On Line Analytical Processing Systems by Robert Thierauf (18 results)

Cloth. Condition: Near Fine. No Jacket. First Edition, First Printing. Book has no writing or marking, xx, 332 pages.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: New. pp. 354 Index.

Condition: New. pp. 354 9:B&W 6 x 9 in or 229 x 152 mm Case Laminate on Creme w/Gloss Lam.

Condition: New. pp. 354, Abbreviations.

Hardcover. Condition: Fine. 352p. Westport, CT: Quorum Books, 1997.

Condition: New. In.

Condition: New. On-line analytical processing (OLAP) is an approach to information system technology which provides users with rapid retrieval of data from organizational databases and data warehouses. This text looks at the way OLAP works and its benefits to aid users in the public and private sectors. Num Pages: 352 pages, black & white illustrations. BIC Classification: KJMD; KJQ; UY. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 229 x 152 x 23. Weight in Grams: 689. . 1997. hardcover. . . . .

Condition: New. On-line analytical processing (OLAP) is an approach to information system technology which provides users with rapid retrieval of data from organizational databases and data warehouses. This text looks at the way OLAP works and its benefits to aid users in the public and private sectors. Num Pages: 352 pages, black & white illustrations. BIC Classification: KJMD; KJQ; UY. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 229 x 152 x 23. Weight in Grams: 689. . 1997. hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condition: Brand New. 332 pages. 9.75x6.50x1.25 inches. In Stock.

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HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condition: new. Hardcover. On-line analytical processing (OLAP) is clearly a new approach to information system technologyoffering a much-needed way to make informed decisions better and faster. One of its most important characteristics is multidimensional analysisanalysis that goes beyond the conventional two-dimensional analysis and provides users with rapid retrieval of data from organizational databases, data warehouses, or both. Not only that, but most importantly, says Dr. Thierauf, it allows users to look at different dimensions of the same data, thus enabling them to do analyses across departmental and even corporate boundaries. How it works and OLAP's many benefits to aid users in the public and private sectors is spelled out here, comprehensively yet concisely, and with the author's customary well-developed examples and clear prose. His book will be important reading for people at all levels of management and in all types of organizations.Another way of viewing OLAP is getting a typical company out of the custom-report-writing business and into the data-cube-server building business. An OLAP data structure can be thought of as a Rubik's Cube of data that users can twist and twirl in different ways to work through what-if and what-happened scenerios to get at the whys of the situation. Within an OLAP environment, the focus is on performing dictionary definition and maintenance as well as mapping flat files or relational columns to dimensions and measures. Although this may sound like a lot of work, managing one data cube is more efficient than writing a number of custom reports. Currently, some vendors provide administrative tools to get the data into the cubes in the first place, in the proper form, and on a regular basis. Hence, the job of managing data has been simplified for users. How it works and OLAP's many benefits to aid users in the public and private sectors is spelled out here. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Condition: new. Hardcover. On-line analytical processing (OLAP) is clearly a new approach to information system technologyoffering a much-needed way to make informed decisions better and faster. One of its most important characteristics is multidimensional analysisanalysis that goes beyond the conventional two-dimensional analysis and provides users with rapid retrieval of data from organizational databases, data warehouses, or both. Not only that, but most importantly, says Dr. Thierauf, it allows users to look at different dimensions of the same data, thus enabling them to do analyses across departmental and even corporate boundaries. How it works and OLAP's many benefits to aid users in the public and private sectors is spelled out here, comprehensively yet concisely, and with the author's customary well-developed examples and clear prose. His book will be important reading for people at all levels of management and in all types of organizations.Another way of viewing OLAP is getting a typical company out of the custom-report-writing business and into the data-cube-server building business. An OLAP data structure can be thought of as a Rubik's Cube of data that users can twist and twirl in different ways to work through what-if and what-happened scenerios to get at the whys of the situation. Within an OLAP environment, the focus is on performing dictionary definition and maintenance as well as mapping flat files or relational columns to dimensions and measures. Although this may sound like a lot of work, managing one data cube is more efficient than writing a number of custom reports. Currently, some vendors provide administrative tools to get the data into the cubes in the first place, in the proper form, and on a regular basis. Hence, the job of managing data has been simplified for users. How it works and OLAP's many benefits to aid users in the public and private sectors is spelled out here. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. An OLAP data structure can be thought of as a Rubik s Cube of data that users can twist and twirl in different ways to work through what-if and what-happened scenerios to get at the whys of the situation.&Uumlber den AutorRobert J. .

Buch. Condition: Neu. On-Line Analytical Processing Systems for Business | Robert J. Thierauf | Buch | Gebunden | Englisch | 1997 | Praeger | EAN 9781567200997 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - On-line analytical processing (OLAP) is clearly a new approach to information system technology-offering a much-needed way to make informed decisions better and faster. One of its most important characteristics is multidimensional analysis-analysis that goes beyond the conventional two-dimensional analysis and provides users with rapid retrieval of data from organizational databases, data warehouses, or both. Not only that, but most importantly, says Dr. Thierauf, it allows users to look at different dimensions of the same data, thus enabling them to do analyses across departmental and even corporate boundaries. How it works and OLAP's many benefits to aid users in the public and private sectors is spelled out here, comprehensively yet concisely, and with the author's customary well-developed examples and clear prose. His book will be important reading for people at all levels of management and in all types of organizations.Another way of viewing OLAP is getting a typical company out of the custom-report-writing business and into the data-cube-server building business. An OLAP data structure can be thought of as a Rubik's Cube of data that users can twist and twirl in different ways to work through what-if and what-happened scenerios to get at the whys of the situation. Within an OLAP environment, the focus is on performing dictionary definition and maintenance as well as mapping flat files or relational columns to dimensions and measures. Although this may sound like a lot of work, managing one data cube is more efficient than writing a number of custom reports. Currently, some vendors provide administrative tools to get the data into the cubes in the first place, in the proper form, and on a regular basis. Hence, the job of managing data has been simplified for users.