Master Using SQL with Python - Create a Data Warehouse with SQLite

Learn to build a local data warehouse using SQLite for simplified data analysis in this comprehensive video tutorial. Extract data from enterprise SQL Server and PostgreSQL databases, perform transformations, and consolidate information into a SQLite database. Explore the power and features of SQLite, create classes, work with Jupyter notebooks, and utilize Python libraries such as SQLite, SQLDB, and pandas. Follow along as the instructor demonstrates importing data from various sources, aggregating information, creating consolidated views, and executing SQL commands. Gain practical skills in data warehousing and analysis while leveraging the simplicity and efficiency of SQLite.

Syllabus

Introduction
Databricks Book
Proposal
Data Analysis
Power of SQLite
SQLite Features
Scenario
Creating a Class
SQLite Notebook
Importing SQLite
Importing SQLDB
Aggregating Data
Importing pandas
Running the query
Creating a consolidated view
Loading a CSV file
Loading data from PostgreSQL
Executing commands against SQLite
Closing connections