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Hadoop is a popular open-source distributed storage and processing framework. This primer about the framework covers commercial solutions, Hadoop on the public cloud, and why it matters for business.

Apache Hadoop has been the driving force behind the growth of the big data industry. You'll hear it mentioned often, along with associated technologies such as Hive and Pig. But what does it do, and ...

When it comes to optimizing Hadoop performance, DevOps professionals and the administrators who manage distributed storage and processing systems might want to pull out a page or two from their high ...

The upcoming delivery of Apache Hadoop 3 later this year will bring big changes to how customers store and process data on clusters. Here at the annual Apache Big Data show in Miami, Florida, a pair ...

Ten years ago, on Jan. 28, 2006, Doug Cutting and Mike Cafarella split the distributed file system and MapReduce facility from their open source Web crawler project (Apache Nutch) and spun it off as a ...

Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...

Organizations today demand tools that provide familiar SQL-based access to data stored on HDFS. Today, MapR Technologies gave its customers yet another SQL interface when it announced support for ...

RainStor recently released RainStor Database 5.5 that is designed to both increase Big Data security and to simplify searching across massive databases. What RainStor has to say about this release ...

A new report released today by researchers at cloud-native security company Aqua Security Software Ltd. warns of a new attack targeting Apache Hadoop and Flink applications. The attack is described as ...