Using Open Source Platforms for Business Intelligence: Avoid Pitfalls and Maximize ROI (Paperback)
Lyndsay Wise
- 出版商: Morgan Kaufmann
- 出版日期: 2012-09-17
- 定價: $1,400
- 售價: 8.5 折 $1,190
- 語言: 英文
- 頁數: 232
- 裝訂: Paperback
- ISBN: 0124158110
- ISBN-13: 9780124158115
-
相關分類:
大數據 Big-data
立即出貨 (庫存 < 3)
買這商品的人也買了...
-
$490$382 -
$1,650$1,568 -
$820$648 -
$590$460 -
$1,700$1,615 -
$800$600 -
$520$411 -
$560$437 -
$399$339 -
$750$638 -
$550$468 -
$580$458 -
$450$383 -
$580$458 -
$780$663 -
$950$808 -
$580$458 -
$680$578 -
$680$544 -
$380$342 -
$400$316 -
$580$452 -
$450$356 -
$480$408 -
$1,130$961
相關主題
商品描述
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
商品描述(中文翻譯)
開源商業智能(BI)解決方案相較於傳統專有軟體具有許多優勢,從提供更低的初始成本到更靈活的支援和整合選項;然而,直到現在,還沒有一本全面指南介紹開源商業智能市場的完整解決方案。作者Lyndsay Wise以IT經理和業務分析師為對象,不偏袒任何商業智能套件,介紹了所有可用的開源商業智能系統和工具的優點和挑戰,讓讀者能夠找到最符合其業務需求的解決方案和技術。Wise對市場上的開源商業智能和專有工具進行了比較和對比,包括Pentaho、Jaspersoft、RapidMiner、SpagoBI、BIRT等等。實際案例和專案範本清楚說明了實施開源商業智能所涉及的步驟,為新用戶節省了開發自己解決方案的時間和麻煩。對於急於找到最佳商業智能解決方案和軟體的業務經理來說,本書提供了一個實用指南,評估開源與傳統商業智能部署的投資回報率。
本書是唯一一本針對業務經理提供完整涵蓋所有開源商業智能系統和工具的書籍,不偏袒任何開源商業智能套件。
本書提供了一個實用的、逐步指南,實施開源商業智能解決方案以最大化投資回報率。
本書全面介紹了所有開源系統和工具,包括架構、數據整合、支援、優化、數據挖掘、數據倉儲和互操作性。
案例研究和專案範本使讀者能夠評估所有開源商業智能選項的利益和權衡,而無需花時間從頭開發自己的解決方案。