Apache Spark Core - Practical Optimization —continues - Databricks

Apache Spark Core – Practical Optimization —continues

Properly shaping partitions and your jobs to enable powerful optimizations, eliminate skew and maximize cluster utilization. We will explore various Spark Partition shaping methods along with several optimization strategies including join optimizations, aggregate optimizations, salting and multi-dimensional parallelism.

 

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About Daniel Tomes

Databricks

Daniel Tomes leads the Resident Solutions Architect Practice at Databricks and is responsible for vertical integration, productization and strategic client growth. His big data journey began in 2014 at a major oil and gas company after which he moved to Cloudera for two years as a Solutions Architect and in 2017 join Databricks.