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.
“We give Hadoop the predictability it needs, let organizations see what it’s doing (with detailed usage metrics for every user, job, and task, in real time), and help organizations get the most out of their hardware investment. We are not for the organizations that have just entered into their first Hadoop project (because they don’t rely on it… yet). We are here for those who already rely on the business-critical data and functionality Hadoop can deliver.”
Teradata (NYSE: TDC), the analytic data platforms, marketing applications, and services company, today introduced Teradata Portfolio for
Hadoop 2 to reduce the risk, cost, and complexity of Hadoop deployment and management. The comprehensive portfolio helps organizations address the technical and business challenges of leveraging diverse data stored in Apache™ Hadoop®.
Hortonworks and Yahoo! are pleased to host the 7th Annual Hadoop Summit, the leading conference for the Apache Hadoop community. This event, expanded now to three days, June 3-5, will feature many of the Apache Hadoop thought leaders who will showcase successful Hadoop use cases, share development and administration tips and tricks, and educate organizations about how best to leverage Apache Hadoop as a key component in their enterprise data architecture.