Mastering Databricks SQL Warehouse and Spark SQL

What you'll learn
Getting Started with Databricks SQL for Data Analysis or Data Engineering
Overview of building reports and dashboards using Databricks SQL
Creating Databases and Tables using Databricks SQL or Spark SQL
Writing Basic Queries using Databricks SQL or Spark SQL
DML to load data into Databricks SQL or Spark SQL Tables
Advanced Operations such as Ranking and Aggregations using Databricks SQL or Spark SQL
Processing Semi-Structured Data using Databricks SQL or Spark SQL
Requirements
Basic SQL Skills and Data Analysis Skills
Computer with decent configuration and Internet
Description
Databricks SQL Warehouse is relatively new technology to build Data Lakehouse or Data Warehouse leveraging powerful Apache Spark Engine where the analytics can be built at scale. As part of this comprehensive course, you will learn all key skills required to master Databricks SQL Warehouse including Spark SQL as the SQL in Databricks SQL Warehouse is based on Spark SQL.
This course also covers most of the curriculum relevant to clear the Databricks Certified Data Analyst Associate Exam offered by Databricks itself.
Here are the high-level details related to this course. This is a beginner level course where you will be able to not only learn syntax and semantics of Databricks SQL or Spark SQL, you will also understand the concepts of the same.
Setup Course Material and Environment for Databricks SQL Warehouse
Managing Databases using Databricks SQL Warehouse
Manage Delta Tables in Databricks SQL Warehouse
Setup Data Set for Databricks SQL Views and Copy Commands
Databricks SQL or Spark SQL Queries to Process Values in JSON String Columns
Copy Data into Delta Tables in Databricks SQL Warehouse
Insert or Merge Spark SQL or Databricks SQL Query Results or View into Delta Tables
Merge Spark SQL or Databricks SQL Query Results and Data from Delta Table with Delete into Delta Tables
Basic SQL Queries using Spark SQL or Databricks SQL
Performing Aggregations using Group By and filtering using Having leveraging Spark SQL or Databricks SQL
Aggregations using Windowing or Analytical Functions including Cumulative Aggregations using Spark SQL or Databricks SQL
Ranking using Windowing or Analytical Functions using Spark SQL or Databricks SQL
Dealing with different file formats such as parquet, json, csv, etc using Spark SQL or Databricks SQL
All Important types of Joins such as Inner, left or right outer, full outer using Spark SQL or Databricks SQL
Visualizations and Dashboards using Databricks SQL Warehouse
We have also provided quite a few exercises along with solutions with explanations through the course.
Key Takeaways of Mastering Databricks SQL and Spark SQL using Databricks SQL Warehouse
Setup Environment to learn Databricks SQL and Spark SQL using Azure
Support via Udemy Q&A backed by our expert team
Data Sets and Material via GitHub Repository along with instructions to practice Databricks SQL or Spark SQL
Life Time Access to High Quality Video Lectures to learn Databricks SQL and Spark SQL
Who this course is for
Data Analysts and BI Developers who want to understand Databricks SQL or Spark SQL Queries to analyze the data
Data Engineers who would like to understand Databricks SQL
QA Analysts or Engineers who would like to understand Databricks SQL for the validation of the data
Business Analysts to analyze the Data in the Data Lake using Databricks SQL or Spark SQL Queries
BI Developers who want to understand how to connect BI Tools to Databricks SQL Endpoint and develop required reports and dashboards
Homepage

https://www.udemy.com/course/databricks-sql-warehouse-and-spark-sql/