SQL on Hadoop

The evolution of SQL processing in the Hadoop ecosystem is explored, highlighting the transition from Mapreduce to more efficient SQL engines like Impala. Adar discusses the limitations of existing systems, such as HDFS and HBase, and introduces Kudu as a solution that addresses these challenges, aiming for low latency and high throughput in data analytics.