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1
Introduction
2
Databricks Book
3
Proposal
4
Data Analysis
5
Power of SQLite
6
SQLite Features
7
Scenario
8
Creating a Class
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SQLite Notebook
10
Importing SQLite
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Importing SQLDB
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Aggregating Data
13
Importing pandas
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Running the query
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Creating a consolidated view
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Loading a CSV file
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Loading data from PostgreSQL
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Executing commands against SQLite
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Closing connections
Description:
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.

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

Bryan Cafferky
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