Hadoop news, information, and how-to advice

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data integration

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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Apache Hadoop turns 10

On the 10-year-anniversary of the birth of the Apache Hadoop project, co-creator Doug Cutting reflects on Hadoop's beginnings and where its future.

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Tableau partners for BI on Hadoop

Startup AtScale will help Tableau accelerate BI on Hadoop with improvements to performance and enterprise-grade security without the need to move, transform or sample data.

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MapR brings down data silos with converged data platform

The Hadoop distribution specialist has announced MapR Streams, which will combine with its Hadoop distribution and NoSQL database to integrate file, database, stream processing and analytics to support new data-driven applications.

uniting databases

New Splice Machine RDBMS unites OLTP and OLAP

The 2.0 version of Splice Machine's relational database brings together the scalability of Hadoop and the in-memory performance of Spark.

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Concurrent improves big data application performance management

The data application infrastructure specialist has released Driven 2.0, which adds support for Apache Spark and redesigned application analytics as well as custom views to the big data application performance management solution.

Microsoft Cloud

Who cares about Hadoop on Linux? Microsoft (yes, really)

By offering big data services in its Azure cloud on Linux, Microsoft is sending several important messages to customers.

business intelligence

AtScale looks to easily add BI on Hadoop

AtScale has released AtScale Intelligence Platform 3.0, which aimes to give business users the capability to interactively query Hadoop data without the need for extensive preprocessing or movement off the cluster.

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Teradata gears up for Internet of Things analytics

Teradata has introduced two new software capabilities intended to help customers operationalize Internet of Things (IoT) data.

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Hortonworks unveils big data scorecard

The new Hortonworks Big Data Scorecard is designed to help organizations assess their capabilities and build a plan to jump start big data projects.

storage database

MapR adds in-Hadoop document database

MapR Technologies has added native JSON support to its MapR-DB NoSQL database, giving developers the capability to quickly deliver scalable applications that leverage continuous analytics on real-time data.

Hadoop elephant code

Cloudera unveils in-memory store, security layer for Hadoop

The Hadoop distribution specialist today announced a new open source project designed to enable real-time analytic applications in Hadoop as well as a new open source security layer for fine-grained unified access control enforcement....

Hadoop eats data analytics

Hadoop is slowly eating conventional analytics

The components of the Hadoop ecosystem won't overthrow Teredata or IBM Netezza any time soon, but ultimately, the commodity solution almost always wins.

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Hadoop, in trouble? Only in Gartner-land

A new poll of customers provides a brighter, more detailed picture of Hadoop adoption than Gartner's famously downbeat survey.

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Bossie Awards 2015: The best open source big data tools

InfoWorld's top picks in distributed data processing, streaming analytics, machine learning, and other corners of large-scale data analytics

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