Data Warehouse Project Management, Volume 1
In 'Data Warehouse Project Management', two of the world's leading data warehouse project management consultants present start-to-finish best practices for getting the job done right. Key Topics - Sid Adelman and Larissa Terpeluk Moss cover the entire lifecycle, from proposing a data warehouse project through staffing a team, developing project scope, justifying, negotiating, and marketing the data warehouse project internally, and then implementing the data warehouse. They present real-world case studies identifying the key pitfalls that arise repeatedly in data warehouse projects - and offer proven solutions for addressing these challenges. The book and CD-ROM contain an extensive library of templates and checklists, plus self-tests to determine whether an organization is really ready for data warehousing.
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able activities analysis application developers benefits budget business units Chapter complete cost Data Administration data architecture data cleansing data element data marts data quality data ware data warehouse database data warehouse environment data warehouse objectives data warehouse project database design decision support deliverables denormalization dirty data document ETL tool evaluation example extract/transform/load functions goals and objectives hardware identify impact implementation integrated interface involved logical data model marketing measure ment metadata Methodology number of users OLAP operational systems percent performance physical data model problems Project Agreement project manager project plan QJ QJ queries and reports query tool RDBMS repository requirements response risks roles schedule scope creep service level agreements skills source data source files specific sponsor star schema success target databases tasks team members technical tion types understand vendors warehousing