By Paulraj Ponniah
Cutting-edge content material and advice from an information warehousing expert—now elevated to mirror box trends
facts warehousing has revolutionized the best way companies in a wide selection of industries practice research and make strategic judgements. because the first variation of Data Warehousing Fundamentals, a number of companies have carried out information warehouse structures and reaped huge, immense merits. Many extra are within the strategy of doing so. Now, this new, revised variation covers the fundamental basics of knowledge warehousing and enterprise intelligence in addition to major contemporary developments within the box.
the writer presents an better, complete assessment of information warehousing including in-depth causes of severe matters in making plans, layout, deployment, and ongoing upkeep. IT execs wanting to get into the sphere will achieve a transparent realizing of innovations for facts extraction from resource platforms, information detoxing, info changes, info warehouse structure and infrastructure, and a few of the equipment for info supply.
This useful Second Edition highlights the components of knowledge warehousing and enterprise intelligence the place high-impact technological development has been made. Discussions on advancements comprise information marts, real-time info supply, information visualization, specifications amassing tools, multi-tier structure, OLAP purposes, net clickstream research, facts warehouse home equipment, and knowledge mining concepts. The e-book additionally includes overview questions and workouts for every bankruptcy, acceptable for self-study or school room paintings, examples of real-world events, and several other appendices with helpful details.
in particular written for pros chargeable for designing, imposing, or retaining facts warehousing structures, Data Warehousing Fundamentals provides agile, thorough, and systematic improvement rules for the IT specialist and somebody operating or learning in details management.Content:
Chapter 1 The Compelling want for Datawarehousing (pages 1–21):
Chapter 2 Datawarehouse: The construction Blocks (pages 23–44):
Chapter three traits in Datawarehousing (pages 45–70):
Chapter four making plans and venture administration (pages 71–97):
Chapter five Defining the enterprise specifications (pages 99–120):
Chapter 6 standards because the motive force for Datawarehousing (pages 121–138):
Chapter 7 Architectural elements (pages 139–161):
Chapter eight Infrastructure because the beginning for Datawarehousing (pages 163–192):
Chapter nine the numerous position of Metadata (pages 193–221):
Chapter 10 rules of Dimensional Modeling (pages 223–248):
Chapter eleven Dimensional Modeling: complex subject matters (pages 249–279):
Chapter 12 info Extraction, Transformation, and Loading (pages 281–314):
Chapter thirteen information caliber: A Key to good fortune (pages 315–337):
Chapter 14 Matching details to the periods of clients (pages 339–372):
Chapter 15 Olap within the Datawarehouse (pages 373–406):
Chapter sixteen Datawarehousing and the net (pages 407–427):
Chapter 17 information Mining fundamentals (pages 429–460):
Chapter 18 The actual layout approach (pages 461–487):
Chapter 19 Datawarehouse Deployment (pages 489–509):
Chapter 20 development and upkeep (pages 511–525):
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Additional info for Data Warehousing Fundamentals for it Professionals, Second Edition, Second Edition
The data in a corporation resides in various disparate systems, multiple platforms, and diverse structures. The more technology your company has used in the past, the more disparate the data of your company will be. But, for proper decision making on overall corporate strategies and objectives, we need information integrated from all systems. Data needed for strategic decision making must be in a format suitable for easy analysis to spot trends. Executives and managers need to look at trends over time and steer their companies in the proper direction.
You take all the historic data from the various operational systems, combine this internal data with any relevant data from outside sources, and pull them together. You resolve any conflicts in the way data resides in different systems and transform the integrated data content into a format suitable for providing information to the various classes of users. Finally, you supplement with information delivery methods. In order to set up this information delivery system, you need different components or building blocks.
Availability of strategic information at one of the largest banks in the United States with assets in the $250 billion range allows users to make quick decisions to retain their valued customers. In the case of a large health management organization, significant improvements in health care programs are realized, resulting in a 22% decrease in emergency room visits, 29% decrease in hospital admissions for asthmatic children, potentially sightsaving screenings for hundreds of diabetics, improved vaccination rates, and more than 100,000 performance reports created annually for physicians and pharmacists.
Data Warehousing Fundamentals for it Professionals, Second Edition, Second Edition by Paulraj Ponniah