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Scoop.it!
We live in exponential times, where new technological inventions are followed rapidly by innovative applications for consumers and businesses. The common denominator with all of these new applications is that they are generating vast amounts of data. Data that is both structured as well as unstructured and that require analyses to make use of it. This is called Big Data and in the past decade we have moved from primarily structured data to unstructured data. 
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Scoop.it!
Big data architecture and patterns, Part 1: Introduction to big data classification and architecture
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
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