Early adopters want tools, but the bulk of the market wants products. Big data doesn’t change this principle. It is natural that in the early stages the raw power of tools should be celebrated. That ...

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 ...

Organizations face obstacles in building effective unified environments, because these environments are difficult to deploy, and hard to manage with new types of data and multiple systems. Providing ...

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 ...

If your company isn’t a big data expert by now—well, you’re in good company. While the technology has been around for several years, it’s not a neatly packaged application anyone can just plug and ...

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 ...

After decades of struggling, organizations finally thought they had it all figured out: critical data could be maintained through a constellation of relational database management systems, abstracted ...

For the first interview of Day Three of BigDataSV Conference in Santa Clara, California, John Furrier and Jeff Frick welcomed John Schweitzer to theCUBE. John is the EVP of Field Operations with ...