Using Open Source Platforms for Business Intelligence

Using Open Source Platforms for Business Intelligence
Author :
Publisher : Newnes
Total Pages : 232
Release :
ISBN-10 : 9780124158764
ISBN-13 : 0124158765
Rating : 4/5 (765 Downloads)

Book Synopsis Using Open Source Platforms for Business Intelligence by : Lyndsay Wise

Download or read book Using Open Source Platforms for Business Intelligence written by Lyndsay Wise and published by Newnes. This book was released on 2012-11-23 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. 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 Comprehensive coverage of all open source systems and tools, including architectures, data integration, support, optimization, data mining, data warehousing, and interoperability Case studies and project templates enable readers to evaluate the benefits and tradeoffs of all OS BI options without having to spend time developing their own solutions from scratch


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