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Data

Our take on the ideas, information, and tools that make data work.

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Data engineering: A quick and simple definition

By James Furbush | July 16, 2018

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Humans and the machine: Machine learning in context

By Jean-François Puget | May 23, 2018

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What separates the clouds?

By William Vambenepe | March 8, 2018

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The case for a deliberate data strategy in today’s attention-deficit economy

By Anoop Dawar | March 8, 2018

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Operationalizing machine learning

By Dinesh Nirmal | March 7, 2018

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To a hammer, everything is a nail: Choosing the right tool for your business problems

By Tobias Ternstrom | March 7, 2018

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Working with data in the financial industry: Legal considerations

By Alysa Z. Hutnik | February 14, 2018

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Modern data is continuous, diverse, and ever accelerating

By Andy Oram | February 14, 2018

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Iterative data modeling to avoid dreaded ETL

By Trinh Lieu | February 13, 2018

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Re-thinking marketing: Generating attention you can turn into profitable demand

By Alistair Croll | February 7, 2018

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Different continents, different data science

By Alistair Croll | February 1, 2018

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“Data as a feature” is coming. Are product managers ready?

By Alice LaPlante | January 31, 2018

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Enterprise data integration with an operational data hub

By Gerhard Ungerer | January 25, 2018

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Apache Beam lowers barriers to entry for big data processing technologies

By Andy Oram | January 25, 2018

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Fishing for graphs in a Hadoop data lake

By Max Neunhöffer | January 23, 2018

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Put machine learning to work in the real world

By Ben Lorica | January 17, 2018