Co-authors: Mimi Chen, Calvin Lei, and Amit Yadav Background LinkedIn’s mission is to connect the world’s professionals to make them more productive and successful. One way we advance this mission is by partnering with other organizations to deliver world class integrations. We are developing a platform-as-a-service (PaaS) that provides exploratory access,...
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- Topics:
- Data,
- Open Source
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Currently, LinkedIn infrastructure is composed of hundreds of thousands of hosts across multiple data centers. Observability into our infrastructure makes it possible for us to focus on the health and performance of our critical services to provide the best experience to our members. With LinkedIn's large infrastructure growth over the past few years,...
- Topics:
- data center,
- Performance
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Co-authors: David Lu, Hong Liu, Thomas Kwan, Christopher Harris, Weiping Si Many companies, including LinkedIn, have experienced exponential data growth ever since the Apache Hadoop adoption a decade ago. With a proliferation of self-service data authoring tools and publishing platforms, different teams have created and shared datasets to address business needs...
- Topics:
- Data
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We are proud to announce the open sourcing of Venice, LinkedIn’s derived data platform that powers more than 1800 of our datasets and...
- Topics:
- Venice,
- Platform,
- Data,
- Open Source
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The LinkedIn infrastructure has thousands of services serving millions of queries per second. At this scale, having tools that provide...
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Co-authors: Hangfei Lin, Jinghui Mo We’re excited to announce today that Feathr is joining LF AI & Data, the Linux Foundation’s...