Defining the ‘Big’ in Big Data
Redefining ‘Big’ in Big Data – Action, Ideas and Results. Matthew Shoup of LinkedIn provides a wonderful set of ways to interpret the ‘Big’ in Big Data. It is not so much the quantity of data that is important for many companies but rather what is done with it. While having lots of data is great to enable analytics, getting big results, ideas and action out of less that big data is useful as well. Big Data technology for analytics and presentation can be used effectively even when the data collection is not big. Read more from his post.