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。

Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

On and off, over the years, I have followed and written about the SQL-on-Hadoop saga. The adventure started with Apache Hive, which originally provided a SQL layer on top of MapReduce, bringing new ...

Redis Labs Inc. today announced the integration of its namesake NoSQL database with Spark SQL, along with a new Spark-Redis connector said to speed up certain Big Data analytics tasks by 100 times or ...

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, ...

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 ...