摘要：在大数据平台的批量分析中，Spark引擎作为一种快速、可扩展且通用的大数据处理引擎，逐渐成为很多企业的首选，那么它为什么可以替代hive引擎，成为批处理的首选了？相比之下，Hive作为另一种常见的大数据处理工具，也在很多企业中得到广泛应用。

NEW YORK, NY--(Marketwired - Sep 30, 2015) - Today at Strata + Hadoop World, TIBCO Software Inc., a global leader in integration, analytics, and event processing, announced the availability of TIBCO ...

With an industry conference just concluded in New York, here's a roundup of this week's Big Data news, featuring new products and services from Cloudera, MapR, Hortonworks, Pentaho, Cask, Zoomdata, ...

The open source project .NET for Apache Spark has debuted in version 1.0, finally vaulting the C# and F# programming languages into Big Data first-class citizenship. Spearheaded by Microsoft and the ...

Apache Spark may have gained fame for being a better and faster processing engine than MapReduce running in Hadoop clusters. But the in-memory software is increasingly finding use outside of Hadoop, ...

DGIST developed a new graph-based database partitioning method and its system implementation showed 4.2 times faster performance on average than Apacke Spark SQL DGIST developed a core technology that ...