Hadoop or NoSQL? It's not "either-or". It's both. It's Hadoop and NoSQL. Hadoop is the be-all and end-all platform for big data analytics. NoSQL is the go-to database technology for enterprise web, ...

Hadoop and NoSQL databases share some similarities, but the platforms typically live within different levels of the big data spectrum. Now MapR Technologies is working to break those barriers down by ...

Not long ago, the rules for what constituted a data warehouse were fairly well defined. The schema was fixed, you could say, and was based primarily on relational database technology designed to ...

Document databases are an integral part of the application stack, but they often have scalability issues and they tend to end up off to the side of the Hadoop systems that are increasingly being used ...

While Hadoop, a platform for big data analytics, and NoSQL, a database technology for enterprise, web, mobile, and IoT applications, may seem different, they do complement each other. In a recent DBTA ...

NoSQL database provider Couchbase and Cloudera developed a Hadoop connector that fuses together the advantages of both the companies’ offerings. The Couchbase Hadoop Connecter leverages the Apache ...

In this special guest feature, Matt Asay from 10gen writes that the move to Big Data means plenty of IT jobs for people with the right skills. The rise of Big Data has pushed companies to desperately ...

Breaking down data silos is a challenge enterprises have been trying to overcome for years. Hadapt, a Cambridge, Mass.-based start-up that grew out of work by co-founder Dr. Daniel Abadi at Yale, has ...

diginomica is largely a business focused technology property. We are less concerned with the minutiae of the technology and lean more towards what it delivers. But in recent weeks, we've been spending ...

The demand for job skills related to data processing — NoSQL, Apache Hadoop, Python, and a smattering of other such skills — has hit all-time highs, according to statistics collected by tech job site ...

There is a lot of data out there, and much of it doesn’t need to be stored in heavyweight relational databases, with complex query languages. That is particularly true of modern cloud applications and ...

It's about time: More than 10 years after we first heard the term, "big data" has become productive. The world’s largest enterprises — Apple, Wal-Mart and countless others — run large-scale data ...