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Margy Ross

    Kimball's Data Warehouse Toolkit Classics, 3 Volume Set
    The Data Warehouse Toolkit
    The Kimball Group Reader
    • The Kimball Group Reader

      Relentlessly Practical Tools for Data Warehousing and Business Intelligence

      • 718 Seiten
      • 26 Lesestunden

      An unparalleled collection of recommended guidelines for data warehousing and business intelligence pioneered by Ralph Kimball and his team of colleagues from the Kimball Group. Recognized and respected throughout the world as the most influential leaders in the data warehousing industry, Ralph Kimball and the Kimball Group have written articles covering more than 250 topics that define the field of data warehousing. For the first time, the Kimball Group's incomparable advice, design tips, and best practices have been gathered in this remarkable collection of articles, which spans a decade of data warehousing innovation. Each group of articles is introduced with original commentaries that explain their role in the overall lifecycle methodology developed by the Kimball Group. These practical, hands-on articles are fully updated to reflect current practices and terminology and cover the complete lifecycle—including project planning, requirements gathering, dimensional modeling, ETL, and business intelligence and analytics. This easily referenced collection is nothing less than vital if you are involved with data warehousing or business intelligence in any capacity.

      The Kimball Group Reader
      4,4
    • This new edition enhances, extends, and clarifies the concepts and examples presented in the first edition. Topics have been restructured to coherently develop the data warehouse architecture.

      The Data Warehouse Toolkit
      4,2
    • Cowritten by Ralph Kimball, the world's leading data warehousing authority, this book delivers real-world solutions for the most time- and labor-intensive portion of data warehousing: data staging, or the extract, transform, load (ETL) process. It delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loading the end product into the data warehouse. It offers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality.

      Kimball's Data Warehouse Toolkit Classics, 3 Volume Set
      4,8