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What are the differences between "Big Data" and “Data Analytics”?
26 Feb, 2020

What are the differences between "Big Data" and “Data Analytics”?

In the present world where everything is digital, data is everywhere. For a fact, the amount of this digital data is growing rapidly at a surprising rate. Today, a new piece of information is created every second for every living human being on this planet. This makes it essential for you to at least know the basics of the field if you are from a technical background. And Big Data and Data Analytics are two such concepts that you need to be aware of being a tech hunter. 

 

What is Big Data?

It won’t amuse me if you have already built a definition of Big Data by its name. Have you? Let’s see whether or not you’re close to the actual definition!

Big Data basically stands for humongous volumes of data, both structured and unstructured, from diverse sources. Such data cannot be processed smoothly and effectively through traditional means. Hence, it requires more computing knowledge and power to store and analyze. For that, big data analytics tools are used by businesses. Big Data is usually deciphered through different digital channels, like that of, social media, mobile, internet, and more. If you are wondering about the use of Big Data in business - it is mostly used by businesses to first analyze the insights and to make a better decision on the basis of that. 

Businesses often used the process of visualisation for big data to get a better understanding of the data. The big data is presented in a graphical or pictorial format. This does nothing but makes it easy for the decision-makers to take in a huge volume of data and that too just at a glance. 

 

What is Data Analytics?

Data Analytics, on the other hand, is known to provide valuable insights into the business. For that, it contemplates historical data and out of it, it draws out inferences in order to find an effective solution to a particular business problem. Unlike Big Data architecture, Analytics architecture is conducted at a much more basic level. In the process, the data related to the business problem is scanned and analyzed keeping a specific objective in mind.

 

What is the Difference Between Big Data and Data Analytics?

Let’s make the difference between the two simple and sorted. Consider Big Data as a library and Data Analytics as a book. Now, you only visit a library when information or answer to your query is not available anywhere else. The same goes for Big Data. On the other hand, data analytics is more like a book; when you don’t have the answer, you just pick a particular and examine it to get the answer.

If we talk about the focused level, then Data analytics is more focused than Big Data. Instead of gathering a huge amount of unstructured data, data analysts keep a specific objective in their mind and examine through a relevant set of data. Whereas, big data requires a lot of filtering out in order to bring the most useful insights from it. 

Where big data use complex tools, like that of parallel computing and various other automation tools to get the work done, data analytics employs statistical and predictive modelling with relatively easier tools. This is another notable difference between the two. 

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By now, you must have known the difference between both Big Data and Data Analytics. If you still want to know more them (whether the difference between two or about both separately), then connect with Auxesis Infotech. Despite serving as a leading web design and development company, they also help businesses to get consultations about any query related to their field. Being a web agency, they also serve businesses with some unrivalled big data and API management solutions. If you need one, feel free to connect them! 

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