From Hadoop to Spark - Webinar
Spark is an up-and-coming distributed computing platform in Big Data and it has a lot of momentum going for it. The venerable platform for Big Data is Apache Hadoop — deployed widely and scalable to Petabyte data sizes. So can the new-comer Spark be a viable replacement for Hadoop? Should you skip Hadoop and go to Spark?
In this talk, the presenter will walk you through a case study of moving from Hadoop to Spark. We will compare Hadoop and Spark side by side and highlight their strong points and disadvantages. And present a balanced assessment of which platform might be better for specific needs.
On demand recording
Meet our panelists
Mark Kerzner
Mark Kerzner is the Co-founder of Elephant Scale – a Big Data training and consulting company. He also is the co-author of an open source book “Hadoop Illuminated”, http://hadoopilluminated.com/, and “HBase Design Patterns”.
He is the author of “FreeEed”, an open source platform for eDiscovery based on Apache Hadoop. Mark knows about 10 languages, is a Mensa member, and writes “Talmud Illuminated” blog (http://mkerzner.blogspot.com).
