Data warehousing is an increasingly popular IT field and understanding the fundamentals of it can be key to success. This article provides readers with a comprehensive list of some of the best data warehousing books currently available, offering insight into topics such as relational databases, ETL tools, dimensional modeling techniques, and more. Whether you are looking for information on how to build a reliable data warehouse or just want to brush up on your knowledge base, these recommended titles provide valuable guidance for any aspiring data analyst.
The Data Warehouse Toolkit
Published in 2013
Ralph Kimball’s The Data Warehouse Toolkit is the definitive guide to dimensional modeling. Authored by Ralph Kimball and Margy Ross, this book provides comprehensive insight into how data warehouses work. It gives clear instructions for designing dimensional models that are easy to understand and deliver fast query response times. With real-world case studies from a variety of industries as well as two new chapters on ETL techniques, it offers an invaluable resource for anyone wanting to learn more about DW/BI systems. This third edition also presents unique modelling techniques applicable in many business scenarios such as inventory management, customer relationship management and big data analytics. Its professional yet accessible style makes it perfect for both those inexperienced with data warehousing and experienced professionals alike, making this a must read for anyone interested in learning more about the subject matter.
Data Warehousing Fundamentals for IT Professionals
Published in 2010
Data Warehousing Fundamentals for IT Professionals is an excellent resource for anyone in the field of data warehousing and business intelligence. The Second Edition has been updated to cover all essential fundamentals, as well as recent trends. This book provides a comprehensive overview of data warehousing along with step-by-step explanations on critical topics such as planning, design, deployment, and maintenance. It also includes techniques like extraction from source systems, cleansing, transformation and more. Additionally it discusses advanced subjects such as real-time information delivery, visualization methods, multi-tier architecture applications plus Web clickstream analysis appliances and mining techniques too. With review questions at the end of each chapter this makes for great self study or classroom use; industry examples are included alongside helpful appendices filled with valuable info! Data Warehousing Fundamentals offers thorough development principles written specifically for those responsible for designing or maintaining these types of systems – making it the perfect guidebook!
Kimball’s Data Warehouse Toolkit Classics
Published in 2014
Ralph Kimball’s Data Warehouse Toolkit Classics is an invaluable collection of three books by the renowned writer on data warehousing. This anthology provides readers with a comprehensive overview of Ralph Kimball’s pioneering dimensional modeling technique, detailing best practices for data warehouse project inception to ongoing program management and ETL (Extract, Transform, Load). The included titles are The Data Warehouse Toolkit 3rd Edition, The Data Warehouse Lifecycle Toolkit 2nd Edition and The Data Warehouse ETL Toolkit – each offering up-to-date advice as well as practical examples from basic to advanced techniques. An essential resource for any aspiring or established data analyst or warehouse developer; this edition contains timeless insight into reliable analytics operations.
Star Schema The Complete Reference
Published in 2010
Star Schema: The Complete Reference is an essential guide for those looking to learn and master fundamentals of dimensional design. Written by Christopher Adamson, founder of Oakton Software LLC, this book provides in-depth coverage on the principles behind dimensional designs with detailed examples that can be applied to any data warehousing project. It covers topics such as multiple stars or cubes, repeating attributes, recursive hierarchies and poor data quality as well as performance using derived schemas and aggregates. This comprehensive volume serves both beginners who are just starting out their journey into understanding star schema design but also experts looking for advanced tips and tricks related to development needs. Star Schema: The Complete Reference is a must read for anyone seeking expertise in understanding the complexities of modern day data warehouse architecture.
Building the Data Warehouse
Published in 2005
Building the Data Warehouse, by W. H. Inmon is an essential guide to data warehousing and provides readers with a comprehensive introduction to this increasingly important technology. The book covers both fundamental concepts as well as more advanced topics such as handling unstructured data in a warehouse, storing across multiple storage media and measuring return on investment in planning projects. It also examines the pros and cons of relational versus multidimensional design for successful implementation of the system. At over 400 pages long it includes up-to-date content from one of its pioneers at a reduced price making it great value for money. An invaluable resource for anyone looking to build or expand their knowledge about data warehouses, Building the Data Warehouse remains an indispensable bible in this field today.
