Both HBase and Cassandra can deal with large data sets, and provide high transaction rates and low latency lookups. Both allow map-reduce processing to be run against the database when aggregation or ...

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 ...

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 ...

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 ...

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 ...

With so many NoSQL choices, how do you decide on one? Here’s a handy guide for narrowing your choice to three Hadoop gets much of the big data credit, but the reality is that NoSQL databases are far ...

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 ...

What: MapR Chief Marketing Officer Jack Norris will present a session titled, “Hadoop: Revolutionizing Analytics and Operations.” The session will look at the ways customers are using Hadoop today ...

Hadoop isn’t living up to its hype -- which means that both Hadoop vendors and their customers need to widen their array of big data technologies Hadoop makes all the big data noise. Too bad it’s not ...