Unlike popular belief, Data Warehouse is not a single tool but a collection of software tools. A data warehouse will collect data from diverse sources into a single database. Using Business Intelligence tools, meaningful insights are drawn from this data. The best thing about “Learn Data Warehousing in 1 Day" is that it is small and can be completed in a day. With this e-book, you will be enough knowledge to contribute and participate in a Data warehouse implementation project. The book covers upcoming and promising technologies like Data Lakes, Data Mart, ELT (Extract Load Transform) amongst others. Following are detailed topics included in the book Table content Chapter 1: What Is Data Warehouse? Chapter 2: Data Warehouse Architecture Chapter 3: ETL Process Chapter 4: ETL Vs ELT Chapter 5: Data Modeling Chapter 6: OLAP Chapter 7: Multidimensional Olap (MOLAP) Chapter 8: OLAP Vs OLTP Chapter 9: Dimensional Modeling Chapter 10: Star and SnowFlake Schema Chapter 11: Data Mart Chapter 12: Data Mart Vs Data Warehouse Chapter 13: Data Lake Chapter 14: Data Lake Vs Data Warehouse Chapter 15: What Is Business Intelligence? Chapter 16: Data Mining