How is Big Data transforming IT?
Big Data has many advantages for businesses, helping them to respond more quickly and gain deeper insights into their information to gain competitive advantage.
But it is also transforming IT as enterprises upgrade their data centres to prepare for Big Data – both handling it and applying analytics to glean valuable insights from it.
Compared with structured data, Big Data requires an optimised systems architecture that will enable businesses to handle and capitalise on it. In fact, realising the full potential of Big Data analytics requires a whole new approach to capturing, processing, analysing and visualising both unstructured and structured data.
This means having a data centre infrastructure that can scale up to cope with large, distributed, data intensive jobs. It also needs to be able to spread data-processing and analytics across clusters of servers. Servers based on Intel Xeon processors are ideal for Apache Hadoop clusters, which can efficiently handle large datasets.
Secondly, Big Data requires massive storage that is efficient and cost effective enough to capture and store terabytes, if not petabytes of data. The storage also needs to support intelligence capabilities that reduce your data footprint, such as data compression, automatic data tiering and data de-duplication.
Thirdly, a data centre that is ready to handle Big Data needs a robust network infrastructure. It has to be able to cope with large datasets that get imported quickly – because Big Data is generated in real time – and can then replicate it for processing.
Finally, Big Data-enabled systems require security capabilities that can protect highly distributed infrastructure and data.
Security is built into the Intel® Xeon™ processor that accelerates encryption for dramatically improved performance and better data protection. It also safeguards distributed infrastructure by building trust between servers.
Having the right data centre infrastructure in place will help you to make the most of Big Data.
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