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Language: English
Published by Waltham, Morgan Kaufmann, 2012
ISBN 10: 0124158110 ISBN 13: 9780124158115
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Softcover. Condition: Neu. 1. Auflage. XV, 210 pages.
Paperback. Condition: Brand New. 1st edition. 232 pages. 9.00x8.00x1.00 inches. In Stock.
Language: English
Published by Morgan Kaufmann 2012-09-17, 2012
ISBN 10: 0124158110 ISBN 13: 9780124158115
Seller: Chiron Media, Wallingford, United Kingdom
Paperback. Condition: New.
Published by Waltham, Morgan Kaufmann,, 2012
Seller: Antiquariat Knacke, Berlin, Germany
Sprache: Englisch 210 Seiten. OriginalKarton. Schnitt mit altem Feuchtigkeitsrand. Sonst gut!
Language: English
Published by Elsevier Science & Technology, 2012
ISBN 10: 0124158110 ISBN 13: 9780124158115
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Taschenbuch. Condition: Neu. Using Open Source Platforms for Business Intelligence | Avoid Pitfalls and Maximize Roi | Lyndsay Wise | Taschenbuch | Englisch | 2012 | Elsevier Science | EAN 9780124158115 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Language: English
Published by Elsevier Science Sep 2012, 2012
ISBN 10: 0124158110 ISBN 13: 9780124158115
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Open Source BI solutions have many advantages over traditional proprietary software, from offering lower initial costs to more flexible support and integration options; but, until now, there has been no comprehensive guide to the complete offerings of the OS BI market. Writing for IT managers and business analysts without bias toward any BI suite, industry insider Lyndsay Wise covers the benefits and challenges of all available open source BI systems and tools, enabling readers to identify the solutions and technologies that best meet their business needs. Wise compares and contrasts types of OS BI and proprietary tools on the market, including Pentaho, Jaspersoft, RapidMiner, SpagoBI, BIRT, and many more. Real-world case studies and project templates clarify the steps involved in implementing open source BI, saving new users the time and trouble of developing their own solutions from scratch. For business managers who are hard pressed to indentify the best BI solutions and software for their companies, this book provides a practical guide to evaluating the ROI of open source versus traditional BI deployments. 232 pp. Englisch.
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The only book to provide complete coverage of all open source BI systems and tools specifically for business managers, without bias toward any OS BI suite A practical, step-by-step guide to implementing OS BI solutions that maximize ROI.
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Open Source BI solutions have many advantages over traditional proprietary software, from offering lower initial costs to more flexible support and integration options; but, until now, there has been no comprehensive guide to the complete offerings of the OS BI market. Writing for IT managers and business analysts without bias toward any BI suite, industry insider Lyndsay Wise covers the benefits and challenges of all available open source BI systems and tools, enabling readers to identify the solutions and technologies that best meet their business needs. Wise compares and contrasts types of OS BI and proprietary tools on the market, including Pentaho, Jaspersoft, RapidMiner, SpagoBI, BIRT, and many more. Real-world case studies and project templates clarify the steps involved in implementing open source BI, saving new users the time and trouble of developing their own solutions from scratch. For business managers who are hard pressed to indentify the best BI solutions and software for their companies, this book provides a practical guide to evaluating the ROI of open source versus traditional BI deployments.