Blog posts about Gobblin

Co-authors: Chris Li, Kevin Lau, and Subbu Sanka Editor’s Note: Recently, the Apache Software Foundation (ASF) announ...

Co-authors: Zihan Li, Sudarshan Vasudevan, Lei Sun, and Shirshanka Das Data analytics and AI power many business-crit...

Co-authors: Khai Tran and Steve Weiss Batch and streaming computations are often combined together in the Lambda arch...

Co-authors: Krishnan Raman and Joey Salacup Editor's note: This blog has been updated. Monitoring big data pipelines ...

Gobblin is a distributed data integration framework that simplifies common aspects of big data integration, such as i...

About a year ago, we open sourced Gobblin, a universal data ingestion framework that aimed to solve data integration ...

We shared Gobblin with the open source community a year ago. Since then, we’ve seen increasing interest and adoption ...

Genesis Less than a year ago, we introduced Gobblin, a unified ingestion framework, to the world of Big Data. Since t...

When dealing with massive amounts of data at scale, it’s important to have state of the art infrastructure and algori...

Authors: Shirshanka Das, Lin Qiao The holiday season for gobbling is upon us; and at LinkedIn, we’ve been getting bet...