Free Download Getting Started with Apache Spark on Databricks
Janani Ravi | Duration: 1:52 h | Video: H264 1280×720 | Audio: AAC 48 kHz 2ch | 227 MB | Language: English
This course will introduce you to analytical queries and big data processing using Apache Spark on Azure Databricks. You will learn how to work with Spark transformations, actions, visualizations, and functions using the Databricks Runtime.
Azure Databricks allows you to work with big data processing and queries using the Apache Spark unified analytics engine. With Azure Databricks you can set up your Apache Spark environment in minutes, autoscale your processing, and collaborate and share projects in an interactive workspace.
In this course, Getting Started with Apache Spark on Databricks, you will learn the components of the Apache Spark analytics engine which allows you to process batch as well as streaming data using a unified API. First, you will learn how the Spark architecture is configured for big data processing, you will then learn how the Databricks Runtime on Azure makes it very easy to work with Apache Spark on the Azure Cloud Platform and will explore the basic concepts and terminology for the technologies used in Azure Databricks.
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