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Getting the best from the ODS – Part One
The Siren Song These large-scale repositories of data span a number of business lines or functions, and slurp up data from many sources with the promise that it can be mined, analysed and monitored...
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Getting the best from the ODS – Part two
Simplify but don’t oversimplify First and foremost, we need to avoid the temptation to think of the data lake as a single homogenous unstructured mass of storage. In practice, the data lake is subject...
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Pattern: Downstream Structuring In classical data warehouses, the ETL process was responsible for both the physical import of data, and for structuring and standardizing it into a usable state. As ODS...
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Give your data scientists a platform for success
New data tools are introduced almost daily, existing tools have shot to the top, fallen back, then resurrected themselves as established players. Conferences and articles on big data, data analytics,...
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Invite Cybersecurity to the party!
But it seems to be taking on a life of its own as a standalone process, and that will ultimately prove counterproductive. Don’t Silo Security Protecting your information assets has never been more...
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Access to Accounts – the great security debate
Unfortunately the debate is not only about what is best for the customer, and which approach fits which use case, but also reflects vested interests of various industry players. Looking at three...
View ArticleBank’s Digital Epoch
With reference to Finextra’s article on 26th November, 2015, where former Barclays chief Anthony Jenkins predicted the ‘massive job cuts’ in Financial Institutions (FIs) and realisation of FIs’ ‘Uber...
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