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, ...
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 ...
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 ...
Oracle heeft op zijn OpenWorld-conferentie in San Francisco software aangekondigd voor het verwerken van grote hoeveelheden data. Daaronder zijn een eigen NoSQL-database, gebaseerd op Berkeley DB, en ...
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 ...
Today's experimentation provides some clues to the enterprise NoSQL applications that will emerge built on Hadoop, Cassandra and similar platforms. Billy Bosworth, CEO of DataStax, took his audience ...
Live from O’Reilly Strata Conference and Hadoop World: MapR M7 brings enterprise-grade reliability and performance to HBase, adding integrated snapshots, mirroring, instant recovery, and delivering ...
Apple is looking for a Hadoop administrator to help “redefine” adverting on mobile devices. TripAdvisor needs a software engineer to build out its bigger than 25 terabyte database. Nokia seeks an ...
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 ...
NoSQL and Hadoop—two foundations of the emerging agile data architecture—have been on the scene for several years now, and, industry observers say, adoption continues to accelerate—especially within ...