Spark Internals and Architecture in Azure Databricks

Spark is an open source distributed computing engine. We use it for processing and analyzing a large amount of data. Likewise, hadoop mapreduce, it also works to distribute data across the cluster. It helps to process data in parallel. Spark uses master/slave architecture, one master node, and many slave worker nodes.

0:00 - Overview
0:34 - Introduction
1:27 - Architecture of Spark
357 - Run spark
5:58 - Spark session
6:59 - Run queries
11:05 - Evolution of spark
12:15 - Summary

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