin’s open-sourced metadata search and discovery tool. It is Linkedin’s second generation of metadata hubs after WhereHows.

Pardhu Gunnam and Mars Lan join us today from Metaphor, a company they co-founded to build out the DataHub ecosystem. Pardhu and Mars, and the other co-founders of Metaphor, were part of the team at Linkedin that built the DataHub project. They join the show today to talk about how DataHub democratizes data access for an organization, why the new DataHub architecture was critical to Linkedin’s growth, and what we can expect to see from the DataHub project moving forwards.

Sponsorship inquiries: [email protected]

The post Datahub: Open Source Data Lake with Pardhu Gunnam and Mars Lan appeared first on Software Engineering Daily.

  continue reading

143 episodes

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