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MapR Announces Initiative for Integration between Apache Drill and Apache Spark

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MapR Technologies, Inc., provider of a leading distribution for Apache™ Hadoop®, today announced an initiative to integrate Apache Drill, which provides instant, self-service data exploration across multiple data sources, with Apache Spark, the in-memory processing framework that provides speed, programming ease and real-time processing advantages.

Adopting Big Data for Finance

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This article is the fourth in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.

Apache Spark Beats the World Record for Fastest Processing of Big Data

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Databricks, the company founded by the creators of popular open-source Big Data processing engine Apache Spark, announced today that it has broken the world record for the GraySort, a third-party, industry benchmarking competition for sorting large on-disk datasets.

Cornerstone OnDemand to Acquire Evolv for $42.5 Million

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Cornerstone OnDemand (NASDAQ:CSOD), a global leader in cloud-based talent management solutions, announced that the company has entered into a definitive agreement to acquire privately-held Evolv Inc. With its leading machine learning and data science platform, the acquisition of Evolv will allow Cornerstone clients to leverage the power of big data analytics to make better workforce decisions.

Spark Panel Discussion with Cloudera, MapR & Pivotal

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The panel discussion video below comes from the Los Angeles Spark Users Group. The talk fosters a lively discussion on Spark’s initial goals, where it came from and what the future holds for Spark. Many leading Big Data vendors are responding by introducing Spark’s capabilities into their architectures. The panel discussion is between the top Hadoop distribution vendors – Cloudera, MapR, and Pivotal.

Sematext Announces Monitoring Support for Apache Spark

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Sematext Group, Inc., a Brooklyn­ based Performance Monitoring and Log Management solution provider, has announces the first dedicated monitoring support for Apache Spark in the latest release of its SPM performance monitoring solution.

Credit Scoring and Back Trading/Testing

Guide to Big Data Finance - Thumbnail

This article is the third in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.

Pepperdata Enables Opower to Rely on Hadoop for Real-time Big Data Analytics

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Pepperdata, a leader in Apache Hadoop performance optimization, has announced that Opower, a leader in cloud-based software for the utility industry, has deployed Pepperdata Supervisor, a real-time cluster optimizer, to ensure its production Hadoop environment can scale to hundreds of billions of data points reliably, efficiently and on time.

Red Hat Storage Server 3 Advances File Storage and Apache Hadoop Big Data Services

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Red Hat, Inc. (NYSE: RHT), a leading provider of open source solutions, has announced the availability of the newest major release of Red Hat Storage Server, a leading open software-defined storage solution for scale-out file storage. The advanced capabilities in Red Hat Storage 3 are well-suited for data-intensive enterprise workloads including big data, operational analytics […]

Solutionary Leverages Big Data Analytics to Speed Real-Time Threat Detection

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Solutionary, an NTT Group security company (NYSE: NTT) and the next-generation managed security services provider (MSSP), has announced that its Security Engineering Research Team (SERT) is combining its deep security expertise with big data analytics to expand global correlation, providing customers with a greater view of attack indicators and a true understanding of attackers’ goals and techniques.