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This lesson shows how to extract and transform data from SQL Server and PostgreSQL, load it into a local SQLite data warehouse, and use Python, SQL, and pandas to support analysis.
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
Taught by
Bryan Cafferky