Hive's SQL-like query language and vastly improved speed on huge data sets make it the perfect partner for an enterprise data warehouse Apache Hive is a tool built on top of Hadoop for analyzing large ...

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 ...

The underlying programming model for MapReduce has been revamped and has changed quite a bit. Chuck Lam, the author of Hadoop in Action Benefits that keep getting better include high levels of ...

Did you know that 90% of the world’s data has been created in the last two years alone? With such an overwhelming influx of information, businesses are constantly seeking efficient ways to manage and ...

Hadoop, which is marking its 10th anniversary this year, has expanded well beyond its early days as a platform for batch processing of large datasets on commodity hardware. And, although the name has ...

In a recent article, I wrote about how you could create a Hadoop cluster within the Amazon Web Services (AWS) cloud. After completing that article, it occurred to me that it might be useful for to ...

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 ...

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 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 ...

Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in popularity ...