Data Analysis using SparkSQL

Learning Objectives

Understand and use temporary views in Databricks to work with SQL effectively.

Differentiate between the various types of tables in Databricks and apply them to relevant data use cases.

Perform advanced data analysis using Spark SQL within the Databricks environment.

Create and utilize User Defined Functions (UDFs) in Databricks to extend SQL functionality and perform complex data transformations.

Overview

This masterclass is designed to empower with the skills to efficiently perform data analysis using Databricks. Through hands-on exercises, you will explore temporary views and tables, mastering how to work with structured data seamlessly. The session will delve into advanced data manipulation techniques using Spark SQL and introduce User Defined Functions (UDFs) to extend SQL capabilities and optimize complex data transformations.

Prerequisites

Basic understanding of Databricks and Spark.
Familiarity with SQL queries and basic database concepts.
Familiarity with functions