Alteryx Announces New Read and Write Capabilities for Hadoop Data

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Alteryx, a leader in data blending and advanced analytics, today announced during its Inspire 2014 keynote that analysts will soon be able to read data directly from the Hadoop Distributed File System (HDFS), blend it with other sources, perform advanced analytics, and then write enriched data back to HDFS with Alteryx Analytics.

Data Science 101: Cool Hadoop Open Source Projects and How They Work

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For up-and-coming data scientists who need to get up to speed on Hadoop architectures, here is another in a long line of compelling Big Data & Brews episodes. In the video below we hear from three Hadoop luminaries about the Hadoop projects they’ve worked on – Erich Nachbar on Spark, Michael Stack on Hbase and Ari Zilka (from Hortonworks) on Stinger. Great insider’s perspective!

Ovum’s Tony Baer on SQL on Hadoop

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One of the attractions of the Hadoop Summit 2014 was the Big Data & Brews interview series – “Live from Hadoop Summit.” These short, well-focused discussions always provide good light into important industry trends. In the episode below, the conversation turns to the subject of SQL on Hadoop. Stefan Groschupf, the CEO of Datameer, recorded a special interview with Ovum analyst Tony Baer who gave his thoughts on the topic.

Why Do Hadoop Projects Fail?

I found an interesting discussion going on in the Global Big Data & Analytics group on LinkedIn – “Why do Hadoop projects fail?” Having just returned from the Hadoop Summit 2014 in San Jose, I witnessed plenty of use case examples Hadoop implementations that were wildly successful. I was therefore intrigued by the notion to itemize causes for failed projects.

Cloudera Strengthens Hadoop Security with Acquisition of Gazzang

Cloudera, a leader in enterprise analytic data management powered by Apache Hadoop™, has announced that it has acquired Gazzang, the big data security experts, to dramatically strengthen its security offerings, building on the roadmap laid out last year when Cloudera first delivered Sentry.

Dataguise Security Sandbox Joined with Hortonworks HDP 2.1 Sandbox

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Dataguise®, the leading provider of Big Data security and protective intelligence solutions, today announced at Hadoop Summit the immediate availability of the Dataguise DgSecurity™ data protection platform with the Hortonworks HDP 2.1 Sandbox.

Altiscale Hadoop-as-a-Service Delivers Apache Hive 0.13

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Altiscale, Inc., a leading innovator in Hadoop-as-a-Service (HaaS) solutions, has announced the availability of Apache Hive™ 0.13 on its HaaS platform, just weeks since its general software release to the industry. For data scientists and businesses that rely on insights derived from data, this is an enormous step forward, as Hive 0.13 can deliver significant performance gains over previous versions.

MetaScale Introduces “Ready-to-Go” Hadoop-based Analytics as a Service

MetaScale, the technology solutions provider subsidiary of Sears Holdings (NASDAQ: SHLD), has announced the immediate availability of “Ready-to-Go Reports,” a program that delivers the analytic benefits of Big Data and Hadoop to companies at a fraction of the cost, without the need for a dedicated Hadoop environment or costly data scientists.

Hortonworks Announces ‘YARN Ready’ Program to Accelerate Hadoop Adoption

Hortonworks, a leading contributor to and provider of enterprise Apache™ Hadoop®, today announced the launch of the YARN Ready Program as the latest addition to the Hortonworks Partner Certification Program. The program provides partners with the assurance that their YARN Ready tools and applications are fully compatible with the Hortonworks Data Platform.

Skytree Supports Big Data Analytics in Hadoop with Hortonworks Data Platform

Skytree®, the Machine Learning Company®, today announced that its predictive analytics software is now available on Apache Hadoop YARN to deliver agile analytics on Hadoop clusters. Skytree’s flagship product — Skytree Server® — is built to provide high-performance Machine Learning and takes advantage of the multi-workload capabilities enabled by YARN’s increased reliability, scalability and manageability.