Agile Data Warehouse Design
Published in 2011
Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema by Lawrence Corr and Jim Stagnitto is an essential book for data warehouse designers. This comprehensive guide provides step-by-step instructions on how to capture business intelligence requirements, turn them into high performance dimensional models, and develop a successful star schema. It outlines BEAM (Business Event Analysis & Modeling), an agile approach that encourages DW/BI designers to move away from their keyboards and model interactively with colleagues. In addition it tackles complex topics such as storytelling techniques using the 7Ws structure; visual modeling through timelines, charts and grids; design documentation with shorthand notation; plus many more helpful features all designed to improve efficiency in the industry. Whether you’re entry level or experienced, this informative read should be top of your list!
Data Warehousing For Dummies
Published in 2009
Data Warehousing For Dummies, 2nd Edition is an invaluable resource for understanding and implementing data warehouses. It provides a comprehensive overview of the subject matter that covers top-down and bottom-up approaches to designing a warehouse, the structure and technologies involved in creating one, best practices for development projects, how to involve users in testing processes, as well as offering insight into data mining techniques. This book is written with simplicity so that even those unfamiliar with this topic can grasp it quickly; making it ideal for non-tech savvy readers who need help getting up to speed on data warehousing solutions. Moreover, its utility surpasses just learning about these concepts since it also offers helpful advice when dealing with vendors and products related to this subject area. All in all Data Warehousing For Dummies stands out from other books due its accessible style which makes hard concepts easy understand—perfect for anyone looking get started on their journey towards mastering data warehousing technology!
Published in 2019
Google BigQuery is a comprehensive reference to the query engine that enables users to analyse large datasets quickly and easily. Authored by tech lead for Google Cloud Platform, Valliappa Lakshmanan, and engineering director of the BigQuery team Jordan Tigani, this book provides an invaluable resource on modern data warehousing within an autoscaled, serverless public cloud. It contains best practices for those who wish to explore parts of BigQuery they are unfamiliar with or focus on specific tasks. This practical guide offers knowledge about how to efficiently store, query and learn from their data in a convenient framework; detailed explanations; examples which illustrate key concepts; as well as tips and advice from experts. A must-have for all Big Query users – it will serve them well both now and into the future!
The Data Warehouse Lifecycle Toolkit
Published in 2008
The Data Warehouse Lifecycle Toolkit, by Ralph Kimball and colleagues, is a comprehensive guide to designing, developing and deploying data warehouse systems. This book has been updated since the original 1998 edition with more information on business intelligence solutions and the implementation of DW/BI systems that can adapt to changing organisational needs. It provides detailed steps for creating an efficient system which will deliver meaningful data analysis so users can make informed decisions. With 500 pages full of invaluable insight from industry professionals, this publication offers great value as well as being accessible to people without prior knowledge in the field. The authors provide numerous additional resources such as tools found on their website plus footnotes throughout each chapter offering extra detail about concepts discussed. Altogether this makes it a must-have reference work for any IT practitioner looking to stay up-to-date in today’s rapidly evolving world of data warehousing technology.
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
Published in 2002
This book, The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling by Ralph Kimball and his colleagues is an insightful guide into the world of dimensional modeling. Not only does it provide clear-cut guidelines for designing these models using real-world examples, but also offers a framework that integrates distributed data warehouse systems with standardized dimensions and facts. This book is perfect for those who have experience in logical data modelling as well as relational database design, providing them with powerful techniques to create databases that are both easy to understand yet fast in their query response times. It covers topics such as retail sales and e-commerce, inventory management, customer relationship management (CRM), human resources management, financial services and many more industries. Highly recommended for anyone looking to pursue this field!
The Data Warehouse ETL Toolkit
Published in 2004
The Data Warehouse ETL Toolkit, written by acclaimed data warehousing authority Ralph Kimball and Joe Caserta, provides a comprehensive guide to the extract, transform and load (ETL) phase of building a data warehouse. The book outlines best practices for extracting scattered sources into usable formats while ensuring accuracy and consistency in data quality. It offers time-saving techniques on how to plan, design and build an efficient system that can be tested before going live along with advice on tuning performance. This invaluable reference manual covers topics such as dimensional structures, error audit tables and bulk loading methods – all of which are essential elements for successful backend management of data warehouses. The authors provide helpful examples throughout the text so readers have greater insight into their adept insights about practical situations encountered during daily workflows. This is an indispensable handbook for anyone involved in ETL processes; it should be part of every IT professional’s library!