Making Sense of the Wild World of Hadoop PART IV: Schema-on-Read
October 7, 2019 6:41 pmBy Michael Burke | October 7, 2019 What makes a ‘data lake’ a lake? You can throw as much stuff... View Article
By Michael Burke | October 7, 2019 What makes a ‘data lake’ a lake? You can throw as much stuff... View Article
By Michael Burke | September 30, 2019 In my last post, we talked about Hadoop’s secret sauce–clustering–that enables it to... View Article
By Michael Burke, Account Director In my last blog I introduced us to Hadoop, which allows companies to process, store... View Article
By Michael Burke, Account Director If you’re working in anything related to tech–and maybe even if you’re not–you’ve probably heard... View Article
In 2015, GSK embarked on a data strategy to address a challenge sharing data caused by data fragmentation and different... View Article
O’Reilly’s New York-based Strata+Hadoop World conference is one of the largest big data conferences in the world today, featuring hundreds... View Article
Join Waterline Data, The Smart Data Catalog Company, in booth #845 at Strata + Hadoop World next week for the... View Article
Waterline Data, The Smart Data Catalog Company, announced it was cited in Gartner’s June 2016 Comparing Four Hadoop Integration Architectures.... View Article
It has been more than five years since James Dixon of Pentaho coined the term “data lake.” His original post suggests, “If... View Article
Actian adds in-memory, parallel processing engine for graph analysis based on SPARQL. Can it compete with popular alternatives? Actian announced... View Article
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