Gradient Flow

Tag: real time analytics

  • Data is only as valuable as the decisions it enables

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ion Stoica on building intelligent and secure applications on live data. Subscribe to the O’Reilly Data Show Podcast to explore the…

  • Structured streaming comes to Apache Spark 2.0

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Michael Armbrust on enabling users to perform streaming analytics, without having to reason about streaming. Subscribe to the O’Reilly Data Show…

  • Semi-supervised, unsupervised, and adaptive algorithms for large-scale time series

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ira Cohen on developing machine learning tools for a broad range of real-time applications. Subscribe to the O’Reilly Data Show Podcast…

  • Celebrating the real-time processing revival

    [A version of this article appears on the O’Reilly Radar.] Register for Strata + Hadoop World NYC, which will take place September 29 to Oct 1, 2015. A few months ago, I noted the resurgence in…

  • Building big data systems in academia and industry

    [A version of this post appears on the O’Reilly Radar blog.] The O’Reilly Data Show Podcast: Mikio Braun on stream processing, academic research, and training. Mikio Braun is a machine learning researcher who also enjoys software…

  • Building Apache Kafka from scratch

    [A version of this post originally appeared on the O’Reilly Radar blog.] In this episode of the O’Reilly Data Show Podcast, Jay Kreps talks about data integration, event data, and the Internet of Things. At the…

  • Expanding options for mining streaming data

    [A version of this post appears on the O’Reilly Data blog.] Stream processing was in the minds of a few people that I ran into over the past week. A combination of new systems, deployment tools,…

  • Stream Mining essentials

    [A version of this post appears on the O’Reilly Strata blog.] A series of open source, distributed stream processing frameworks have become essential components in many big data technology stacks. Apache Storm remains the most popular,…

  • Stream Processing and Mining just got more interesting

    [A version of this post appears on the O’Reilly Strata blog.] Largely unknown outside data engineering circles, Apache Kafka is one of the more popular open source, distributed computing projects. Many data engineers I speak with…

  • Big Data and Advertising: In the trenches

    [A version of this post appears on the O’Reilly Strata blog.] The $35B merger of Omnicom and Publicis put the convergence of Big Data and Advertising1 in the front pages of business publications. Adtech2 companies have…