This tutorial will guide you to understand Architecture of a Data Warehouse which includes Business Analysis Framework, Three- Tier Data Warehouse Architecture and different data warehouse models such as Data Mart, Virtual Warehouse and enterprise warehouse in brief. In the last lecture we have seen different processes in a data warehouse, process flow which includes Data Extract and Load process, Clean and Transform process, Back Up and Archive the data and Query Management Process in detail with some simple examples. A data warehouse is collection of organizational data used to help an organization to make important decisions and improve business. We will be covering all the Data Warehouse concepts with easy to understand tutorials which will help you master conceptual knowledge of Data Warehousing. But first, you should be aware of Structured Query Language (SQL) which we have already covered. Please find the link for FULL COURSE OF SQL. SQL Full Course Playlist.    • SQL Full Course   PYTHON Full Course Playlist.    • Python Full Course   Description AmpCode provides you e-learning platform with a mission of making education accessible to every student. AmpCode will provide you tutorials, full courses of some of the best technologies in the world today. By subscribing to this channel, you will never miss out on high quality videos on trending topics in the areas of Big Data & Hadoop, DevOps, Machine Learning, Artificial Intelligence, Angular, Data Science, Apache Spark, Python, Selenium, Tableau, AWS , Digital Marketing and many more #data_warehouse #data_warehouse_tutorial #data_warehouse_architecture #database #sql #data_analytics #data_science