Tag: Hadoop
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From search to distributed computing to large-scale information extraction
Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. February 2016 marks the 10th anniversary of Hadoop — at a point in time when many IT…
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Big Data systems are making a difference in the fight against cancer
[A version of this post appears on the O’Reilly Data blog and Forbes.] As open source, big data tools enter the early stages of maturation, data engineers and data scientists will have many opportunities to use…
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Tightly integrated engines streamline Big Data analysis
[A version of this post appears on the O’Reilly Strata blog.] The choice of tools for data science includes1 factors like scalability, performance, and convenience. A while back I noted that data scientists tended to fall…
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Moving from Batch to Continuous Computing at Yahoo!
[A version of this post appeared on the O’Reilly Strata blog.] My favorite session at the recent Hadoop Summit was a keynote by Bruno Fernandez-Ruiz, Senior Fellow & VP Platforms at Yahoo! He gave a nice…
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Analytic engines that factor in security labels
[A version of this post appears on the O’Reilly Strata blog.] Originated by the NSA, Apache Accumulo is a BigTable inspired data store known for being highly scalable and for its interesting security model. Federal agencies…
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HBase looks more appealing to data scientists
[A version of this post appears on the O’Reilly Strata blog.] When Hadoop users need to develop apps that are “latency sensitive”, many of them turn to HBase1. Its tight integration with Hadoop makes it a…
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Tracking the progress of large-scale Query Engines
[A version of this post appears on the O’Reilly Strata blog.] As organizations continue to accumulate data, there has been renewed interest in interactive query engines that scale to terabytes (even petabytes) of data. Traditional MPP…
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No single DBMS will meet all your needs
Only a few years ago many companies that I encountered used MySQL (or Postgres) for everything! Folks got things to work, but had problems running simple queries against their big data sets. Shortly after that a…