Data Warehouse - bobbae/gcp GitHub Wiki
A data warehouse is an enterprise system used for the analysis and reporting of structured and semi-structured data from multiple sources, such as point-of-sale transactions, marketing automation, customer relationship management, and more.
https://cloud.google.com/learn/what-is-a-data-warehouse
https://www.astera.com/type/blog/data-warehouse-concepts/
https://www.guru99.com/data-warehouse-architecture.html
Secure data warehouse blueprint
Data modeling
https://www.guru99.com/database-design.html
https://www.guru99.com/data-modeling-tools-design-database.html
ELT vs ETL
https://www.guru99.com/etl-vs-elt.html
OLAP vs OLTP
https://www.guru99.com/oltp-vs-olap.html
Fact table vs Dimension table
https://www.guru99.com/fact-table-vs-dimension-table.html
Dimensional modeling
https://www.guru99.com/dimensional-model-data-warehouse.html
Star and Snowflake
https://www.guru99.com/star-snowflake-data-warehousing.html
Inmon or Kimball
BigQuery
Learn about BigQuery, Google Cloud’s modern and serverless data warehousing solution.
Data lake
A data lake is a centralized repository designed to store, process, and secure large amounts of structured, semistructured, and unstructured data. It can store data in its native format and process any variety of it, ignoring size limits.
https://www.guru99.com/data-lake-architecture.html
Data warehousing tools
https://www.guru99.com/top-20-etl-database-warehousing-tools.html
ETL Tools
https://www.guru99.com/best-etl-tools.html
https://www.guru99.com/etl-testing-tools.html