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EBooks » Database
Springer; 1 edition (November 14, 2008)
PDF | 382pages | English | 8.17Mb(rar)
New Trends in Data Warehousing and Data Analysis/by Stanislaw Kozielski (Editor), Robert Wrembel (Editor) DescriptionMost of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Nowadays, knowledge-based management systems include data warehouses as their core components. The purpose of building a data warehouse is twofold. Firstly, to integrate multiple heterogeneous, autonomous, and distributed data sources within an enterprise. Secondly, to provide a platform for advanced, complex, and efficient data analysis. Data integrated in a data warehouse are analyzed by the so-called On-Line Analytical Processing (OLAP) applications designed among others for discovering trends, patterns of behavior, and anomalies as well as for finding dependencies between data. Massive amounts of integrated data and the complexity of integrated data that more and more often come from WEB-based, XML-based, spatio-temporal, object, and multimedia systems, make data integration and processing challenging. The objective of NEW TRENDS IN DATA WAREHOUSING AND DATA ANALYSIS is fourfold: First, to bring together the most recent research and practical achievements in the DW and OLAP technologies. Second, to open and discuss new, just emerging areas of further development. Third, to provide the up-to-date bibliography of published works and the resource of research achievements for anyone interested in up-to-date data warehouse issues. And, finally, to assist in the dissemination of knowledge in the field of advanced DW and OLAP. Wiley (March 26, 2007) | PDF | 552 pages | 4.5mb(rar)
Microsoft Access 2007 Data Analysis/by Michael Alexander (Author) DescriptionChart a course for more effective data analysis with Access 2007. With this resource, you’ll learn how Access 2007 offers powerful functionality that may be better suited to your data analysis needs. Learn to analyze large amounts of data in meaningful ways, quickly and easily slice it into various views, automate redundant analysis, and save time—all using Access. If you know a bit about table structures and formulas as well as data analysis, start thinking outside the chart.Data analysis is more than crunching numbers and turning them into charts and graphs. Certainly Excel can do that, but you may be surprised to discover that Access 2007 offers powerful functionality that may be even better suited to your data analysis needs. Learn to analyze large amounts of data in meaningful ways, quickly and easily slice it into various views, automate redundant analysis, and save time, all using Access. If you know a bit about table structures and formulas as well as data analysis, start thinking outside the chart. Apply Access 2007 to the task of collecting, transforming, analyzing, and presenting data Create custom functions, perform batch analysis, and develop automated procedures that essentially run themselves Build effective query skills Learn to clean and shape raw data, create and utilize custom calculations, work with dates, and perform advanced time analysis Work with SQL statements, PivotTables, and PivotCharts Perform advanced statistical analysis using subqueries and domain aggregate functions See how to use macros and Visual Basic® for Applications to enhance data analysis 
Information Science Reference (August 19, 2008)
PDF | 564 pages | English | 7.7mb
Selected Readings on Database Technologies and Applications/by Terry Halpin (Editor)
Education and research in the field of database technology can prove problematic without the proper resources and tools on the most relevant issues, trends, and advancements.
Selected Readings on Database Technologies and Applications supplements course instruction and student research with quality chapters focused on key issues concerning the development, design, and analysis of databases. 
Wiley (July 17, 2000) | PDF | 416 pages | English | 6.8mb
Building and Managing the Meta Data Repository: A Full Lifecycle Guide/by David Marco (Author)
Description
"This is the first book to tackle the subject of meta data in data warehousing, and the results are
spectacular . . . David Marco has written about the subject in a way that is approachable, practical, and immediately useful. Building and Managing the Meta Data Repository: A Full Lifecycle Guide is an excellent resource for any IT professional." -Steve Murchie Group Product Manager, Microsoft Corporation
Meta data repositories can provide your company with tremendous value if they are used properly and if you understand what they can, and can't, do. Written by David Marco, the industry's leading authority on meta data and well-known columnist for DM Review, this book offers all the guidance you'll need for developing, deploying, and managing a meta data repository to gain a competitive advantage. After illustrating the fundamental concepts, Marco shows you how to use meta data to increase your company's revenue and decrease expenses. You'll find a comprehensive look at the major trends affecting the meta data industry, as well as steps on how to build a repository that is flexible enough to adapt to future changes. This vendor-neutral guide alsoincludes complete coverage of meta data sources, standards, and architecture, and it explores the full gamut of practical implementation issues.Taking you step-by-step through the process of mplementing a meta data repository, Marco shows you how to:
- Evaluate meta data tools Build the meta data project plan
- Design a custom meta data architecture
- Staff a repository team
- Implement data quality through meta data
- Create a physical meta data model
- Evaluate meta data delivery requirements
Information Science Reference (August 19, 2008)
PDF | 564 pages | English | 7.7mb(rar)
Selected Readings on Database Technologies and Applications/by Terry Halpin (Editor)
Education and research in the field of database technology can prove problematic without the proper resources and tools on the most relevant issues, trends, and advancements.
Selected Readings on Database Technologies and Applications supplements course instruction and student research with quality chapters focused on key issues concerning the development, design, and analysis of databases.
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