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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🔵 Why should you opt for an Azure data factory course ?
It allows organizations to create data-driven workflows in the cloud for orchestrating and automating data movement and for data transformation. By using leveraging Azure Data Factory, the casino can create and schedule pipelines, or data-driven workflows, that can ingest data from different data stores.