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
Big Data Explained, Including:
Use Cases, Best Practices, And How You Can Put It To Work. Today, Big Data has Become Capital. Learn How To Put Big Data To Work For Your Business. Data Science Solutions. Reduce Security Risks.
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. 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.
History of Big Data
The term “big data” refers to data that is so large, fast or complex that it’s difficult or impossible to process using traditional methods. The act of accessing and storing large amounts of information for analytics has been around a long time. But the concept of big data gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of big data as the three V’s:
Organizations collect data from a variety of sources, including business transactions, smart (IoT) devices, industrial equipment, videos, social media and more. In the past, storing it would have been a problem – but cheaper storage on platforms like data lakes and Hadoop have eased the burden.
With the growth in the Internet of Things, data streams in to businesses at an unprecedented speed and must be handled in a timely manner. RFID tags, sensors and smart meters are driving the need to deal with these torrents of data in near-real time.
Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, emails, videos, audios, stock ticker data and financial transactions.
Why Is 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
4) smart decision making.
When you combine big data with high-powered analytics, 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.One can easily learn and code on new big data technologies by just deep diving into any of the Apache projects and other big data software offerings.
- It is very difficult to master every tool, technology or programming language.
Learn Big Data
Depending on the specific position along with your skill and education level, big data jobs are very lucrative. Most pay in the range between $50,000 – $165,000 a year.Not only is big data a rewarding career that exposes you to the latest in technology, but it also provides a nice living for you and your family.
Learn Bigdata course in Pondy IT Trainng, Pondicherry