How to Increase Productivity and Test Coverage for Big Data Testing
Big data refers to any collection of large data sets, both structured and unstructured, that is difficult to process using traditional data processing applications or software tools. With big data becoming integral to ensuring the quality of enterprise applications, businesses need to ensure it is collected, curated, stored, analyzed, retrieved, and managed properly. In general, big data is characterized by properties such as volume, velocity, variety, veracity, variability, and value. These properties are explained as under: l Volume: The sheer size of data l Velocity: The ability of a system to create and transmit the data l Variety: The various types of data l Veracity: The quality and integrity of data l Variability: The frequency of changes in data flow l Value: The benefit of data to the business The importance of big data can be gauged from the fact that it offers enterprises critical insights about business trends, end-users, mark...