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According to Wikipedia, big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualisation, querying, updating and information privacy. The term often refers simply to the use of predictive analytics or certain other advanced methods to extract value from data and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making, and better decisions can result in greater operational efficiency, cost reduction and reduced risk.
In the digital world, connected devices and services powered by the cloud are generating a lot of data. Out of this data, insights are formed that is leading to innovation. It is also the driving force behind new services and businesses. This is helping organisations to stay ahead of the competition in an ever-changing business environment. It is a really big impact player in the dynamics of the business world.
Software-defined infrastructure (SDI) is the foundation for dynamic and agile IT operations. Spanning software, processor, storage, I/O and networking solutions, combined with solution partners are helping transform today’s data centre for every business. The range of services being offered is moving from big data analytics to cloud-powered innovation and network transformation.
How does big data help in the field of education?
Big data offers numerous benefits to both students and educational institutions. In fact, it is revolutionising the way education is managed. It reaches out to far more students than before, understands their educational experiences and helps them to study in new ways.
Using big data, students’ results can be analysed in real-time and help to gain a better understanding of their behaviour.
Customised and personalised programmes can be created for each and every student, even if their numbers are large.
Analysing student data can give educational institutions an insight on their performances, thus helping to reduce dropouts.
Big data also helps with international recruiting by way of analysing factors that affect the application process and trends of applicants around the world.
E-commerce businesses operate in a very competitive and fast paced environment. In a conventional and traditional world, they use analytics for individual data sources and information needs. This is done with a manual, human-driven process.
The challenges that e-commerce firms face are product pricing, advertising campaigns, product adoption, and discontinuation and stock levels (which product pricing should be lowered and which ones should be sold off, which product prices should be raised to increase profits etc.). In adopting big data, these businesses can be driven to make strategic decisions and can promise superior data-driven results.
Integrating the information from different data sources and providing it into one data pipeline can be achieved through Hive, Pig, Shell, Hadoop and Qubole.
Big data helps to get a complete picture of the consumer and is a very strong foundation for businesses to grow, to move forward and to make a difference.