Cloud Storage and Big data analytics

\r\n Two fundamental technologies to enter into mainstream information technology are Big Data and cloud computing. Although these two are not the same; as Big Data represents content whereas cloud computing is infrastructure, the combination of both the technologies can yield excellent results. Thanks to cloud computing, Big Data can be processed on your computer systems and laptops quite comfortably. Let’s take a look at how exactly Big Data and cloud computing are compatible with each other and how beneficial are they for enterprises around the world.In order to understand why both the technologies are often bundled together, you need to have a basic understanding of what Big Data and cloud computing is.
\r\n The most straightforward definition of Big Data is that it’s a large volume of data- think terabyte or petabyte or even more than that. Data can be either structured or unstructured. This data can be so extensive that it cannot be processed through traditional database and software techniques. As for cloud computing, in the shortest term, it means storing and accessing data, files, and programs over the Internet instead of the local computer’s hard drive. The cloud is a metaphor for the Internet.
\r\n Through hardware virtualization, cloud computing provides the option of storing significant amounts of data with the help of scalability, fault tolerance and availability. This allows Big Data to be available, scalable and fault tolerant through cloud computing.

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  • Advantages of Big Data & Cloud computing
  • Conclusion

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