Title
Agile Analytics: A ValueDriven Approach to Business Intelligence and Data Warehousing (Agile Software Development Series),New
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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 platformagnostic 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 fastgrowing data volumes. Colliers techniques offer optimal value whether your projects involve backend data management, frontend 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 productionquality levels, including evolving superior designs; testdriven DW development; version control; and project automationCollier brings together proven solutions you can apply right nowwhether youre an IT decisionmaker, data warehouse professional, database administrator, business intelligence specialist, or database developer. With his help, you can mitigate project risk, improve business alignment, achieve better resultsand have fun along the way.
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This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
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- Q: What is the main focus of 'Agile Analytics'? A: 'Agile Analytics' focuses on applying Agile methodologies to data warehousing and business intelligence projects, helping teams innovate and deliver value effectively.
- Q: Who is the author of 'Agile Analytics'? A: The author of 'Agile Analytics' is Ken Collier, a pioneer in Agile practices.
- Q: How many pages does 'Agile Analytics' have? A: 'Agile Analytics' contains a total of 368 pages.
- Q: What is the publication date of 'Agile Analytics'? A: 'Agile Analytics' was published on July 27, 2011.
- Q: Is 'Agile Analytics' suitable for beginners? A: 'Agile Analytics' is suitable for both beginners and experienced professionals, offering insights into Agile practices tailored for data management projects.
- Q: What topics are covered in 'Agile Analytics'? A: 'Agile Analytics' covers Agile project management techniques, continuous delivery, test-driven development, version control, and team coordination.
- Q: What type of binding does 'Agile Analytics' have? A: 'Agile Analytics' is available in a paperback binding.
- Q: What edition of 'Agile Analytics' is currently available? A: The current edition of 'Agile Analytics' is the first edition.
- Q: What can I expect to learn from 'Agile Analytics'? A: Readers can expect to learn methods for managing analytics teams, mitigating project risks, and achieving better results in data warehousing and business intelligence.
- Q: Is 'Agile Analytics' a good resource for IT decision-makers? A: 'Agile Analytics' is an excellent resource for IT decision-makers, providing strategies to align business objectives with data management practices.