The Industries such as Telecom, Retail, Finance, Healthcare, Banking, Energy and Automobile Sectors widely use Big data and its analytics and getting benefit in the current global market. Data volumes and data generation speed are significantly higher than it was before. All this new kind of data require a new set of technology to store, process and to make sense of data.
Predictive analytics improve fraud detection and speeds up claims processing. As a result of these, analytics gives more effective marketing, better customer service and new revenue generating opportunities in different industrial domains.
Comparing to traditional methods and approaches, the Big Data is adding so many features to present market trend in terms of sales and revenues. The Typical applications of these Big Data Analytics include weather predictions, Geospatial pattern recognition, Disaster management and Space Technology. One of the main functions of an ETL tool is to transform structured data. The transformation step is the most vital stage of building a structured data warehouse.
Most of the data generated by different sources are unstructured data and getting meaning full insights from this data is a Herculean task by using traditional data systems. The only way to find out meaning full information from it is used of BDA. Here are some of Areas in which Big Data and Analytics play Vital Role: (Some Facts)
- The Large Hadron Collider (LHC), when operational last year generated 1 GB of data every second
- A new Radio Telescope (called the Square Kilometer Array) is currently being built in the southern hemisphere. The SKA will produce 20,000 PB / day in the year 2020 (compared with the current internet volume of 300 PB / day).
- There are 4 engines on the Airbus A380, the double-deck; largest commercial airplane in the world. Each A380 engine generates 1 PB of data on a flight, for example, from London (LHR) to Singapore.
- Social Media Analytics and its Pattern Recognition Techniques.
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