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What is Big Data?

In other words, big data gets generated in multi-terabyte quantities. It changes fast and comes in varieties of forms that are difficult to manage and process using RDBMS or other traditional technologies. Big Data solutions provide the tools, methodologies, and technologies that are used to capture, store, search & analyze the data in seconds to find relationships and insights for innovation and competitive gain that were previously unavailable.

80% of the data getting generated today is unstructured and cannot be handled by our traditional technologies. Earlier, an amount of data generated was not that high. We kept archiving the data as there was just need of historical analysis of data. But today data generation is in petabytes that it is not possible to archive the data again and again and retrieve it again when needed as data scientists need to play with data now and then for predictive analysis unlike historical as used to be done with traditional.

Big Data – Learn What is Big Data and its Importance

1. Objective

This tutorial will answers questions like what is Big data, why to learn big data, why no one can escape from big data. We will also discuss why industries are investing heavily in big data, why professionals are paid huge in big data, why industry is shifting from legacy system to big data, why big data is the biggest paradigm shift IT industry has ever seen, why, why and why???

2. Why learn Big Data?

To get an answer for Why You should learn Big Data? Let’s start with what industry leaders say about Big Data:

# Gartner – Big Data is the new Oil.
#     IDC – Big Data market will be growing 7 times faster than the overall IT market.
#     IBM – Big data is not just a technology – it’s a Business Strategy for capitalizing on information resources.
#     IBM – Big Data is the biggest buzz word because technology makes it possible to analyze all available data.
#     McKinsey – There will be a shortage of 1500000 Big Data professionals by the end of 2018.

Industries today are searching new and better ways to maintain their position and be prepared for the future. According to experts, Big Data analytics provides leaders a path to capture insights and ideas to stay ahead in the tough competition.

3. What is Big Data Analytics?

So, What is Big data? Different publishers have given their own definition for Big data to explain this buzzword.

   According to Gartner – Big data is huge-volume, fast-velocity, and different variety information assets that demand innovative platform for enhanced insights and decision making.
   A Revolution, authors explain it as – Big Data is a way to solve all the unsolved problems related to data management and handling, an earlier industry was used to live with such problems. With Big data analytics, you can also unlock hidden patterns and know the 360-degree view of customers and better understand their needs.

4. Big Data Use-cases

After learning what is Big data analytics. Let us now discuss various use cases of Big data. Below are some of the Big data use cases from different domains:

   Netflix Uses Big Data to Improve Customer Experience
   Promotion and campaign analysis by Sears Holding
   Sentiment analysis
   Customer Churn analysis
   Predictive analysis
   Real-time ad matching and serving

Read about Big data Use cases in detail. https://data-flair.training/blogs/what-is-big-data/