Data Warehouse Modeling White Paper 
Octopai
NOVEMBER 28, 2019
Once upon a time, almost all data had one shape, and it was a rectangle. For data structures that followed the relational database model, which relate to each other by “primary keys” and “foreign keys,” this approach worked well, as long as different databases didn’t have to “talk” to each other, at least not directly.
Jet Global
APRIL 2, 2019
Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. Which problems do disparate data points speak to? Enter data warehousing. Get Insight Now.
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Alation
MARCH 29, 2022
This led to the birth of separate systems for reporting: the enterprise data warehouse. For the first time, the focus of a system became business questions, where data was denormalized. The request model started to fray. To learn more about self-service, we recommend: White Paper: Self-Service Data Intelligence.
Birst BI
JANUARY 23, 2018
Many IT and data management professionals posit that a single central data repository, such as a large cloud data warehouse or a data lake, is the definitive “single version of the truth.” Download it to learn how to roll out common, reusable definitions across the enterprise in an agile way.
Jet Global
OCTOBER 7, 2020
Confusing matters further, Microsoft has also created something called the Data Entity Store, which serves a different purpose and functions independently of data entities. The Data Entity Store is an internal data warehouse that is only available to embedded Power BI reports (not the full version of Power BI).
Jet Global
AUGUST 14, 2019
Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. Download this white paper! And we can help! Want to know more about how BI feeds AI? Download Now.
Alation
MARCH 31, 2022
This technological shift placed computing power into the hands of the individual consumer — yet access to corporate data still resided with the “techies”. The Rise of the Data Warehouse. The birth of the enterprise data warehouse was heralded as the solution to limited access. You need to show them the “why to.”
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