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Agile Data Warehousing for the Enterprise

Agile Data Warehousing for the Enterprise
  • Author : Ralph Hughes
  • Publsiher : Newnes
  • Release : 19 September 2015
  • ISBN : 0123965187
  • Pages : 562 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKAgile Data Warehousing for the Enterprise

Summary:
Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work illustrates the agile interpretations of the remaining software engineering disciplines: Requirements management benefits from streamlined templates that not only define projects quickly, but ensure nothing essential is overlooked. Data engineering receives two new "hyper modeling" techniques, yielding data warehouses that can be easily adapted when requirements change without having to invest in ruinously expensive data-conversion programs. Quality assurance advances with not only a stereoscopic top-down and bottom-up planning method, but also the incorporation of the latest in automated test engines. Use this step-by-step guide to deepen your own application development skills through self-study, show your teammates the world's fastest and most reliable techniques for creating business intelligence systems, or ensure that the IT department working for you is building your next decision support system the right way. Learn how to quickly define scope and architecture before programming starts Includes techniques of process and data engineering that enable iterative and incremental delivery Demonstrates how to plan and execute quality assurance plans and includes a guide to continuous integration and automated regression testing Presents program management strategies for coordinating multiple agile data mart projects so that over time an enterprise data warehouse emerges Use the provided 120-day road map to establish a robust, agile data warehousing program


Agile Data Warehousing for the Enterprise

Agile Data Warehousing for the Enterprise
  • Author : Ralph Hughes
  • Publisher : Newnes
  • Release : 19 September 2015
GET THIS BOOKAgile Data Warehousing for the Enterprise

Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work illustrates the agile interpretations of the remaining software engineering disciplines: Requirements management benefits from streamlined templates that not only define projects quickly, but ensure nothing essential is overlooked. Data engineering receives two new "hyper modeling" techniques, yielding data warehouses that can be easily adapted when requirements change without having to invest in ruinously expensive data-conversion programs. Quality assurance advances with not

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Agile Data Warehousing Project Management

Agile Data Warehousing Project Management
  • Author : Ralph Hughes
  • Publisher : Newnes
  • Release : 28 December 2012
GET THIS BOOKAgile Data Warehousing Project Management

You have to make sense of enormous amounts of data, and while the notion of “agile data warehousing might sound tricky, it can yield as much as a 3-to-1 speed advantage while cutting project costs in half. Bring this highly effective technique to your organization with the wisdom of agile data warehousing expert Ralph Hughes. Agile Data Warehousing Project Management will give you a thorough introduction to the method as you would practice it in the project room to build

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Agile Analytics

Agile Analytics
  • Author : Ken Collier
  • Publisher : Addison-Wesley
  • Release : 16 May 2022
GET THIS BOOKAgile Analytics

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

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Agile Data Warehousing for the Enterprise

Agile Data Warehousing for the Enterprise
  • Author : Ralph Hughes
  • Publisher : Anonim
  • Release : 16 May 2022
GET THIS BOOKAgile Data Warehousing for the Enterprise

Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work illustrates the agile interpretations of the remaining software engineering disciplines: Requirements management benefits from streamlined templates that not only define projects quickly, but ensure nothing essential is overlooked. Data engineering receives two new "hyper modeling" techniques, yielding data warehouses that can be easily adapted when requirements change without having to invest in ruinously expensive data-conversion programs. Quality assurance advances with not

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Agile Data Warehousing

Agile Data Warehousing
  • Author : Ralph Hughes
  • Publisher : iUniverse
  • Release : 16 May 2022
GET THIS BOOKAgile Data Warehousing

Contains a six-stage plan for starting new warehouse projects and guiding programmers step-by-step until they become a world-class, Agile development team. It describes also how to avoid or contain the fierce opposition that radically new methods can encounter from the traditionally-minded IS departments found in many large companies.

