>Data Serialization, Process Parallization!

>There is a lot of buzz around: going away from traditional data processing i.e., a relational database and persistent data in relational form being processed by a set of processes that capture, process (validate, summarize, re-format etc.,) and present (display on multiple format displays over multiple channels in verbal and multimedia formats) that data.

But where are we going? Object orientation of encapsulating data with its own operations to make loosely coupled application services those can be orchestrated to form business services with in an enterprise…. Those enterprise business services further choreographed to form a business to business flows across common interfacing models…

The traditional computer architecture that has a Processor that can process the data which is stored in a distinct Memory of the computer. The processor and memory are two distinct components of the basic architecture of the modern computer. When an “object” needs to be stored or shared between two different applications one should “serialize” we have Hibernate and JSON etc., formats developed for this data serialization…

At the same time, there is a trend that takes over to process the data more and more in parallel streams in the shared nothing style clusters to break the typical task into smaller pieces and summarize the results in a hierarchical fashion to arrive at final result. This can happen when the data becomes more and more unstructured with the help of objects!

Overall the trend means we are slowly going away from structured data stores in traditional relational databases and going nearer to natural language, fault tolerant and predictive data capture and processing (e.g., you can type any spelling on Google and it will return results for the right word!) and more visual and multimedia presentation of the information (in mashups, maps) with bi-directional interaction (like social, I can “like”, “comment” etc on the presented data as feedback!)

That is just my view…. Businesses have to gear-up quickly to adapt to these trends!

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