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.
Overview
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.
Taught by
Thomas LeBlanc