Co-Authors: Sumedh Sakdeo, Lei Sun, Sushant Raikar, Stanislav Pak, and Abhishek Nath Introduction At LinkedIn, we build and operate an open source data lakehouse deployment to power Analytics and Machine Learning workloads. Leveraging data to drive decisions allows us to serve our members with better job insights, and connect the world’s professionals with each...
Big Data Articles
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- Topics:
- infrastructure,
- Big Data,
- Data
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Co-authors: Chris Li, Kevin Lau, and Subbu Sanka Editor’s Note: Recently, the Apache Software Foundation (ASF) announced Apache® Gobblin™ as a Top-Level Project (TLP). For more information, visit https://gobblin.apache.org/ and https://twitter.com/ApacheGobblin. Introduction Our big data ecosystem is larger than 1 exabyte and growing, while ingesting and...
- Topics:
- Gobblin,
- Big Data,
- Open Source
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Over the last two years at LinkedIn, I’ve been working on a distributed key-value database called “Venice.” Venice is designed to be a significant improvement to Voldemort Read-Only for serving derived data. In late 2016, Venice started serving production traffic for batch use cases that were very similar to the existing uses of Voldemort Read-Only. In the time...
- Topics:
- Stream Processing,
- Big Data,
- Kafka,
- serving infrastructure
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Editor's note: This blog has been updated. Typical distributed data systems are clusters composed of a set of machines. If the dataset...
- Topics:
- Apache Helix,
- Big Data,
- Distributed Systems,
- Open Source
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What is the shape of your big data? While we do love to talk about the size of our big data—terabytes, petabytes, and beyond—perhaps...
- Topics:
- Big Data,
- machine learning,
- data science,
- Analytics
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This post is the second in a series discussing asynchronous processing and multithreading in Apache Samza. In the previous post, we...
- Topics:
- Apache Samza,
- Stream Processing,
- Big Data,
- Kafka