Big Data Security Analytics FAQ
While big data security analytics content varies from discussion to discussion, I consistently come across a lot of misunderstanding around the topic as a whole. This is understandable since “big data” is really a marketing term that the industry has ...
3 key differences between big data and analytics
Organizations around the world and across various industries are employing the philosophies of big data in order to gain more insight into their business and improve processes. However, it is not rare for many executives to wonder if big data ...
DevOps can take data science to the next level
Big data is all about advanced analytics at extreme scales. Data scientists are, among many things, one of the key application developers for this new age. Quite often, the statistical models they build become production assets that must scale with ...
How Small Data Can Also Be Big Data
Gartner’s definition of big data dates back from 2001, when Doug Laney defined big data as increasing volume (amount of data), velocity (speed of data in and out), and variety (range of data types and sources). Since then the term ...
Big Data and Decision Management Systems-The Impact of Variety
Big Data involves adding more types of data, from more sources inside and outside of the organization, to your analytic toolkit. Social, mobile, local and cloud data sources are exploding and organization must find ways to take advantage of these ...