Rate this book
What to read after Data Mapping for Data Warehouse Design?
Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Data Mapping for Data Warehouse Design" by Qamar Shahbaz! 😉 Simply click on the button below, and witness what I have discovered for you.
Exciting news! I've found some fantastic books for you! 📚✨ Check below to see your tailored recommendations. Happy reading! 📖😊
Data mapping in a data warehouse is the process of creating a link between two distinct data models’ (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract, transform, and load data between databases) developer to a data modeler role. Data Mapping for Data Warehouse Design provides basic and advanced knowledge about business intelligence and data warehouse concepts including real life scenarios that apply the standard techniques to projects across various domains. After reading this book, readers will understand the importance of data mapping across the data warehouse life cycle.
- Covers all stages of data warehousing and the role of data mapping in each
- Includes a data mapping strategy and techniques that can be applied to many situations
- Based on the author’s years of real-world experience designing solutions
Do you want to read this book? 😳
Buy it now!
Are you curious to discover the likelihood of your enjoyment of "Data Mapping for Data Warehouse Design" by Qamar Shahbaz? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.
