Big Data describes extremely large volumes of data (both structured and unstructured) that upon analysis can reveal patterns, associations, and trends in the data set. Big Data inundates business on a day-to-day basis. What enterprises do with this huge amount of data is far more important than the amount of data in itself. Big Data insights lead to better decision making and strategic business moves.

As Economist Ronald Coase puts it, “if you torture the data long enough, it will confess.” That’s what Data Visualization does but with the tools available today, it does it quickly. Data Visualization helps in getting an insight into data. It changes big boring data into a visually colorful storytelling. With the amount of data being generated every second, it is vital to envisage the data to trace trends, outliers, patterns and interact with it to make informed decisions. The need for Big Data visualization tools can be deduced from the fact that the global Business Intelligence and Analytics Software Market is expected to grow from $17.90 billion in 2014 to $26.78 billion by 2019, at a Compound Annual Growth Rate (CAGR) of 8.4%. The reason for its popularity is that it is easy to understand data visually contrary to understanding it through spreadsheets or numbers.

Want to know more about Big Data. Download our free eBook to know everything you need to know about this technology.

Data Mining refers to discovering valuable knowledge out of huge clusters of data to infer patterns. Data Mining is the result of the proliferation of Computing Technology which has enabled to collect, store and process humongous data. The Pre-processing, Data Mining and Results Validation are the three steps which lead to Knowledge Discovery In Database.