Are you looking for the best data warehouse books? Based on expert reviews, we ranked them. We've listed our top-ranked picks, including the top-selling data warehouse books.
We Recommended:
- Morgan Kaufmann
- Linstedt, Daniel (Author)
- English (Publication Language)
- 688 Pages - 10/13/2015 (Publication Date) - Morgan Kaufmann (Publisher)
- John Wiley Sons
- Kimball, Ralph (Author)
- English (Publication Language)
- 600 Pages - 06/21/2013 (Publication Date) - Wiley (Publisher)
- How, Matt (Author)
- English (Publication Language)
- 304 Pages - 06/16/2020 (Publication Date) - Apress (Publisher)
- Wiley
- Ralph Kimball (Author)
- English (Publication Language)
- 528 Pages - 10/01/2004 (Publication Date) - Wiley (Publisher)
- Kimball, Ralph (Author)
- English (Publication Language)
- 464 Pages - 04/26/2002 (Publication Date) - Wiley (Publisher)
- Amazon Kindle Edition
- Linstedt, Dan (Author)
- English (Publication Language)
- 126 Pages - 05/20/2012 (Publication Date)
- John Wiley Sons
- Kimball, Ralph (Author)
- English (Publication Language)
- 672 Pages - 01/10/2008 (Publication Date) - Wiley (Publisher)
- Wiley
- Inmon, W. H. (Author)
- English (Publication Language)
- 576 Pages - 10/07/2005 (Publication Date) - Wiley (Publisher)
- Lawrence Corr (Author)
- English (Publication Language)
- 328 Pages - 11/24/2011 (Publication Date) - DecisionOne Press (Publisher)
- Wiley
- Kimball, Ralph (Author)
- English (Publication Language)
- 1800 Pages - 02/24/2014 (Publication Date) - Wiley (Publisher)
- Amazon Kindle Edition
- Adamson, Christopher (Author)
- English (Publication Language)
- 386 Pages - 12/10/2007 (Publication Date) - Wiley (Publisher)
- Hultgren, Hans (Author)
- English (Publication Language)
- 434 Pages - 11/16/2012 (Publication Date) - Brighton Hamilton (Publisher)
- Silvers, Fon (Author)
- English (Publication Language)
- 328 Pages - 09/25/2019 (Publication Date) - Auerbach Publications (Publisher)
- Used Book in Good Condition
- Inmon, W.H. (Author)
- English (Publication Language)
- 216 Pages - 11/12/2010 (Publication Date) - Technics Publications, LLC (Publisher)
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- Amazon Prime Video (Video on Demand)
- Laurent Lichtenstein (Director)
- English (Playback Language)
- English (Subtitle)
- Shrink-wrapped
- Audio CD – Audiobook
- English (Publication Language)
- 09/08/1993 (Publication Date) - Nonesuch (Publisher)
- Vicente Parra, Emma Cohen (Actors)
- Eloy De La Iglesia (Director)
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After hours of searching and using all the models on the market, we have found the best data warehouse books for 2023. See our ranking below!
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John Harvards has done the best we can with our thoughts and recommendations, but it’s still crucial that you do thorough research on your own for data warehouse books that you consider buying. Your questions might include the following:
- Is it worth buying an data warehouse books?
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How did we create this buying guide? We did it using a custom-created selection of algorithms that lets us manifest a top-10 list of the best available data warehouse books currently available on the market.
This technology we use to assemble our list depends on a variety of factors, including but not limited to the following:
- Brand Value: Every brand of data warehouse books has a value all its own. Most brands offer some sort of unique selling proposition that’s supposed to bring something different to the table than their competitors.
- Features: What bells and whistles matter for an data warehouse books?
- Specifications: How powerful they are can be measured.
- Product Value: This simply is how much bang for the buck you get from your data warehouse books.
- Customer Ratings: Number ratings grade data warehouse books objectively.
- Customer Reviews: Closely related to ratings, these paragraphs give you first-hand and detailed information from real-world users about their data warehouse books.
- Product Quality: You don’t always get what you pay for with an data warehouse books, sometimes less, and sometimes more.
- Product Reliability: How sturdy and durable an data warehouse books is should be an indication of how long it will work out for you.
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FAQ:
Q: What is data warehousing and why is it important?
A: Data warehousing is an increasingly important business intelligence tool, allowing organizations to: Ensure consistency. Make better business decisions. Improve their bottom line .
Q: How do you build a data warehouse?
A: In general, building any data warehouse consists of the following steps: Extracting the transactional data from the data sources into a staging area Transforming the transactional data Loading the transformed data into a dimensional database Building pre-calculated summary values to speed up report generation
Q: What is a modern data warehouse?
A: A modern data warehouse consists of multiple data platform types, ranging from the traditional relational and multidimensional warehouse (and its satellite systems for data marts and ODSs) to new platforms such as data warehouse appliances, columnar RDBMSs, NoSQL databases, MapReduce tools, and HDFS.
Q: What is a database warehouse?
A: A data warehouse is a relational database that is designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data, but it can include data from other sources.