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Agile Data Warehouse Design

Agile Data Warehouse Design
  • Author : Lawrence Corr,Jim Stagnitto
  • Publisher : DecisionOne Consulting
  • Release : 01 November 2011
GET THIS BOOKAgile Data Warehouse Design

Agile Data Warehouse Design is a step-by-step guide for capturing data warehousing/business intelligence (DW/BI) requirements and turning them into high performance dimensional models in the most direct way: by modelstorming (data modeling ] brainstorming) with BI stakeholders. This book describes BEAM, an agile approach to dimensional modeling, for improving communication between data warehouse designers, BI stakeholders and the whole DW/BI development team. BEAM provides tools and techniques that will encourage DW/BI designers and developers to move away

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Extreme Scoping

Extreme Scoping
  • Author : Larissa T. Moss
  • Publisher : Technics Publications
  • Release : 01 September 2013
GET THIS BOOKExtreme Scoping

Do your business intelligence (BI) projects take too long to deliver? Is the value of the deliverables less than satisfactory? Do these projects propagate poor data management practices? If you screamed “yes” to any of these questions, read this book to master a proven approach to building your enterprise data warehouse and BI initiatives. Extreme Scoping, based on the Business Intelligence Roadmap, will show you how to build analytics applications rapidly yet not sacrifice data management and enterprise architecture. In

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The Kimball Group Reader

The Kimball Group Reader
  • Author : Ralph Kimball,Margy Ross
  • Publisher : John Wiley & Sons
  • Release : 01 February 2016
GET THIS BOOKThe Kimball Group Reader

The final edition of the incomparable data warehousing and business intelligence reference, updated and expanded The Kimball Group Reader, Remastered Collection is the essential reference for data warehouse and business intelligence design, packed with best practices, design tips, and valuable insight from industry pioneer Ralph Kimball and the Kimball Group. This Remastered Collection represents decades of expert advice and mentoring in data warehousing and business intelligence, and is the final work to be published by the Kimball Group. Organized for

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An Introduction to Agile Data Engineering Using Data Vault 2. 0

An Introduction to Agile Data Engineering Using Data Vault 2. 0
  • Author : Kent Graziano
  • Publisher : Anonim
  • Release : 22 November 2015
GET THIS BOOKAn Introduction to Agile Data Engineering Using Data Vault 2. 0

The world of data warehousing is changing. Big Data & Agile are hot topics. But companies still need to collect, report, and analyze their data. Usually this requires some form of data warehousing or business intelligence system. So how do we do that in the modern IT landscape in a way that allows us to be agile and either deal directly or indirectly with unstructured and semi structured data?The Data Vault System of Business Intelligence provides a method and approach

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Building a Scalable Data Warehouse with Data Vault 2.0

Building a Scalable Data Warehouse with Data Vault 2.0
  • Author : Dan Linstedt,Michael Olschimke
  • Publisher : Morgan Kaufmann
  • Release : 15 September 2015
GET THIS BOOKBuilding a Scalable Data Warehouse with Data Vault 2.0

The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures. "Building a Scalable Data Warehouse" covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of

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Choose your WoW

Choose your WoW
  • Author : Scott Ambler,Mark Lines
  • Publisher : Project Management Institute
  • Release : 01 July 2020
GET THIS BOOKChoose your WoW

Hundreds of organizations around the world have already benefited from DisciplinedAgile Delivery (DAD). Disciplined Agile (DA) is the only comprehensive tool kit available for guidance on building high-performance agile teams and optimizing your way of working(WoW). As a hybrid of all the leading agile and lean approaches, it provides hundreds of strategies to help you make better decisions within your agile teams, balancing self-organization with the realities and constraints of your unique enterprise context.The highlights of this handbook

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Data Warehousing Fundamentals

Data Warehousing Fundamentals
  • Author : Paulraj Ponniah
  • Publisher : John Wiley & Sons
  • Release : 07 April 2004
GET THIS BOOKData Warehousing Fundamentals

Geared to IT professionals eager to get into the all-importantfield of data warehousing, this book explores all topics needed bythose who design and implement data warehouses. Readers will learnabout planning requirements, architecture, infrastructure, datapreparation, information delivery, implementation, and maintenance.They'll also find a wealth of industry examples garnered from theauthor's 25 years of experience in designing and implementingdatabases and data warehouse applications for majorcorporations. Market: IT Professionals, Consultants.

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