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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 This blog was penned by guest blogger, Thibault Perier, Data Scientist from Astrakhan Innovation Management. A typical company manages many disparate data sources, representing volumes that are only growing larger over time (all whilst big data repositories expand in capacity…
Reading Time: 6 minutes The amount of data a company can manage these days is huge, but making use of these data for analytics and decision-making can be hard and expensive using traditional approaches.Traditional architectures like data warehouses and data lakes rely on storing…
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: 4 minutes It seems at present there is huge amount of hype on big data and the concept of a data lake related to data virtualisation. Already however there is confusion as to what a data lake is with multiple different definitions…
Reading Time: 2 minutes Anytime you hear the word data or big data, a constant stream of green numbers comes to your mind as in the movie, The Matrix. But there is more to data than that. Data can be structured or unstructured. Multi-structured…
