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Delta Lake Essentials in Databricks

Lakehouse architecture is the latest and greatest tool in cloud data warehousing. This course will focus on this architecture introduced by Databricks. The lakehouse relies on storing the queryable data in Delta table format.

Thomas LeBlanc - Pluralsight course - Delta Lake Essentials in Databricks
by Thomas LeBlanc
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What you'll learn

Delta tables are the default table format for using Delta Lake in the medallion architecture for cloud-based data warehousing. Transitioning from on-premises data warehousing with relational databases to lakehouse architecture has to be a transformation in a developer’s thinking.

In this course, Delta Lake Essentials in Databricks, you will gain the ability to comprehend and implement the Delta table structure for lakehouse architecture.

First, you will explore the lakehouse architecture leading the future of cloud data warehousing.

Next, you’ll discover the transformative storage at which Delta tables excel compared to the traditional formats.

Finally, you will learn how to code PySpark with the creation, population, and maintenance of Delta tables.

When you’re finished with this course, you’ll have the skills and knowledge of data lake essentials in Databricks needed to succeed with a cloud lakehouse implementation.

Table of contents

About the author

Thomas LeBlanc - Pluralsight course - Delta Lake Essentials in Databricks
Thomas LeBlanc

Microsoft Data Platform MVP specializing in SQL Server, Microsoft Business Intelligence (SSIS, SSAS & SSRS) and Power BI.

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