This document provides an overview of loading data into tables in a "Retail database" using the Databricks SQL platform. It outlines configuring the Databricks CLI to push data to the Databricks platform, using the platform to load the data into tables in the retail database, and reviewing the data using the SQL editor. The steps include creating a cluster to analyze JSON data, examining the JSON and Delta table schemas, loading data from Spark DataFrames into Delta tables, and running queries on the tables.

1. Overview of Databricks SQL Clusters
• Databricks SQL Platform Introduction
• Use Databricks SQL Editor to develop scripts or queries, setup a ‘Retail database’
• Review Retail database
• Overview of loading data into retail_db tables
 Configure databricks CLI
 Use Databricks CLI to push data to Databricks Platform
 Use Databricks Platform to load data into retail_db tables
 Review the data using SQL editor of Databricks SQL Platform

2. Databricks SQL Platform Introduction

3. Use Databricks SQL Editor to develop scripts or queries

4. Review Retail database

5. Configuring Databricks CLI (Part A)

6. Configuring Databricks CLI (Part B)

7. Use Databricks CLI to push data to Databricks Platform (Part A)

8. Use Databricks CLI to push data to Databricks Platform (Part B)

9. Use Databricks Platform to load data into retail_db tables
Part A- Creation of cluster which will be used in notebook to analyze JSON data
Part A - CLUSTER CREATION

10. Use Databricks Platform to load data into retail_db tables
Part B- Analyze JSON Data

11. Use Databricks Platform to load data into retail_db tables
Part C- Analyze Delta (Target) table schemas using Spark API’s

12. Use Databricks Platform to load data into retail_db tables
Part D- Load data from Spark Dataframes into Delta tables
(i)

13. Use Databricks Platform to load data into retail_db tables
Part D- Load data from Spark Dataframes into Delta tables
(ii)

14. Review the data using SQL editor of Databricks SQL Platform
(i)

15. Review the data using SQL editor of Databricks SQL Platform
(ii)

16. Review the data using SQL editor of Databricks SQL Platform
(iii)

17. Review the data using SQL editor of Databricks SQL Platform
(iv)