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People are saying Big Data in Computer Science is very demanding in future for IT people. Any suggestion what exactly its based?
Big Data is the Future
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The volume of data organisations handle can progress from megabytes through to terabytes and even petabytes. In terms of velocity, data has gone from being handled in batches and periodically to having to be processed in real time. The variety of data has also diversified from simple tables and databases through to photo, web, mobile and social data, and the most challenging: unstructured data.
Every day, we create 2.5 quintillion bytes of data – so much, that 90% of data in the world today has been created in the last two years alone.
When data sets get so big that they cannot be analysed by traditional data processing application tools, it becomes known as ‘Big Data’.
As different companies have varied ceilings on how much data they can handle, depending on their database management tools, there is no set level where data becomes ‘big’.
This means that Big Data and analytics tend to go hand-in-hand, as without being able to analyse the data it becomes meaningless
Business analytics use fact-based data to measure past performance and stop small problems becoming big problems.
Customer analytics examine customer conversations to identify trends, gaps and capture sentiment; for example, on social media.
Consumption analytics track consumption of products and services; determining areas leading or lagging in adoption, or the use of product features
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@James Allen. Thanks alot for your reply!
Well done with your great Speech :)