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View 1.pdf from COMPUTER 3 at University of Agriculture, Peshawar. DATA WAREHOUSING By Syed Bakhtawar Shah 1 Data Warehousing Reference Books Data Warehousing Fundamentals by Paulraj Ponniah The. Publisher: John Wiley & Sons. Release Date: May 2010. Data Warehousing Fundamentals By PaulRaj Ponniah Author. Software Engineering A Practitioner's Approach By. Solution Manual for Data. Read Data Warehousing Fundamentals for IT Professionals by Paulraj Ponniah with Rakuten Kobo. Cutting-edge content and guidance from a data warehousing.
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The author provides an enhanced, comprehensive overview of data warehousing together with in-depth explanations of critical issues in planning, design, deployment, and ongoing maintenance. IT professionals eager to get into the field will gain a clear understanding of techniques for data extraction from source systems, data cleansing, data transformations, data warehouse architecture and infrastructure, and the various methods for information delivery. This practical Second Edition highlights the areas of data warehousing and business intelligence where high-impact technological progress has been made. Discussions on developments include data marts, real-time information delivery, data visualization, requirements gathering methods, multi-tier architecture, OLAP applications, Web clickstream analysis, data warehouse appliances, and data mining techniques. The book also contains review questions and exercises for each chapter, appropriate for self-study or classroom work, industry examples of real-world situations, and several appendices with valuable information. Specifically written for professionals responsible for designing, implementing, or maintaining data warehousing systems, Data Warehousing Fundamentals presents agile, thorough, and systematic development principles for the IT professional and anyone working or researching in information management.
Creative Downloadable Resume Templates. Part 1 OVERVIEW AND CONCEPTS. 1 The Compelling Need for Data Warehousing.
Chapter Objectives. Escalating Need for Strategic Information. Failures of Past Decision Support Systems. Operational Versus Decision-Support Systems.
Data Warehousing--The Only Viable Solution. Data Warehouse Defined. The Data Warehousing Movement. Rockwell Font Rapidshare Library here. Evolution of Business Intelligence. Chapter Summary.
Review Questions. 2 Data Warehouse: The Building Blocks. Chapter Objectives.
Defining Features. Data Warehouses and Data Marts. Architectural Types.
Overview of Components. Metadata in the Data Warehouse. Home Remedies. Chapter Summary. Review Questions. 3 Trends in Data Warehousing. Chapter Objectives.
Continued Growth in Data Warehousing. Vendor Solutions and Products. Significant Trends. Emergence of Standards. Web-Enabled Data Warehouse. Chapter Summary.
Review Questions. Part 2 PLANNING AND REQUIREMENTS.
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