Big data architecture and patterns, Part 1: Introduction to big data classification and architecture | Big Data + Libraries | Scoop.it

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.


Via Shiwon Cho, Sergeyan