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Getting Started with Databricks SQL

This course introduces you to the concepts, architecture, and features of Databricks SQL. These make it possible to analyze and extract insights from data using a combination of queries, visualizations, and dashboards - all from a single platform.

Beginner
1h 4m
(34)

Created by Kishan Iyer

Last Updated Mar 22, 2022

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  • Course

Getting Started with Databricks SQL

This course introduces you to the concepts, architecture, and features of Databricks SQL. These make it possible to analyze and extract insights from data using a combination of queries, visualizations, and dashboards - all from a single platform.

Beginner
1h 4m
(34)

Created by Kishan Iyer

Last Updated Mar 22, 2022

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This course is included in the libraries shown below:

  • Cloud
  • Data
What you'll learn

Most data analysts use a variety of tools in order to gain an all-round understanding of their business data. In this course, Getting Started with Databricks SQL, you will learn various concepts, components, and features of Databricks SQL which allow all of this to be accomplished from a single platform. First, you will discover some of the core concepts around the storing of data in Databricks, including data lakes and lakehouses, and how Databricks SQL makes it easy to access and analyze this data. Then, you will explore into the various components of Databricks SQL, such as SQL endpoints, queries, visualizations, and dashboards, and how all of these come together to enable analysts to look at their data from many points of view and gain a big-picture view of it. Finally, you will learn how to create a table using Databricks SQL, which you will then analyze using a query and a visualization. Once you finish this course, you will recognize the true power of Databricks SQL when it comes to analyzing and gaining insights from big data.

Getting Started with Databricks SQL
Beginner
1h 4m
(34)
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About the author
Kishan Iyer - Pluralsight course - Getting Started with Databricks SQL
Kishan Iyer
40 courses 4.0 author rating 129 ratings

An engineer at heart, I am drawn to any interesting technical topic. Big Data, ML and Cloud are presently my topics of interest.

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