Big Data
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Big Data
"Big data" is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Although big data doesn't equate to any specific volume of data, the term is often used to describe terabytes, petabytes and even exabytes of data captured over time.
Businesses use all of this data to create customized and improved experiences for all of us. There are billions of gigabytes of data being generated every single day by people and technologies all around the world. They use this data to figure out what kind of new drink people will like, or where would be a good place to open up a new store location.
The amount of uncertain data in an organization must be accounted for before it is used in big data analytics applications. IT and analytics teams also need to ensure that they have enough accurate data available to produce valid results.
Big Data is a term often applied by people to describe data sets whose size is beyond the capability of commonly used software tools to capture, manage, and process. The sheer size of the data, combined with complexity of analysis and commercial imperative to create value from it, has led to a new class of technologies and tools to tackle it.
Given that large amounts of data provide more reliable insights, storage is an integral part of a robust data management solution. Big Data storage refers to types of storage that can handle huge volumes of unstructured data. Disk storage is not well-suited for Big Data because of its cost, lack of scalability and latency issues. Therefore, shared storage in a cloud-based environment is a better option.