Swim Maintains a Steady State Amid Fast-Moving Data

Things move quickly in the world of real-time streaming. In some cases, companies want to track millions of events per second. Staying on top of these data volumes can be extremely challenging for traditional stateless c Read more…

Big Data Future Hinges on Variety

There are numerous factors that define and describe big data, but the community has settled on three primary elements: data volume, data velocity and data variety. This schema was originally put forth by Gartner analyst Doug Laney in the late 90s and has since become a de facto industry standard for defining big data. Over time, other analysts and pundits have expanded the framework to incorporate as many as seven Vs and Laney himself quipped that he has come up with a definitive 12 Vs “to cover the full spectrum of big data challenges and opportunities.” Read more…