By Paulraj Ponniah
Geared to IT pros desirous to get into the all-important box of knowledge warehousing, this ebook explores all issues wanted via those that layout and enforce facts warehouses. Readers will find out about making plans specifications, structure, infrastructure, information guidance, info supply, implementation, and upkeep. They'll additionally discover a wealth of examples garnered from the author's 25 years of expertise in designing and imposing databases and knowledge warehouse purposes for significant corporations.
Market: IT execs, specialists.
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Extra resources for Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals
Data staging provides a place and an area with a set of functions to clean, change, combine, convert, deduplicate, and prepare source data for storage and use in the data warehouse. Why do you need a separate place or component to perform the data preparation? Can you not move the data from the various sources into the data warehouse storage itself and then prepare the data? When we implement an operational system, we are likely to pick up data from different sources, move the data into the new operational system database, and run data conversions.
You may want just the name and address of a single customer. Or, you may need the orders placed by a single customer in a single week. Or, you may just need to look at a single invoice and the items billed on that single invoice. In operational systems, you do not have broad queries. You do not query the operational system in unexpected ways. The queries are all predictable. Again, you do not expect a particular query to run across different operational systems. What does all of this mean? Simply this: there is no conformance of data among the various operational systems of an enterprise.
The main criteria were simplicity and ease of use. The system would display key information every day and provide ability to request simple, straightforward reports. However, only preprogrammed screens and reports were available. After seeing the total countrywide sales, if the executive wanted to see the analysis by region, by product, or by another dimension, it was not possible unless such breakdowns were already preprogrammed. This limitation caused frustration and executive information systems did not last long in many companies.
Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals by Paulraj Ponniah