Organizations are inundated with data – terabytes and petabytes of it. To put it in context, 1 terabyte contains 2,000 hours of CD-quality music and 10 terabytes could store the entire US Library of Congress print collection. Exabytes, zettabytes and yottabytes definitely are on the horizon. More>>

The landscape of Enterprise data is changing with the advent of Enterprise Social Data, IoT, logs, click-streams. The data is too big, moves too fast, or doesn’t fit the strictures of current database architectures. As Forrester points out, “with growing data volume, increasing compliance pressure, and the revolution of big

In the last several years, Hadoop has evolved into an excellent and mature batch processing framework which handles the volume, veracity and variety of Big Data. However, many use cases across various domains need to handle the velocity of Big Data that Hadoop simply is not suited to handle. These

Hadoop came to prominence because of its economical storage of data and the bulk processing capabilities it provided for extremely large data sets. Quite recently, there has been considerable interest and experimentation in applying Hadoop to data streaming applications. This has been provoked partly by the fact that Hadoop has

MapR has also done more than any other distribution vendor under the covers of Hadoop to deliver a reliable and efficient distribution for large-cluster implementations. Its customers typically have or are planning large, mission-critical Hadoop clusters and want to use MapR-DB and MapR Streams (which implement the HBase and Kafka

Two IT initiatives are currently top of mind for organizations across the globe: big data analytics and cloud computing. Big data analytics offers the promise of providing valuable insights that can create competitive advantage, spark new innovations, and drive increased revenues. As a delivery model for IT services, cloud computing

Data is now a kind of capital. It’s as necessary for creating new products, services and ways of working as financial capital. For CEOs, this means securing access to, and increasing use of, data capital by digitizing and datafying key activities with customers, suppliers and partners before rivals do. For

The promise of data-driven decision-making is now being recognized broadly, and there is growing enthusiasm for the notion of "Big Data". While the promise of Big Data is real -- for example, it is estimated that Google alone contributed 54 billion dollars to the US economy in 2009 -- there

People, devices and networks are constantly generating data. When users stream videos, play the latest game with friends, or make in-app purchases, their activity generates data about their needs and preferences, as well as their QoE. Even when users put their devices in their pockets, the network is generating location

This article is the sixth and final in an editorial series with a goal of directing line of business leaders in conjunction with enterprise technologists with a focus on opportunities for retailers and how Dell can help them get started. The guide also will serve as a resource for retailers