talk · community record
On the path to data Nirvana: Supporting...
With increased competition, companies need to make faster decisions based on real-time data. This requires databases that can deliver good performance for OLTP and OLAP workloads in a single database. This talk will discuss an innovative database architecture that uses both HBase and Spark engines to support simultaneous OLTP and OLAP workloads. In this talk, you will: - Discover which uses cases require simultaneous OLTP and OLAP workloads - Learn how the optimizer automatically routes OLTP queries to HBase/Hadoop, and OLAP queries to Spark - Learn how the optimizer uses advanced resource management to ensure that OLAP queries do not overwhelm OLTP queries
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