Hadoop

Hadoop news, information, and how-to advice

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App dev trends going hot -- and cold

21 hot programming trends—and 21 going cold

Hot or not? From the web to the motherboard to the training ground, get the scoop on what's in and what's out in app dev

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Why Google BigQuery excels at BI on big data concurrency

Should you use Hadoop for your big data business intelligence needs? BigQuery? What's the difference between on-premises Hadoop, in-cloud Hadoop and a serverless model like Google BigQuery's? A new benchmark from AtScale seeks to help...

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How Hadoop helps Experian crunch credit reports

Experian is quickly crunching massive amounts of data and making it available to customers thanks to the open source software as well as microservices and API technologies.

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Businesses eye cloud for big data deployments

Big data cloud deployments have surged over the past year and business intelligence is now the number 1 big data workload, according to a new survey of big data professionals.

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AtScale simplifies connecting BI tools to Hadoop

The startup, which specializes in creating OLAP-like virtual cubes on Hadoop, has added a Hybrid Query Service Service that allows its platform to natively support MDX and SQL queries.

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Big data gets runtime specification

The ODPi Runtime Specification and test suite is designed to help organizations write Hadoop-based applications once with the confidence that they will run on a variety of Hadoop distributions.

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SAP's HANA Vora bridges divide between enterprise and Hadoop data

The SAP HANA Vora software is designed to allow companies to analyze data stored in Hadoop, enterprise systems and other distributed data sources.

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Hortonworks and HP Labs join forces to boost Spark

Hortonworks is working with Hewlett Packard Labs to enhance the efficiency and scale of memory for the enterprise and to dramatically improve memory utilization.

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Hortonworks release cadence balances innovation with reliable Hadoop core

The Hadoop distribution vendor will update core Apache Hadoop components once a year, while continually updating services that run on top of Hadoop.

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How different SQL-on-Hadoop engines satisfy BI workloads

A new benchmark of SQL-on-Hadoop engines Impala, Spark and Hive finds they each have their own strengths and weaknesses when it comes to Business Intelligence (BI) workloads.

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