Data Warehouse Modeling Reporting White Paper 
Alation
MARCH 29, 2022
In the 1970s, data was confined to mainframes and primitive databases. Reports required a formal request of the few who could access that data. The 1980s ushered in the antithesis of this version of computing — personal computing and distributed database management — but also introduced duplicated data and enterprise data silos.
Jet Global
OCTOBER 7, 2020
For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. What Are Data Entities?
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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. It All Starts with Data. Which problems do disparate data points speak to? Enter data warehousing. So how is the data extracted? Get Insight Now.
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
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. So how is the data extracted?
Alation
MARCH 31, 2022
Modern BI began when “data” became what we consider it to be today. New reports were initially based on a landscape of mainframes and required a formal request to the few who could access the data and steer the titanic machines to produce the results. The Rise of the Data Warehouse. Early Days. Final Thoughts.
Jet Global
OCTOBER 2, 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. So how is the data extracted?
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