Machines are smart. As we now apply an increasing amount of Artificial Intelligence (AI) to our machines through increasingly sophisticated Machines Learning (ML) models, our
Organizations understandably want the innovation that comes with using open source data management tech, but how do you know when it’s too green for adoption?
Serving SQL queries on a petabyte of data is one thing, but delivering it at Facebook’s scale is something else entirely. Earlier this year, the
Creating a data strategy a decade ago was relatively easy compared to today. Back then, database experts debated the capabilities and performance of relational databases
The first iPhone was released on June 29, 2007. And while the advent of the iPhone was hardly the only catalyst of the smartphone revolution,
Considering that 80 percent of devices will be IoT devices, IoT has the greatest potential to advance society — a world where all kinds of devices are
What the Big Data vendors have to offer? Finally that the Big Data wars have pretty much ended, we have got Cloudera , MapR and
The Internet of Things (IoT) is transforming how individuals and organizations connect with customers, suppliers, partners, and other individuals. IoT is all about connecting
The idea of “rational” machines has always been part of the human imagination. As the field of artificial intelligence (AI) advanced, computational tools became more
GoDaddy, with its web hosting and Internet domain name registration businesses, ingests on a daily basis more than 13 terabytes of new, uncompressed data, everything
I’ve written a lot about NoSQL before, but one thing I haven’t addressed is how the major cloud providers have found it indispensable to their
Gartner recently published its first ever Magic Quadrant for Metadata Management Solutions. Managing metadata isn’t a new problem. Gartner’s Magic Quadrant research reports aren’t new,
