2013 certainly was an eventful year for Big Data. Some highlights:
Over the last 12 months, we saw the technologies that constitute Big Data, namely Hadoop and NoSQL data stores, continue to mature with a special focus on those elusive “enterprise-grade features” and on bringing SQL-style,
Gartner VP and Fellow Mark Raskino presented that scenario in a session entitled "Every Industry will be Digitally Remastered." With equal parts excitement and urgency, Raskino reeled of dozens of examples of how digitization is remaking products and services as everyday, as unassuming and as
CIOs will spend the next 12 months "taming the digital dragon," according to Gartner VP and Fellow Dave Aron.
The dragon in question is the "nexus of forces" (Cloud, Social Business, Mobility, Big Data/Analytics) introduced earlier in the day by Gartner SVP and Global Head of Research
In a dynamic, near-breathless address beamed to overflow screens throughout the Swan and Dolphin hotels, Sondegaard explained how a "nexus of forces" - Cloud, Big Data, Mobility and Social Business - are driving the creation of a new "Digital Industrial Economy" in which every organization, budget
Big data is not just about scaling your data analytics processing platforms to keep up with the onslaught of new information. Just as important, big data is about bringing together your best and brightest minds—your data scientists—and giving them the tools they need to interactively and
More and more, organizations are asking how MDM fits in with other emerging trends – namely big data, mobile and cloud. We’ll discuss how these trends intersect.
Big Data - For today's post, big data means the overall umbrella of social media data, unstructured documents, streaming data from
Most of us don’t think of big data as a personal resource for mobility, but, clearly, that thinking will need to change. Smarter mobility depends on the ability to serve all of our mobile devices from an intelligent big-data infrastructure
Annual predictions are like relatives at a cocktail party: once you introduce them, you never know if they’ll flatter or embarrass you. But that doesn’t stop thought leaders, analysts and other subject matter experts from laying their reputations on the line every year for our education. Here is a
Unified management tooling is important for low lifecycle cost of ownership and high administrator productivity. Appliances are workload-optimized systems, but they still require human administrators to oversee a wide range of workload management and other optimization, troubleshooting and
An appliance is a fit-for-purpose, repeatable node within your broader big-data architecture. Many appliances will be optimized to support various mixes of big-data workloads, while others will be entirely specialized to a particular function that they perform with lightning speed and elastic
Big data is evolving into a cloud ecosystem. For example, it’s clear that Hadoop has already proven its core role in the big data ecosystem: as a petabyte-scalable staging, transformation, pre-processing and refinery cloud for unstructured content and embedded execution of advanced analytics.
Big data is, fundamentally, a cloud-computing approach to advanced analytics and data management. The images that come to mind when somebody says “cloud computing” are a) increasingly sprawling server farms and b) increasingly huge server racks arranged in endless rows within these farms. These “