Spark has been growing in deployments for the past year. The increasing amount of data being analyzed and processed through the framework is massive and continues to push the boundaries of the engine. Drawing on his experiences across 150+ production deployments, Neelesh Srinivas Salian explores common issues observed in a cluster environment setup with Apache Spark across five main areas:
Attendees can use Neelesh’s observations to improve the usability and supportability of their Apache Spark deployments and avoid such issues in the future.
Neelesh Srinivas Salian is a software engineer on the data platform team at Stitch Fix, where he works on the compute infrastructure used by the company’s data scientists. Previously, he worked at Cloudera, where he worked with Apache projects like YARN, Spark, and Kafka. Neelesh holds a master’s degree in computer science with a focus on cloud computing from North Carolina State University and a bachelor’s degree in computer engineering from the University of Mumbai, India.
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