The toolkit provides a complete overview of data warehousing together with in-depth explanations of critical issues in planning, design, deployment, and ongoing maintenance. IT professionals will be able to apply techniques for extraction of data from source systems, data transformations, data staging, data warehouse architecture and infrastructure, and the various methods for information delivery with the use of these documents.

Specifically usable in ready to go Word and Powerpoint documents, developed for managers and professionals designing, implementing, or maintaining data warehousing systems, this practical toolkit spans the entire landscape of the subject.

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How to save $ 33,225.00 The Data Warehousing Toolkit has taken 443 hours to compile, at a professional rate of $ 75/hour (minimum) your immediate savings are 443 hours * $ 75= $ 33,225.00

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  There is absolutely no need to re-invent the wheel! The Toolkit is supplied primarily in MS-Word, Excel and Powerpoint format, ready for you to use, and comprises the following 13 components:

		All Documents: The Data Warehousing Toolkit THE reference kit for all involved and interested in Data Warehousing. Thirteen extensive documents ready to go and use. We guarantee that every transaction you make at Manager-tool.com will be safe. Straight after purchasing you will receive download details for The Data Warehousing Toolkit. Price is in USD, all inclusive.		Special Price		$199.00 each
		An introduction to Data Warehousing Extensive presentation covering: -Data Warehousing Concept -Data Access Technology -Enterprise Real-Time Knowledge Architecture for Data Warehousing -Data Collection and Delivery Slides: 77
		Best Practices in Data warehousing Executive overview covering: -Best Practices -Focus on Business Value -Strong Leadership -Willing to Change Corporate Culture -Implementation of Business Rules -Value Driven Query Activities -Timely Load Processing -Business Driven Configuration/Version Changes -Business Considerations within Operations and Infrastructure -Well Thought Out Rollout Strategy -Example Slides: 38
		Building a Virtual Document Warehouse Implementation Guide Pages: 57
		Data Mining in e-commerce This document focuses on analysis and implementation of a data mining engine used to discover knowledge from transaction database for electronic commerce industry. Pages: 78
		Data Warehousing and Mining introduction Presentation covers: -Data Warehousing and Information Integration -Brief History of Data Warehousing -What is a Data Warehouse? -Types of Data and Their Uses -Data Warehouse Architectures -Issues in Data Warehousing Slides: 35
		Data warehousing and olap Extensive slide show presentation Slides: 58
		Data warehousing concepts and terms Extensive introduction to data warehousing concepts and terms. Pages: 21
		Data Warehousing implementation plan This document documents a study into Data Warehousing and its application to providing management assistance. The report describes a project which set out to build a data warehouse, develop decision support models and implement business intelligence desktop tools. Pages: 115
		Data Warehousing Tool Selection Considerations for Data Warehousing Tool Selection Pages: 10

		Introducing data warehousing to your organisation Introducing Data Warehousing to Your Organization Pages: 9
		Introduction to Data Warehousing What is a data warehouse? A simple answer could be that a data warehouse is managed data situated after and outside the operational systems. A complete definition requires discussion of many key attributes of a data warehouse system. Later in Section 2, we will identify these key attributes and discuss the definition they provide for a data warehouse. Section 3 briefly reviews the activity against a data warehouse system. Initially in Section 1, however, we will take a brief tour of the traditions of managing data after it passes through the operational systems and the types of analysis generated from this historical data. Pages: 19
		Introduction to data warehousing Introduction to data warehousing Slides: 21
		Myths of Common Data Warehousing Practices This paper begins a dialog on the ethical usage of data warehousing practices. Seven myths are explored and counter-myths are provided. Three myths focus on consumer value including data collection (privacy), customer profiling, and persuasive (targeted) marketing. Two business value myths focus on productivity and reputation. Two additional myths focus on societal values that include discussion on the economy and environmental issues and finally national security issue. This paper is presented in a discussion-based format designed to further discussion of information ethics in the context of data warehousing practices. Pages: 8

  A clients' testimonial - Paul Chernoch: 

"After six years of creating data warehouse  applications, making a plethora of mistakes and learning stuff the hard way, I wish I had had this toolkit at the start! Every other document and page offers a solution to some problem or other that I have had. In the project I am just starting I am facing new challenges and am  finding help with them as well.

The best part is how solutions I used in the past which were appropriate for those problems are contrasted with solutions for problems like the ones I am facing now. Almost as bad as solving a problem the wrong way (or overlooking it entirely) is reusing an old solution that does not fit the new problem. This toolkit clearly spells out when each solution is appropriate. I can not speak too highly about how useful this toolkit will be for you!"

Ready to buy? Order the Data Warehousing Toolkit today