[ FreeCourseWeb.com ] Conceptualizing the Processing Model for Azure Databricks Service
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Video: .MP4, AVC, 1280x720, 30 fps | Audio: English, AAC, 44.1 KHz, 2 Ch | Duration: 2h 51m | 377 MB
Instructor: Mohit Batra
In this course, you will learn about the Spark based Azure Databricks platform. You will see how Spark Structured Streaming processing model works, and then use it to build end-to-end production ready streaming pipeline on Azure Databricks platform.
Modern data pipelines often include streaming data, that needs to be processed in real-time. While Apache Spark is very popular for big data processing and can help us build reliable streaming pipelines, managing the Spark environment is no cakewalk.
In this course, Conceptualizing the Processing Model for Azure Databricks Service, you will learn how to use Spark Structured Streaming on Databricks platform, which is running on Microsoft Azure, and leverage its features to build an end-to-end streaming pipeline quickly and reliably. And all this while learning about collaboration options and optimizations that it brings, but without worrying about the infrastructure management.
First, you will learn about the processing model of Spark Structured Streaming, about the Databricks platform and features, and how it is runs on Microsoft Azure.
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