Big Data Articles

  • calcite1

    Bridging Offline and Nearline Computations with Apache Calcite

    January 29, 2019

    The existing Lambda architecture With the evolution of big data technologies over time, two classes of computations have been developed for processing large-scale datasets: batch and streaming. Batch computation was developed for processing historical data, and batch engines, like Apache Hadoop or Apache Spark, are often designed to provide correct and complete,...

  • behind-big-data-and-ai-1

    Behind "Big Data" and "AI": Elements of Modern Data Science

    April 5, 2018

    I’m sure everyone who has been following tech industry news knows about “big data” and “AI.” Although there is no industry-consistent definition for either term, most people tend to agree that both have been playing more and more important roles lately, and that we need to know and leverage them better in both our personal and professional lives. But wouldn’t it...

  • 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...

  • venice1

    Venice Hybrid: Doing Lambda Better

    December 20, 2017

    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...

  • helixupdate2

    Powering Helix’s Auto Rebalancer with Topology-Aware...

    July 26, 2017

    Typical distributed data systems are clusters composed of a set of machines. If the dataset does not fit on a single machine, we...

  • explodingdata1

    Managing "Exploding" Big Data

    June 15, 2017

    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...