Databricks is a unified analytics platform that can handle huge volumes of data, process it faster, and help explore and analyze the data in-depth.
In this course, Data Preparation and Exploration in Databricks, you'll gain the ability to explore, analyze, clean, and transform data using the Databricks platform; store the processed data in Delta Lake format; and visualize the data using Databricks charts and dashboards.
First, you'll learn how to set up the Databricks environment. Then, you'll discover how to extract data from multiple sources in Databricks - like Azure Data Lake Store and Databricks File System (DBFS) - and create Spark DataFrames.
Next, you'll go over how to explore and analyze data using Spark and Databricks features, clean and transform the data using Spark, and visualize the data using Databricks charts and
dashboards.
Following this, you'll see how to store the processed data in Data Lake or as Databricks Tables in Delta Lake format. Finally, you'll learn how to do performance optimization in Databricks.
When you're finished with this course, you'll have the skills and knowledge of Databricks needed to prepare and explore the data.
Homepage:

https://www.pluralsight.com/courses/databricks-data-preparation-exploration