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Big Data Tools and Pipelines

Ideas and resources related to data tools.

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“Managed data lake” is not a contradiction in terms

By Ben Sharma | December 14, 2015

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Analytics without actions – why bother?

By Akmal Chaudhri | December 10, 2015

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Data modeling constructs and terminology

By Michael Blaha | December 8, 2015

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What happens when everyone can connect the dots

By Timothy McGovern | December 3, 2015

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Analyzing the world’s news: Exploring the GDELT Project through Google BigQuery

By Kalev Leetaru, Felipe Hoffa | November 24, 2015

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Ask your data new questions

By Shannon Cutt, Ben Lorica | November 3, 2015

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Accelerating big data analytics workloads with Tachyon

By Shaoshan Liu | November 2, 2015

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Architecting Hadoop Applications

By Mark Grover, Gwen Shapira, Jonathan Seidman, Ted Malaska | October 27, 2015

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Get started with cloud-based data science

By Stephen Elston | October 21, 2015

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New York Startup Showcase reveals what’s needed in the data industry

By Alistair Croll | October 20, 2015

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A/B Testing: a checklist

By Lisa Qian | October 18, 2015

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Understanding YARN’s architecture and daemons

By David Yahalom | October 14, 2015

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Kudu: Resolving transactional and analytic trade-offs in Hadoop

By Todd Lipcon | September 29, 2015

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Mapping big data

By Russell Jurney | September 27, 2015

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Showcasing the real-time processing revival

By Ben Lorica | August 31, 2015

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Apache Spark 1.3 and Spark’s New Dataframe API

By Patrick Wendell | May 14, 2015