Big data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast, or doesn’t fit the strictures of your database architectures. To gain value from this data, you must choose an alternative way to process it.
Big Data analysis is helping organizations better analyze their customers, predict the competitive landscape and plot out emerging trends before they go mainstream — all of which helps companies maintain a competitive edge.

Big data can be stored, acquired, processed, and analyzed in many ways. Every big data source has different characteristics, including the frequency, volume, velocity, type, and veracity of the data. When big data is processed and stored, additional dimensions come into play, such as governance, security, and policies. Choosing an architecture and building an appropriate big data solution is challenging because so many factors have to be considered.

Path To Progress has successfully architected and implemented Big Data projects for its clients. Contact us to see how we can help you do the same.