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How Spark's lazy evaluation model leads to speed

Learn how the Spark DataFrame execution plan works and why its lazy evaluation model helps the processing engine to avoid the performance issues inherent in Hadoop MapReduce.

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Develop smart AI in CRM strategies to win and keep customers

Of the three words that comprise customer relationship management, one word binds the other two. As necessity and competition dictate that CRM upgrade itself with artificial intelligence and flights to the cloud, what counts most in ...

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Starburst looks toward SQL-on-anything

Relational databases may have hit a wall of late, but the SQL query engine seems poised for wider growth. Starburst, a retro startup of sorts, is among those looking to take it wider still.

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Ready or not, GDPR is here

Hello, GDPR. May 25 is the witching hour for enforcement of the EU's much-discussed GDPR compliance requirements -- and it's a harbinger of more changes to come.

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    Cloud payments path set by new data lake, user feedback

    To create a cloud payment processing system, Global Payments first had to deploy a data lake in the Google Cloud. Getting quick user feedback was another early step.

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    Develop smart AI in CRM strategies to win and keep customers

    Of the three words that comprise customer relationship management, one word binds the other two. As necessity and competition dictate that CRM upgrade itself with artificial intelligence and flights to the cloud, what counts most in ...

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    data quality

    Data quality is a perception or an assessment of data's fitness to serve its purpose in a given context.

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  • Hadoop framework

    Stream processing meets GDPR

    StreamSets software for inspecting big data brings governance to data in motion. Such capabilities may find more use as the European Union's GDPR deadline looms.

  • Database management system (DBMS) software and technology

    MongoDB 4.0 expands ACID support for documents

    MongoDB is taking a deeper step into SQL-style processing waters with a 4.0 update that brings increased support for ACID-compliant transactions to its NoSQL database.

  • Hadoop framework

    Hadoop 3.0 deepens potential cloud, machine learning reach

    Is this the post-Hadoop era? Not in the eyes of Hadoop 3.0 backers, who see the latest update to the big data framework succeeding in machine learning applications and cloud systems.

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