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
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