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This month, we focus on Really Big Data with a peek at a Hadoop-based project that matches connections in social media by leveraging the highly scalable lambda architecture, a discussion on how focusing on the details is the most important part of a successful Big Data project, an overview of Storm, and much more!

Table of Contents:


  • Understanding What Big Data Can Deliver
    By Aaron Kimball
  • It's easy to err by pushing data to fit a projected model. Insights come, however, from accepting the data's ability to depict what is going on, without imposing an a priori bias.

  • Do All Roads Lead Back to SQL?
    By Seth Proctor
  • After distancing themselves from SQL, NoSQL products are moving towards transactional models as "NewSQL" gains popularity. What happened?

  • Applying the Big Data Lambda Architecture
    By Michael Hausenblas
  • A look inside a Hadoop-based project that matches connections in social media by leveraging the highly scalable lambda architecture.

  • From the Vault: Easy Real-Time Big Data Analysis Using Storm
    By Shruthi Kumar and Siddharth Patankar
  • If you're looking to handle big data and don't want to traverse the Hadoop universe, you might well find that using Storm is a simple and elegant solution.

  • News Briefs
    By Adrian Bridgwater
  • Recent news on tools, platforms, frameworks, and the state of the software development world.

  • Open-Source Dashboard
    A compilation of trending open-source projects.

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