A comprehensive database optimization framework integrating connection pooling, distributed caching, and multi-layer encryption achieves ...

Big data is a moving target, and it comes in waves: before the dust from each wave has settled, new waves in data processing paradigms rise. Streaming, aka real-time / unbounded data processing, is ...

This online data science specialization is for software engineers interested in the principles of building and architecting large software systems that use big data. The first course introduces you to ...

Java devs looking to explore or work in data science may need another language up their sleeves. Python and R are common Java alternatives for data science. Continue Reading ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

If one of your goals in the New Year is to move toward using Big Data, then it’s time to move beyond the theoretical discussion to the nitty-gritty of implementations. That doesn’t mean you should ...

Enterprise architecture (EA) practitioners have a major role in ensuring their organizations maximize the business opportunities posed by big data, according to Gartner, Inc. Big data makes ...

One feature of the big data revolution is the acknowledgement that a single database management system architecture cannot meet all needs. For instance, if you need a system that can reliably process ...

Over the past decade, the data boom has created exciting strategic opportunities for adaptive companies and enabled the development of entirely new enterprises. This wave was the result of the ...