Learn SQL with Databricks 

Course Introductory

Grasping the Databricks Platform

Exploring Databricks Features and Benefits

Data Science and Data Engineering with Databricks

Introduction to SQL: Purpose and Applications

Basics of Querying Data with SQL

Importance of SQL in Data Analysis

Creating a Databricks Account

Creating a Databricks Account - Demo

Navigating the Databricks Workspace - Part I

Navigating the Databricks Workspace - Part II

Configuring Clusters for SQL Processing

Using Notebooks for Coding

Databricks Architecture, Concepts and Functionalities - Part I

Databricks Architecture, Concepts and Functionalities - Part II

Loading and Managing Data in Databricks

Exploring Data in Databricks Environment - Part I

Exploring Data in Databricks Environment - Part II

Data Preparation Techniques Using Databricks

Monitoring Data and AI Assets in Databricks

Sharing Data Using Delta Sharing in Databricks

Exploring Databricks Marketplace

Grasping Data Engineering in Databricks - Part I

Grasping Data Engineering in Databricks - Part II

Using Generative AI and LLMs on Databricks

Introduction to Machine Learning with Databricks

Data Warehousing Strategies with Databricks

Proficiency in Delta Lake and Developer Tools

Databricks Technology Partners Showcase

Query Cheat sheet

Course Overview

Databricks on Amazon Web Services (AWS)

Databricks on Google Cloud Platform (GCP)

Databricks on Azure Cloud Platform

Apache Spark on Databricks

Building Efficient Data Pipelines in Databricks

Introduction to Databricks Repositories

Ethical Considerations in Data Science and AI

Module Synopsis: Introduction to SQL and Databricks

Module Wrap-Up Assessment: Introduction to SQL and Databricks

Knowledge Check: Introduction to Databricks and SQL

Knowledge Check: Setting Up Databricks Environment

Knowledge Check: Databricks Essentials and Data Loading

Knowledge Check: Databricks Lakehouse Platform Overview

Share your initial impressions of the Databricks platform. What features seem most useful?

Describe your experience in setting up your Databricks account and environment. What challenges did you face?

Share your strategies for efficient data loading and management in Databricks.

How does the Databricks Lakehouse architecture innovate data warehousing and engineering?

Exploring SQL Data Types

Creating Databases in Databricks - Part I

Creating Databases in Databricks - Part II

Creating Tables with Specific Data Types

Creating Tables with Specific Data Types - Demo

Managing Database Schemas

Basics of the SELECT Statement - Part I

Basics of the SELECT Statement - Part II

Filtering Data with WHERE Clause

Sorting Results with ORDER BY

Limiting Query Results with LIMIT

Conditional Operators in WHERE Clause

Using Comparison Operators for Filtering

Applying Multiple Conditions in WHERE Clause

Filtering with NULL and IS NULL Conditions

Introduction to GROUP BY for Data Aggregation

Using Aggregate Functions

Performing Aggregation on Grouped Data

Using GROUP BY with HAVING Clause for Filtering Grouped Data

Module Synopsis: SQL Fundamentals

Module Wrap-Up Assessment: SQL Fundamentals

Knowledge Check: Data Types and Databases

Knowledge Check: Retrieving Data with SELECT Statement

Knowledge Check: Filtering Data with WHERE Clause

Knowledge Check: Aggregating Data with GROUP BY and Aggregate Functions

Share your experience in creating and managing databases and tables in Databricks.

Discuss the versatility of the SELECT statement in data retrieval. Share an example.

Discuss the importance of precision in using the WHERE clause for data analysis.

How does data aggregation using GROUP BY contribute to data analysis?

Exploring Different Types of Joins

Relationships between Tables

Joining Tables using Multiple Columns

Using Aliases in Joins for Better Readability

Subqueries for Filtering and Data Retrieval

Creating Nested Queries for Complex Analysis

Using Subqueries in WHERE and SELECT Clauses

Optimizing Queries with Subqueries

Inserting Data into Tables using INSERT Statement

Deleting Data with DELETE Statement

Managing Transactions and Rollback Operations

Updating Existing Data with UPDATE Statement

Module Synopsis: Advanced SQL Queries

Module Wrap-Up Assessment: Advanced SQL Queries

Knowledge Check: Joins and Relationships

Knowledge Check: Subqueries and Nested Queries

Knowledge Check: Data Modification with INSERT, UPDATE, DELETE

Modifying Table Structures with ALTER TABLE

Dropping Tables and Databases using DROP

Renaming Columns and Tables with ALTER

Managing Constraints using ALTER TABLE

Exploring Indexes and their Types

Creating and Managing Indexes for Faster Queries

Optimizing Queries using Indexes

Creating and Using Views in SQL

Advantages of using Views and Stored Procedures

Modifying and Dropping Views

Real-world Case Studies of SQL Applications in Databricks

Database Maintenance and Optimization Strategies - Part I

Database Maintenance and Optimization Strategies - Part II

Data Security Best Practices in Databricks SQL Databases

Best Practices for Index Implementation

Implementing Stored Procedures for Repetitive Tasks

Best Practices for Writing Efficient SQL Queries

Introduction to Data Governance Best Practices

Module Synopsis: Data Manipulation and Optimization

Module Wrap-Up Assessment: Data Manipulation and Optimization

Knowledge Check: Modifying Data with ALTER and DROP

Knowledge Check: Indexes and Optimization

Knowledge Check: Views and Stored Procedures

Knowledge Check: Case Studies and Best Practices

Course Summary

Course Synopsis: Learn SQL with Databricks

End Course Assessment: Learn SQL with Databricks