Gobblin Articles

  • lag-alert-graphs

    An inside look at LinkedIn’s data pipeline monitoring system

    October 30, 2019

    Co-authors: Krishnan Raman and Joey Salacup   Monitoring big data pipelines often equates to waiting for a long-running batch job to complete and observing the status of the execution. The status can result in “Failed” or “Successful” or even “Incomplete.” From there, it’s the team’s job to understand the impact and troubleshoot the situation to identify a...

  • gobblinlogo1

    Gobblin Enters Apache Incubation

    January 17, 2018

    Gobblin is a distributed data integration framework that simplifies common aspects of big data integration, such as ingestion, replication, organization, and lifecycle management, for both streaming and batch ecosystems. Gobblin has been gobbling big data with ease in the open source world since December 2014. Over the years, Gobblin has evolved at a tremendous...

  • Announcing Gobblin 0.7.0: Going Beyond Ingestion

    June 29, 2016

    About a year ago, we open sourced Gobblin, a universal data ingestion framework that aimed to solve data integration challenges faced by people working on big data problems. We have described how LinkedIn is using Gobblin to ingest data at massive scale from a variety of sources to HDFS, in many previous blog posts, publications, and talks. Today, we are very...

  • Gobblin Gobbles Camus, Looks Towards the Future

    April 13, 2016

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

  • Bridging Batch and Streaming Data Ingestion with Gobblin

    September 28, 2015

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

  • Data Analytics Ecosystem Talk at Hadoop Summit

    June 9, 2015

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