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, 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.
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, 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, 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®, 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.
MapR Technologies, Inc., provider of a leading distribution for Apache Hadoop, today launched at Hadoop Summit the industry’s first Hadoop application gallery. Launching with solutions from a wide range of Hadoop ecosystem partners, the MapR App Gallery is designed to help customers derive greater business value from big data as they scale-out their enterprise data architectures.
In the video presentation below from the SpringOne 2GX 2012 conference in Washington, DC, Costin Leau looks at the architecture of Big Data pipelines, the challenges ahead and how to build manageable and robust solutions using Open Source software such as Apache Hadoop, Hive, Pig, Spring for Apache Hadoop, Batch and Integration.