Journal: Real-Time Analytics, Bye to SQL, Oracle, SAP

InfoOps (IO), Methods & Process, Technologies

logo cloud computing journalCloud Analytics: Dataflow versus Databases

Realtime analytics drives a migration away from databases to more scalable parallel dataflow architectures.

Bill McColl, 29 October 2009

Over the past year or so, a new movement, the “NoSQL” movement has emerged promoting the advantages of doing a variety of kinds of analytics without using any relational database technologies at all.

Whatever one thinks of the capabilities and limitations of distributed key-value stores relative to relational databases, one thing is clear – the stranglehold that SQL has held over all aspects of data analytics since 1990 is now coming to an end. Other non-SQL approaches to analytics such as MapReduce/Hadoop, a very simple dataflow architecture for batch computing, are now gaining ground. As the need for realtime analytics grows we will continue to see a migration away from databases and towards more scalable parallel dataflow architectures for analytics.

Phi Beta Iota: We accept “Real-Time Analytics” as an appropriate term and in lieu of the improper use of “Real-Time Intelligence.”  As the Information Communications Technologies (ICT) industry matures, machine-speed anf “real-time” analytics will be mandatory for both the sciences and the humanities.  See these other related Journal entries:

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Reference: Cloud Computing 1.0 25 Sep 09

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