Architecting HBase in the field
Most already know HBase, but many don't know that it can be coupled with other tools from the ecosystem to increase efficiency. Jean-Marc Spaggiari and Kevin O'Dell walk attendees through some real-life HBase use cases and demonstrate how they have been efficiently implemented.
Talk Title | Architecting HBase in the field |
Speakers | Jean-Marc Spaggiari (Cloudera), Kevin O’Dell (Rocana) |
Conference | Strata + Hadoop World |
Conf Tag | Big Data Expo |
Location | San Jose, California |
Date | March 29-31, 2016 |
URL | Talk Page |
Slides | Talk Slides |
Video | |
Most already know HBase, but many don’t know that it can be coupled with other tools from the ecosystem to increase efficiency. Jean-Marc Spaggiari and Kevin O’Dell walk attendees through some real-life HBase use cases and demonstrate how they have been efficiently implemented. Apache HBase is the Hadoop database—a distributed, scalable big data store. Because it’s known for being very stable and robust, developers choose HBase when they need very low-latency, random, and real-time read/write access to data. HBase can also be used in conjunction with other technologies like Spark, Flume, and Solr, covering a broad range of use-cases. Drawing from their experience assisting big companies with all aspects of architecting and building HBase applications, Jean-Marc and Kevin detail HBase project-implementation details. From business requirements to the applications used to solve them, Jean-Marc and Kevin explain how the tools of today’s big data ecosystem can be used together to solve today’s challenges.