Big Data and Hadoop

Big Data and Hadoop

TSYS US mission is to provide the right resources at the right time to our clients.

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Big data technology opportunities

TSYS US identify the business problem and opportunities, Our IT team help customers select and deploy the proper technologies.

Big data is like any other data in many respects; however,it tends to get put into different platforms than what companies may be used to, this includes Hadoop and SQL databases, which are scaled-out architectures with nodes.Clients are more geared toward the needs of data that will accumulate rapidly and have less value per capita.As these new structures enter the IT environment, Clients bring with them a learning curve.

“The people who are buying 100 [terabytes] [of storage capacity] yesterday will buy 1,000 [TB] tomorrow,and that’s exciting in and of itself, but the really exciting opportunity is on the services side, where IT channel companies are approaching big data as solution providers.

Apache Hadoop

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Big data is like any other data in many respects; however,it tends to get put into different platforms than what companies may be used to, this includes Hadoop and SQL databases, which are scaled-out architectures with nodes.Clients are more geared toward the needs of data that will accumulate rapidly and have less value per capita.As these new structures enter the IT environment, Clients bring with them a learning curve.

“The people who are buying 100 [terabytes] [of storage capacity] yesterday will buy 1,000 [TB] tomorrow,and that’s exciting in and of itself, but the really exciting opportunity is on the services side, where IT channel companies are approaching big data as solution providers.

MapReduce is able to scale up the volume of data without significantly affecting the performance due to the fact that both, the storage and processing of data is not centralized in a large database server, but distributed in a scalable network of low cost commodity servers.

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