If you are going to be audacious enough to call the thing you are creating Universal Storage, then by definition it has to do everything – meaning support every kind of data format and access protocol, and do so with good performance on all fronts. …
Enterprises are awash in data, and though many are tempted to save it all for later analysis – after all it worked for Google for many years – the store then analyze approach is poorly suited to environments with data sources that never stop. …
Workflow automation has been born of necessity and has evolved an increasingly sophisticated set of tools to manage the growing complexity of the automation itself. …
The hyperscalers of the world have to deal with dataset sizes – both streaming and at rest – and real-time processing requirements that put them into an entirely different class of computing. …
The enormous amount of data being generated will do companies little good if they can’t more easily gather it from multiple sources, store it, analyze it and gain important insights into it that will help them drive better business decisions. …
Sometimes a database is like a collection of wax tablets that you can stack and sort through to update, and these days, sometimes it is more like a river that has a shape defined by its geography but it is constantly changing and flowing and that flow, more than anything else, defines the information that drives the business. …
The digital world is becoming ever more visual. From webcams and drones to closed-circuit television and high-resolution satellites, the number of images created on a daily basis is increasing and in many cases, these images need to be processed in real- or near-real-time. …
Time and again, commercial Hadoop distributor MapR Technologies has demonstrated the value of the MapR-FS file system that underpins its Hadoop stack and differentiates it, more than any other feature, from the other Hadoop platforms with which it competes. …
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