The Future of Data Processing at Real Time Data Management

The Future of Data Processing at Real Time Data Management

Today, an average worker sifts and process data 600% more compared to what an average worker works on twenty years ago. As this data processing is constantly changing, the need for real-time data management and application is also becoming more and more an integral part of any business environment. Volumes and rate of data that is being shared and transferred has continued to rise while the time needed to process them is getting shorter.

Real time data management is recognizing the power of connectivity and collection of data as it happens. Businessmen everywhere are trying to harness the power of real time data collection. This is true for a call center that wants to collect data from several systems or an office in Wall Street that wants to capture every stock that is being transacted among the 750,000 traders on every part of the world.

Data processing requirement really depends largely on the amount of data that a management center need. This could range from processors that can give good analyses of data that enables decision-makers to base judgment on relatively traditional terms or one that can process broad-spectrum analysis.

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The changes in real time management is fast as the application of real time statistics and information on international commerce that needs to be processed for more accurate decisions are constantly shifting. Presently more than 25% of all the volume that is traded is done programmatically. By 2008 volumes that are being done programmatically will increase to 40%.

Real time data management can be traced for sometime back although today the need for it makes it more common place.

To adopt to the future of real time data management computing requirements, database architects are aiming to design systems that could handle data changes at 50,000 times per second supported by 10 terabyte databases operating on near zero latency. This would not be happening very soon enough but anyone who wants to adjust to the coming age may want to make preparations today.

Application of technology that processes multiple streams of data that identifies meaningful events, processors that support automated trading, exploiting shared memory grids, employing event driven financial trading systems are just some of the business application you might want to start with.

Preparations to make bold and critical changes in the work place and starting to employ current technological advances may not make dinosaurs out of your competitors today but it can open up great possibilities for you and your business in the future.

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