Big amount of data Tag

What is Big Data?

In Official Blog, Tech-BLOG, Technical

Introduction:

            Big data is a term that describes the large volume of data ` both structured and unstructured ` that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves for any organizations or company.

History:

            While the term “big data” is relatively new, the act of gathering and storing large amounts of information for eventual analysis is ages old. The concept gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of big data as the three Vs:

1. Volume:-Organizations collect data from a variety of sources, including business transactions, social media and information from sensor or machine-to-machine data.
2. Velocity:-Data streams in at an unprecedented speed and must be dealt with in a timely manner.
3. Variety:-Data comes in all types of formats ` from structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data and financial transactions.

Why Big Data important?

The importance of big data doesn’t revolve around how much data you have, but what you do with it. You can take data from any source and analyze it to find answers that enable 1) cost reductions, 2) time reductions, 3) new product development and optimized offerings, and 4) smart decision making. When you combine big data with high-powered analytic, you can accomplish business-related tasks such as:

• Determining root causes of failures, issues and defects in near-real time.
• Generating coupons at the point of sale based on the customer’s buying habits.
• Recalculating entire risk portfolios in minutes.
• Detecting fraudulent behavior before it affects your organization

 

Who uses Big Data?

Today’s life we have large amount of information to gathering and storing but that doesn’t matter how much amount of data you have.

Below points shows where big data is important-

• Education
• Government
• Healthcare
• Banking
• Manufacturing
• Retail etc.

 

Awadhesh Kumar

Jain Software Developers