Building the Data Warehouse 4th edition, by William H. Inmon covers new approaches and applied sciences by explaining the basics of knowledge warehouse systems. The book covers new subjects comparable to strategies for handling unstructured data in a data warehouse and storing knowledge throughout multiple storage media.
Information warehouses present a lot-needed technique for organizations to gather, retailer, and analyze vast quantities of enterprise data. As businesses broaden both brick-and-mortar and online action, the field of knowledge warehousing has developed into increasingly important. Since it was first published in 1990, it’s the book that launched the data warehousing trade and it remains the preeminent introduction to the subject.
Building the Data Warehouse 4th edition, by William H. Inmon discusses the pros and cons of relational versus multidimensional design and how you can measure return on investment in planning knowledge warehouse projects. Author covers advanced topics, together with knowledge monitoring and testing.
An outline of all the fundamental components of data warehouse programs affords you a refresher of the methods used for information warehouse design; varied information warehouse migration strategies; and the applied sciences that can be applied for loading, indexing, and managing data. So as to bring you updated, this in-depth guide then features the latest advances in data warehousing.
New chapters cowl understanding methods for dealing with unstructured information in a knowledge warehouse, storing data throughout a number of storage media, inspecting the professionals and cons of relational vs. multidimensional design, measuring return on investment in planning data warehouse initiatives and exploring advanced subjects, including data monitoring and testing.
Building the Data Warehouse
William H. Inmon
Wiley; 4 edition
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