<p>Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to h
Data Warehouse Design, Modern Principles and Methodologies
β Scribed by Matteo Golfarelli, Stefano Rizzi
- Publisher
- McGraw Hill
- Year
- 2009
- Tongue
- English
- Leaves
- 398
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to help
Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to help
<p><p>With this textbook, Vaisman and ZimΓ‘nyi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes βFundamental Concep
<p>This book introduces readers to the core principles and methodologies of product development, and highlights the interactions between engineering design and industrial design. It shows to what extent the two cultures can be reconciled, and conversely what makes each of them unique. Although the s
</header><div itemprop="description" class="collapsable text"><p>Data mapping in a data warehouse is the process of creating a link between two distinct data modelsβ (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every