Editorial Reviews. From the Back Cover. "If you are looking for a complete treatment of Project Lifecycle for Decision-Support Applications (Addison- Wesley Information Technology Series) eBook: Larissa T. Moss, Shaku Atre: site Store. Larissa T. Moss and Shaku Atre have covered all the bases in a cohesive and logical order, making it easy for the reader to follow their line of thought. From early design to ETL to physical database design, the book ties together all the components of business intelligence.". LibraryThing Review. User Review - Fouad_Bendris - LibraryThing. With the introduction of Big Data - I was looking for nice introduction book around Business.
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Read "Business Intelligence Roadmap The Complete Project Lifecycle for Decision-Support Applications" by Larissa T. Moss available from Rakuten Kobo. The NOOK Book (eBook) of the Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications by Larissa. The eBook edition contains the same content as the print edition. Business Intelligence Roadmap is a visual guide to developing an effective.
The authors conclude by crystallizing their many years of experience in a list of dos, don'ts, tips, and rules of thumb.
Both the book and the methodology it describes are designed to adapt to the specific needs of individual stakeholders and organizations. The book directs business representatives, business sponsors, project managers, and technicians to the chapters that address their distinct responsibilities.
The framework of the book allows organizations to begin at any step and enables projects to be scheduled and managed in a variety of ways.
Business Intelligence Roadmap is a clear and comprehensive guide to negotiating the complexities inherent in the development of valuable business intelligence decision-support applications.
This book Larissa Moss is founder and president of Method Focus, Inc. She is a frequent lecturer and speaker at conferences in the United States, Europe, and Asia on data warehousing, project management, development methodologies, and organizational and cultural issues. She is a senior consultant at the Cutter Consortium and one of the authors of their Business Intelligence Executive Reports. The drastic commitments of these members and films have in Part in their registry to play a two-year critic.
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Guidelines for Prototyping. Skills Survey. Application Prototyping Activities. Risks of Not Performing Step 6. Step 7: Meta Data Repository Analysis. The Importance of Meta Data. Meta Data Categories. Meta Data Repository as Navigation Tool. Data Standardization. Meta Data Classifications. Groupings of Meta Data Components.
Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications
Prioritization of Meta Data Components. Meta Data Repository Challenges. Technical Challenges. Staffing Challenges. Budget Challenges.
Usability Challenges. Political Challenges. The Logical Meta Model. The Entity-Relationship Meta Model. Meta-Meta Data.
Meta Data Repository Analysis Activities. Risks of Not Performing Step 7. Step 8: Database Design. Differences in Database Design Philosophies. Operational Databases.
BI Target Databases. Logical Database Design. The Star Schema. The Snowflake Schema. Physical Database Design. Implementation Options.
Physical Dataset Placement. Backup and Recovery. Parallel Query Execution. Database Design Activities. Risks of Not Performing Step 8. Step 9: Implementation Strategies.
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Preparing for the ETL Process. The Initial Load. The Historical Load.
The Incremental Load. Designing the Extract Programs. Designing the Transformation Programs. Source Data Problems. Data Transformations. Designing the Load Programs. Referential Integrity. The Source-to-Target Mapping Document. The Staging Area.
Evaluating ETL Tools. ETL Design Activities. Risks of Not Performing Step 9. Step Meta Data Repository Design. Meta Data Silos.
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Sources of Meta Data. Meta Data Repository Solutions. Centralized Meta Data Repository. Decentralized Meta Data Repository. Designing a Meta Data Repository. Entity-Relationship Design. Object-Oriented Design. Licensing downloading a Meta Data Repository. Product Evaluation. Vendor Evaluation.
Meta Data Repository Design Activities. Risks of Not Performing Step Source Data Transformation. Data Transformation Activities.
Underestimating Data Transformation Efforts. Calculating Reconciliation Totals.
Storing Reconciliation Statistics. Peer Reviews. ETL Testing. Unit Testing. Integration Testing. Regression Testing. Performance Testing. Quality Assurance Testing. Acceptance Testing.
Formal Test Plan. ETL Development Activities. Application Development. Online Analytical Processing Tools. Multidimensional Analysis Factors. Multivariate Analysis. Online Analytical Processing Architecture. Presentation Services. OLAP Services. Database Services. Development Environments. Application Development Activities.
Data Mining. Defining Data Mining. The Importance of Data Mining. Data Sources for Data Mining. Data Mining Techniques. Associations Discovery. Sequential Pattern Discovery.Personnel Utilization. Designing a Meta Data Repository. 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. Visibility Others can see my Clipboard.
Cleansing Operational Systems. Technical Infrastructure Evaluation. Data Analytics. Underestimating Data Transformation Efforts. Part II provides five matrices that serve as references for the development process charted in Part I.