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Top 5 reasons you need a Persistent Layer in your Data Warehouse

At Dimodelo, we have been hard at work, redesigning the Data Warehouse data management architecture that Dimodelo Data Warehouse Studio (our Data Warehouse Automation tool) generates. Working with our clients we have introduced a Persistent Layer into the data warehouse architecture. “What is a Persistent Layer?” I hear you ask. The persistent layer contains as…

Conversations with Data Warehouse Experts – Mark Tabladillo

In this episode, it is my pleasure to speak with Mark Tabladillo, Lead Data Scientist for Microsoft Services — Data and Artificial Intelligence (Chief Technology Office).  He works as part of a global team with Fortune 500 companies, global leading institutions, and high-tech startups toward digital transformation using advanced analytics.  Mark is passionate about educating…

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A Dimodelo Data Warehouse Automation Case Study Podcast

Talking Analytics Platform Services with Ashley Furniture’s Data Architect Phil Haddad, and Microsoft’s Principal Program Manager in the Azure SQL Data Warehouse team, Matt Usher.  In this podcast we discuss: Refractoring an exising data warehouse Automating data warehouse development in an enterprise environment with 700 applications Migrating to Azure Data Warehouse from PDW/APS The role Microsoft Partners…

Data Warehouse/Business Intelligence Requirements – How To ?

How do you gather requirements for a Data Warehouse/Business Intelligence project ? Typically, on a BI project, if you ask a business user, ‘what do you want’ you will get one of 2 responses. I don’t know. I want everything. Which are, effectively, the same thing… As much as it pains IT people to hear…