The Best agile data warehouse design of 2022 – Reviewed and Top Rated
After hours researching and comparing all models on the market, we find out the Best agile data warehouse design of 2022. Check our ranking below.
2,918 (random num) Reviews Scanned
- Lawrence Corr (Author)
- English (Publication Language)
- 328 Pages - 11/24/2011 (Publication Date) - DecisionOne Press (Publisher)
- Kimball, Ralph (Author)
- English (Publication Language)
- 608 Pages - 07/01/2013 (Publication Date) - Wiley (Publisher)
- Inmon, Bill (Author)
- English (Publication Language)
- 294 Pages - 10/12/2020 (Publication Date) - Technics Publications (Publisher)
- Lawrence Core (Author)
- English (Publication Language)
- 01/29/2014 (Publication Date) - VJ Public (BJ Public) (Publisher)
- Amazon Kindle Edition
- Hultgren, Hans (Author)
- English (Publication Language)
- 437 Pages - 03/22/2014 (Publication Date) - New Hamilton (Publisher)
- Graziano, Kent (Author)
- English (Publication Language)
- 50 Pages - 11/22/2015 (Publication Date) - Independently published (Publisher)
- Hughes, Ralph (Author)
- English (Publication Language)
- 562 Pages - 10/22/2015 (Publication Date) - Morgan Kaufmann (Publisher)
- Used Book in Good Condition
- Hughes, Ralph (Author)
- English (Publication Language)
- 366 Pages - 10/12/2012 (Publication Date) - Morgan Kaufmann (Publisher)
![[Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema] [By: Lawrence Corr] [November, 2011]](https://m.media-amazon.com/images/I/51-a45lrLhL._SL160_.jpg)
- Lawrence Corr (Author)
- English (Publication Language)
- 11/24/2011 (Publication Date) - DecisionOne Press (Publisher)
- Amazon Kindle Edition
- Linstedt, Dan (Author)
- English (Publication Language)
- 126 Pages - 05/20/2012 (Publication Date)
Last update on 2025-03-22 / Affiliate links / Images from Amazon Product Advertising API
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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 to learn data warehousing?
A: – Committing the time required to properly model your business concepts. Data warehouses are information driven. … – Planning and setting up your data orchestration. … – Maintaining or improving data quality by cleaning the data as it is imported into the warehouse.
Q: What are examples of data warehousing tools?
A: List Of Top Data Warehouse Tools CData Sync – An universal Cloud/SaaS data pipeline BiG EVAL -Data Quality Measuring and Assisted Problem Solving. QuerySurge – Smart data testing solution Xplenty – Advanced data pipeline platform Oracle – Data warehouse software Amazon Redshift – Cloud data warehousing service Panoply – A smart cloud data management solution More items…
Q: What is enterprise data warehousing?
A: In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence. DWs are central repositories of integrated data from one or more disparate sources.