Do Data Scientists Really Ask for Physical Data Lakes?
There is no discussion about the business value of a data lake for data scientists. Everyone understands that bringing all the data together in one place makes access to data easy and quick for data scientists. Studies have shown that…Read More
Shifting Towards a Logical Data Warehouse, in 4 Steps, Without Having to Close Shop
The logical data warehouse is the data architecture of the future — fast, flexible and ideal to support self-service BI. In the past year, I have published quite a lot regarding the architectural advantages of the logical data warehouse (read…Read More
The 3 Phases of Data Analysis: Raw Data, Information and Knowledge
Business competition is fiercer than ever, especially in the digital space. The only way to differentiate your business is by adding value through data analysis to better understand customers and adapt strategy for rapid success. This entry reviews the 3…Read More
Data Silos: Beat the Gremlins!
While companies focus on obtaining a holistic view of their data to make insight-driven decisions, chief data officers struggle with the uncontrollable growth of hundreds of data silos and different information systems that prevent them from delivering true business value….Read More
Myths in Data Virtualization Performance
Update: Interested in data virtualization performance? Check out our most recent blog posts, “Performance of Data Virtualization in Logical Data Warehouse Scenarios” and “Physical vs Logical Data Warehouse Performance: The Numbers.” The topic I probably get asked most about…Read More