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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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Walgreens CIO starts with the customer and works backward

Having already produced a successful mobile application, Walgreens CIO Abhi Dhar is implementing Hadoop to lower the cost of storing and processing the large amounts of data that app is generating.

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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.

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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.

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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.

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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.

Microsoft launches its big data service running on Linux

Welcome to Satya Nadella's Microsoft. Gone are the days when Microsoft treated Linux like a cancer.

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.

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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....

4 key trends to watch in smart manufacturing and supply chain

Industrial IoT and big data are converging to enable demand-driven 'smart supply chains.' The advancements in 3D printing and 'Additive Manufacturing,' coupled with supply chain efficiencies, could make distributed manufacturing a...

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Hortonworks looks to 'Internet of Anything' with acquisition

The open source Hadoop distribution vendor aims to bring together streaming analytics and rich historical analytics with the acquisition of the key contributor to the Apache NiFi project and the creation of Hortonworks DataFlow.

How data science can turn the vision of connected vehicles into reality

Data-science-driven predictive and prescriptive analytics can transform connected vehicles to improve safety and mobility, provide new 'infotainment' options, and result in a cleaner environment.

5 things CIOs need to know about data lakes

A data lake is a massive storage repository, such as Hadoop, that can hold all types of data until it is needed for business analytics or data mining. But it's not a panacea for big-data projects.

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