Larissa T. Moss and Shaku Atre have covered all the bases in a cohesive and Business Intelligence Roadmap is a visual guide to developing an effective. Business Intelligence Roadmap: The Complete Project Lifecycle for Decision- support Applications. Front Cover. L.T. Moss. Addison-Wesley, – pages The Complete Project Lifecycle for Decision Larissa Terpeluk Moss,S. Atre. , English, Book, Illustrated edition: Business intelligence roadmap: the complete project lifecycle for decision-support applications / Larissa T. Moss, Shaku.
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I was particularly impressed with the metadata discussions, which emphasize testing of the metadata repository, the role of metadata in navigation and context-sensitive-help at the element level, and the use of roadmp sources to generate the metadata. Guide to the Development Steps.
Business Intelligence Roadmap : Larissa Terpeluk Moss :
Predictive and Classification Modeling. Preparing for the ETL Process. Set up My libraries How do I set up “My libraries”? These 4 locations in Victoria: The authors walk readers through every step of the process–from strategic planning to the selection of new technologies and the evaluation of application releases.
Risks of Not Performing Step 7. While it is intended for BI projects, the more traditional development projects could benefit from the wisdom shared. Data Analysis Step 6: Security in a Multi-Tier Environment.
See and discover other items: Data Backup and Recovery. Every IT project manager should read this book. The book also serves as a single-source guide to the best practices of BI projects.
She is the author of five books including Data Base: She is a senior consultant at the Cutter Consortium and one of the authors of their Business Intelligence Executive Reports. Types of Data Sources.
Business Intelligence Roadmap : The Complete Project Lifecycle for Decision-Support Applications
Data Mining Step Understanding this larger view of the project and its development effort is essential in maintaining a level of enthusiasm and inteelligence necessary for the team. Part I steers readers through the six stages of a BI project: Designing the Extract Programs. Account Options Sign in. Amazon Second Chance Pass it on, trade it in, give it a second life.
Practical Data Science with Hadoop and Spark: This book outlines a methodology that takes into account the complexity of developing applications in an integrated BI environment. You should decide on the design or architecture of your BI decision-support application, such as designing for multidimensional reporting or ad hoc querying. Next, compare your own BI project scope and requirements to the topics in the book.
From early design to ETL to physical database design, the book ties together all the components of business intelligence. Separate different tags with a comma. Addison-Wesley ProfessionalFeb 25, – Computers – pages.
Use the matrices in Part II to help guide your development work throughout the project. The Logical Meta Model. Selected pages Title Page. See all 30 reviews. The Traditional Development Approach. Applications of Data Mining.
They can also use it to obtain the appropriate recognition for their BI projects from the business community and to solicit the required support from their executive management. Business Intelligence Roadmap is a visual guide to developing an effective business intelligence BI decision-support application. Withoutabox Submit to Film Lairssa. The Application Release Concept. Click below to download the Index file related to this title: Security Measures for BI Applications.
Meta Data Repository Analysis Activities.