Every data platform has its value, and deciding which one will work best for your big data objectives can be tricky—Alex Gorbachev, Oracle ACE Director, Cloudera Champion of Big Data, and Chief Technology Officer at Pythian, has recorded a series of videos comparing the various big data platforms and presents use cases to help you identify which ones will best suit your needs.
“Hadoop is generally deployed in a single data center, multi-RAC deployment, but they’re all reasonably geographically co-located with each other,” Alex explains. Cassandra on the other hand, “…is frequently deployed in a very distributed fashion… Somewhere in Asia, Europe, North America… So you end up with a very fault-tolerant environment.” Learn how the two platforms compare by watching Alex’s video Hadoop vs. Cassandra.
Note: You may recognize this series, which was originally filmed back in 2013. After receiving feedback from our viewers that the content was great, but the video and sound quality were poor, we listened and re-shot the series.
Find the rest of the series here.