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Agile Analytics {BBS}

Infohash:

47F30856EC1615E493D5D88E23AAB3197BE2E334

Type:

Other Ebooks

Title:

Agile Analytics {BBS}

Category:

Other/E-books

Uploaded:

2011-10-24 (by bigbluesea)

Description:

Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. However, conventional Agile methods must be carefully adapted to address the unique characteristics of DW/BI projects. In Agile Analytics, Agile pioneer Ken Collier shows how to do just that. Collier introduces platform-agnostic Agile solutions for integrating infrastructures consisting of diverse operational, legacy, and specialty systems that mix commercial and custom code. Using working examples, he shows how to manage analytics development teams with widely diverse skill sets and how to support enormous and fast-growing data volumes. Collier’s techniques offer optimal value whether your projects involve “back-end” data management, “front-end” business analysis, or both. * Part I focuses on Agile project management techniques and delivery team coordination, introducing core practices that shape the way your Agile DW/BI project community can collaborate toward success * Part II presents technical methods for enabling continuous delivery of business value at production-quality levels, including evolving superior designs; test-driven DW development; version control; and project automation Collier brings together proven solutions you can apply right now—whether you’re an IT decision-maker, data warehouse professional, database administrator, business intelligence specialist, or database developer. With his help, you can mitigate project risk, improve business alignment, achieve better results—and have fun along the way. See all Editorial Reviews Product Details * Paperback: 368 pages * Publisher: Addison-Wesley Professional; 1 edition (August 6, 2011) * Language: English * ISBN-10: 032150481X * ISBN-13: 978-0321504814

Tags:

  1. Agile Analytics
  2. Build Management
  3. Continuous Integration
  4. Data Warehousing
  5. Business Intelligence
  6. Pdf

Files count:

1

Size:

4.36 Mb

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