How to manage big data without breaking the bank

In the tsunami of experimentation, investment, and deployment of systems that analyze big data, vendors have seemingly been trying approaches at two extremes—either embracing the Hadoop ecosystem or building increasingly sophisticated query capabilities into database management system (DBMS) engines.For some use cases, there appears to be room for a third approach that lies between the extremes and borrows from the best of each.…

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A guide to big data workload-management challenges

Traditional applications had a common platform that captured business transactions. The software pipeline extracted, cleansed and loaded the information into a data warehouse. The data warehouse reorganized the data primarily to answer questions that were known in advance. Tying the answers back into better decisions in the form of transactions was mostly an offline, human activity.…

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