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Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence! The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever. It covers new and enhanced star schema dimensional modeling patterns, adds two new chapters on ETL techniques, includes new and expanded business matrices for 12 case studies, and more. Authored by Ralph Kimball and Margy Ross, known worldwide as educators, consultants, and influential thought leaders in data warehousing and business intelligence Begins with fundamental design recommendations and progresses through increasingly complex scenarios Presents unique modeling techniques for business applications such as inventory management, procurement, invoicing, accounting, customer relationship management, big data analytics, and more Draws real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, education, health care, insurance, e-commerce, and more Design dimensional databases that are easy to understand and provide fast query response with The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition . Review: Must have for data analysts - The book is a must have for anyone working with databases and particularly data warehousing. Lot of examples and strong exposure to data warehouse theory. The most recent edition I know about. Review: Excellent and perfect - Must read and practice








| Best Sellers Rank | 80,589 in Books ( See Top 100 in Books ) 17 in Database Management Systems (Books) |
| Customer Reviews | 4.6 out of 5 stars 756 Reviews |
A**A
Must have for data analysts
The book is a must have for anyone working with databases and particularly data warehousing. Lot of examples and strong exposure to data warehouse theory. The most recent edition I know about.
O**G
Excellent and perfect
Must read and practice
P**2
The go to manual
The go to book for datawarehousing.. Reads very well and each section has a bunch of relevant examples... Can't go wrong purchasing this...
J**N
Excellent, but.....
If you need this book then you need it and the content is excellent. However, the pages have not been cut properly. Several pages are longer than others and stick out like some sort of flap. If I did not need the book for its content, then I would return it. This experience has meant its 4 stars rather than 5.
P**O
This is THE book
If you work with Kimball's Business Intelligence methodology, you need to learn from the master! That's the way to go! Very easy to understand, definitely a must have!
N**N
Excellent 😊
The one and only book to buy as a Starter in Dimensional Modelling. Excellent 😊
J**R
Five Stars
never read this book but it looks good on my desk. 10/10
D**A
Buy it.
Excellent reference book, useful examples and guidance,
N**N
La biblia del modelado de datos
Este libro se le considera como la "biblia" del modelado de datos, al fin y al cabo, Kimball fue el padre del modelo de datos dimensional. Tiene unos capitulos introductorios donde se explican los conceptos básicos del modelado en general, para despues explicar los diferentes elementos del modelo dimensional y sus diferentes tipos. Ya más adelante, cada capítulo se centra en un área de negocio y presenta diferentes técnicas que se pueden aplicar a cada una de éstas áreas, con ejemplos de modelos y tal. También da consejos sobre que hacer y que no hacer en determinadas situaciones. El libro tiene su tiempo y algunos conceptos pueden estar un poco anticuados, pero siguen siendo uno de los pilares fundamentales del modelado de datos. Obviamente, el libro está en ingles y es necesario dominar el idioma para sacarle partido. Si quieres trabajar de modelador de datos, tienes alguna oferta de trabajo, o quieres profundizar en el tema, éste es tú libro.
A**I
Sempre il numero uno
Passano gli anni (Ralph Kimball ne ha quasi settanta e la prima edizione del libro è del 1996), ma questa nuova edizione è ancora un esempio di come dovrebbere essere scritto un libro di computer (o qualsiasi altro testo tecnico). Come per la seconda edizione, anche per questa terza non si tratta solo di un’operazione cosmetica: il testo contiene molti aggiornamenti, capitoli nuovi e reingegnerizzazioni che lo rendono ancora più valido e leggibile. Ad esempio, i tipi di slowly changing dimension descritti sono arrivati a 7 (dai 3 della prima edizione). Altra aggiunta utilissima il capitolo 2, che raccoglie un elenco di tutte le tecniche contenute nel libro con i concetti base e i rimandi alle trattazioni dettagliate. Quindi, riassumendo: fin dalla prima edizione questo era il testo di riferimento per chiunque volesse imparare come si progetta un data warehouse, adesso dopo 16 anni lo è ancora di più, essendo molto migliorato ed essendo nel frattempo le tecniche dimensionali diventate uno standard a livello globale. Chi voglia approfondire le tecniche dimensionali con altri esempi e ottime spiegazioni lo può eventualmente complementare con “Star schema: the complete reference” di Chris Adamson.
N**C
A must for data modelers!
Come on, it's Kimball! If you are a data architect/modeler, this is more than a must-read!
L**S
Livro de cabeceira para o profissional de BI.
Este livro tem uma leitura de fácil compreensão, o autor explica os conceitos do Data Warehouse e modelagem de dados dimensional de uma forma didática e com estudos de casos do mundo real, para tornar a experiência real e o mais aplicável possível. Esta é bíblia do BI, pois, a modelagem de Data Warehouse do Ralph Kimble é o mais bem aceito e usado internacionalmente, então, isto torna essencial a todo profissional de BI. A única crítica que faço desta obra é que o escritor se torna meio redundante ou prolixo na explicação de alguns conceitos, mas nada que tire o alto valor do livro.
D**L
Useful and good to read
Nice book!very useful for learning data
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