How Startups are Coping with Data Flood
Data of all kind is being increasingly accumulated on the web by millions of people who are embracing ‘technology’ and new style of working.
Unlimited data is virtually stored on the internet and with the rise of Web 2.0 services such as social networking, blogging, cloud computing etc companies have started to struggle in coping up with costly and complex networks of server computers.
Many tech startup founders believe that they have ‘almost’ reached breaking point. Companies don’t really have the money to keep buying servers, hire people to manage them or build huge facilities to keep, power and cool them.
Startup companies have found out ways to deal with this issue. Server efficiency has definitely and massively increased with virtualization of data but tech companies are still finding ways to make this better. Various methods are adopted by tech companies to reduce the number of servers and increase their efficiency. For example; using flash memory instead of traditional spinning (the way songs are stored in iPods) is one of the methods used by Fusion-io Inc
While some companies focus on server efficiency, others concentrate on networking gears that moves data from one machine to another. Datacenters need better quality and faster networks which can handle over-burdened servers.
Companies are also looking out for ways on how to structure the vast amount of data and figuring out ways in which they can used more effectively by businesses and consumers. Restructuring data, providing information and changing the database architecture is the next target market for tech startups.
For more information on how startups are coping up and taking advantage of the data flood we suggest you read this post on Wall Street Journal
Azul Systems Inc., No. 6, and Schooner Information Technology Inc., No. 34, build specialized servers for specific datacenter software programs, which they say perform significantly better than general-purpose servers.


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