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The Big data field of the 2014, Apache Spark (hereinafter referred to as Spark) is undoubtedly the most attention. Spark, from the hand of the family of Berkeley Amplab, at present by the commercial company Databricks escort. Spark has become one of ASF's most active projects since March 2014, and has received extensive support in the industry-the spark 1.2 release in December 2014 contains more than 1000 contributor contributions from 172-bit TLP ...

This morning we launched another set of enhancements for Windows Azure. Today's new features include: Program scheduling: New Windows Azure Scheduler service storage: New synchronous read-write redundant storage scenario monitoring: Enhancements to monitoring and diagnostics for Windows Azure services All of these improvements are now available (note that some features are still in the preview). Here are more details about them: program scheduling: New Windows Azure Scheduler service I am pleased to announce our ...

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In today's technology world, big Data is a popular it buzzword. To mitigate the complexity of processing large amounts of data, Apache developed a reliable, scalable, distributed computing framework for hadoop--. Hadoop is especially good for large data processing tasks, and it can leverage its distributed file systems, reliably and cheaply, to replicate data blocks to nodes in the cluster, enabling data to be processed on the local machine. Anoop Kumar explains the techniques needed to handle large data using Hadoop in 10 ways. For from HD ...