The big thing in Big Data this year might not be the data, but the applications. It’s oxymoronic, I know, but it’s not the first time we’ve heard this. As I shared last year, SAP already contends that ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

LONDON--(BUSINESS WIRE)--Technavio analysts forecast the global Hadoop market to grow at a CAGR of more than 59% during the forecast period, according to their latest report. The research study covers ...

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 ...

Anyone who thought Hadoop was a fly-by-night technology was wrong. Hadoop has rapidly evolved—improving and gaining mainstream adoption as a technology and framework for enabling data applications ...

SAP’s recent acquisition of Altiscale Inc., a company that offers a cloud-based version of the Hadoop open-source software for storing, processing and analyzing many different data styles, gives SAP ...

Within enterprise data centers, Hadoop is a shiny new toy—the same place where the mainframe is sometimes thought of as a dinosaur. Yet the two have some things in common. Both are used as large scale ...

Where is big data heading? In 2013, I spent a lot of time talking about Hadoop's development towards being a central destination for data. Hadoop may enter an organization for a specific use case, but ...

Drowning in the volume, variety and velocity of Big Data, an increasing number of businesses and their IT managers are turning toward Hadoop and the rapidly expanding list of Hadoop-related ...

With Hadoop becoming a major source of data in the enterprise, it’s only natural for users to want analytics applications to be deployed where the data resides. With that goal in mind, Alteryx plans ...

It’s a pretty standard rule-of-thumb for successful IT organizations: Identify a compelling use case first, and then invest in the applicable technology. But what if the technology doesn’t exist yet?

Google and its MapReduce framework may rule the roost when it comes to massive-scale data processing, but there’s still plenty of that goodness to go around. This article gets you started with Hadoop, ...