While there is a lot of interest in the Apache Hadoop framework because of its promise to cost effectively work with massive amounts of data, there’s also a lot of frustration with the overall ...

Hadoop is a leading solution for nonrelational data storage and processing. It is based on the key Google technologies for storing and processing huge data sets distributed across large clusters of ...

Uniting the seemingly conflicting values of fast data access and deep analysis, open-source software company DataStax is developing a package that will combine its Cassandra non-relational database ...

This paper provides a high-level overview of how Apache Cassandra™ can be used to replace HDFS, with no programming changes required from a developer perspective, and how a number of compelling ...

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 ...

Apache Spark is the tech du jour in Big Data right now. Its ability to provide speedy performance against huge volumes of data has made such a splash that some people are even beginning to question ...

The past couple years have seen a number of 10-year milestones being passed, like the decade anniversaries of Amazon Web Services, MongoDB, Hadoop and many others. And so in 2018, it's Apache ...