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Reading Time: 3 minutes When E.F. (Ted) Codd developed the relational model in the early 1970s, he had a dream. He wanted applications to be independent of the data storage and data access layer. Changes made to one should not lead to changes to…
Reading Time: 3 minutes The strength of Hadoop and NoSQL systems in supporting big data systems is indisputable. These big data technologies are designed, built, and optimized specifically for large-scale and high-performance environments. Their support for massively parallel hardware architectures and cheap commodity hardware…
Reading Time: 3 minutes Geospatial data and the data virtualization world Geospatial data is information about a physical entity that can be represented by a set of values in a coordinate reference system. This kind of data is today very commonly used for enriching…
Reading Time: 3 minutes Many organizations deploy data virtualization servers in business intelligence (BI) systems to integrate data sources. In fact, this is such a popular use case that some mistakenly think that BI is its only use case. From the start, data virtualization…
Reading Time: 6 minutes 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…
