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Big Data Analytics, MapReduce for High Performance In-Database Analytics, Deep Data Mining – Aster Data Big Data Analytics, MapReduce for High Performance In-Database Analytics, Deep Data Mining – Aster Data Teradata Teradata Aster Teradata Applications Products
Karmasphere | Big Data Intelligence Software for Developers & Analysts Karmasphere | Big Data Intelligence Software for Developers & Analysts About Karmasphere: Karmasphere empowers the New Customer Analytics, providing deep insights on Big Data to optimize every customer touch point. Using personalized workspaces and self-service templates, analytics are rapidly assembled, customized and shared across business teams. With Karmasphere’s full-fidelity support for Hadoop, data is never abstracted or replicated, maintaining the richness, agility and low cost of ownership needed for innovation and competitive advantage in the era of Big Data.
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Amazon SimpleDB est un stockage de données non relationnel combinant flexibilité et haute disponibilité, et déchargeant le client des tâches d'administration de base de données. Les développeurs stockent et récupèrent simplement leurs éléments de données en effectuant des requêtes auprès des services Web, et Amazon SimpleDB fait le reste. Libéré des exigences strictes des bases de données relationnelles, Amazon SimpleDB est optimisé pour offrir une disponibilité et une flexibilité élevées, avec peu ou pas de tâches d'administration. En coulisses, Amazon SimpleDB crée et gère automatiquement plusieurs réplicas de vos données diffusés géographiquement pour permettre une haute disponibilité et une durabilité des données. SimpleDB SimpleDB

The Apache Cassandra Project

Cassandra Welcome to Apache Cassandra The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data. Cassandra's support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages. The Apache Cassandra Project
Apache™ Hadoop™! What Is Apache Hadoop? The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

Apache™ Hadoop™!

In a previous post, Junling discussed data mining and our need to process petabytes of data to gain insights from information. We use several tools and systems to help us with this task; the one I’ll discuss here is Apache Hadoop. Created by Doug Cutting in 2006 who named it after his son’s stuffed yellow elephant, and based on Google’s MapReduce paper in 2004, Hadoop is an open source framework for fault tolerant, scalable, distributed computing on commodity hardware. Hadoop – The Power of the Elephant — eBay Tech Blog Hadoop – The Power of the Elephant — eBay Tech Blog
in realtime workloads. You can find the . We describe why Hadoop and HBase fits the requirements of each of these applications. Before deciding on a particular software stack and whether or not to move away from our MySQL-based architecture, we looked at a few specific applications where existing solutions may be problematic. HDFS HDFS