With the evolution and growth of digital data, there’s been a trend of ‘Big Data’ – there’s no official definitions but there’s some industry rule-of-thumbs:
If you have to ask, you probably aren’t using it
But the non-whimsical and grounded definition is probably
data that is too complex/large to process with standard database management systems or traditional analytics.
There aren’t technical delineations amongst all big data – there are common characteristics:
- Volume - the most obvious is size. Users are generating immense amounts of data with their software and hardware – from obvious things like Facebook content and Tweets, to subtle things like application settings, playlists in the cloud, exercise tracking.
If you think about software written for a traditional company, it’s designed for access by hundred of thousands of employees at once – even then, the average case is significantly less than that (in the middle of the night, non-peak hours). While Google is an extreme example, the search engine processes billions of search queries daily.