Big Data and Big Data Analytics

Big data is the term used for data sets that are complex. Traditional data processing application cannot deal with these data sets. Big data refers to the use of predictive analysis or advanced data analytics methods that extract value from data.

Definition

Big data includes data sets with sizes beyond the ability of commonly used software tools to capture, manage and process data within an elapsed time. Big data “size” is a constantly moving target. A set of techniques and technologies with new forms of integration to reveal clear perception from datasets that are diverse, complex, and of a massive scale is the requirements for big data.

Characteristics

There are three characteristics that describe big data. “Volume” refers to the size of the data. It determines the value and is probably the most obvious consideration whether data is actually considered big data or not. “Variety” refers to the type and nature of the data. Big data can be drawn from a variety of formats like text, images, audio, and video. “Velocity” simply refers to the characteristic of big data that that pertains to its availability in real-time.

Significance

Big data analytics examines large amounts of data to unfold hidden patterns and insights. The technology that we have right now can immediately analyze your data and give you answers. The big data analytics give benefits like speed and efficiency. Big data analytics is highly important because it helps organizations make smarter business moves, more efficient operations, higher profits and happier customers.

Advantages

Big data technologies bring significant cost advantages when it comes to storing large amounts of data. Because of this, organizations can identify more efficient ways of doing business that translates to greater cost reduction. With the “velocity” of big data, faster and better decisions can be made. Analytics businesses are able to analyze information immediately and make decisions based on what they’ve learned. Moreover, it can help organizations develop new products and services. Through big data analytics, businesses can gauge customer needs and give customers what they want.

Here are all the information about the big data and big data analytics. Big data stores a large amount of data and through big data analytics these data are analyzed. These give benefits to the businesses.

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