Organizations need to gain deeper insights to drive their future business success and stay competitive in a faster-paced market. Insights which can only be produced from analysis of large, diverse datasets, driving a need for extreme speed and scale.
Cloudera Data Warehouse is an enterprise solution for modern analytics on an exponentially growing volume of data. It provides multiple SQL engines that are best suited for different analytics use cases:
Hive on Tez for huge & long-running batch jobs
Impala & Hive LLAP for interactive queries for datasets up to petabyte-scale
Spark SQL for in-memory self-service data exploration
JOIN THIS WEBINAR TO LEARN:
The architecture & best practices for SQL engine configuration
The capabilities of multiple SQL engines
How to identify the right SQL engine for the right workload
Ways to optimize the performance of SQL engines
Real-world SQL example use cases & related SQL engines
