Hadoop still too slow for real-time analysis applications?
With all the buzz that Hadoop is generating in IT circles these days, it's easy to start thinking that the open source distributed processing framework can handle just about anything in big data environments. But real-time analysis involving ad hoc ...
HP’s Earth Insights deploys big data tech against eco threats
HP has turned its Vertica big data technology to the task of helping ecologists detect risks to threatened species.
The company announced HP Earth Insights on Tuesday, a joint project with non-governmental organisation Conservation International designed to speed up the analysis ...
Pivotal partners with Capgemimi on Big Data
IT consultancy joins Pivotal party to help both firms make sense of big data.
EMC’s “billion dollar start-up” Pivotal has teamed with IT consultancy Capgemini to support the development of its big data offerings.
The firms said the partnership would bring together ...
Which Hadoop Distribution Is Right For You?
Selecting a Hadoop distribution can seem pretty daunting. But it all comes down to which platform best suits your Big Data needs.
The thought of evaluating whether a particular technology is right for your company can conjure up feelings of stress, ...
Yahoo SAMOA, Open Source Platform for Mining Big Data Streams
Yahoo SAMOA (Scalable Advanced Massive Online Analysis) is a framework for mining big data streams and applying distributed machine learning algorithms. You can think of SAMOA as Mahout for streaming.
SAMOA (Scalable Advanced Massive Online Analysis) is a framework for mining ...
6 Issues To Consider When Planning A Big Data Project
Big data should be about solving specific problems, not just jumping on the technology bandwagon. Here are six issues to consider as you plan or refine big data projects.
Big data picture from Shutterstock
These comments come from the recent Gartner Symposium ...
Essential big data tools for government
Big data. It’s massive. It comes in all types of formats. It’s dynamic, changing.
Government managers are looking to derive value from the mountains of data collected by their agencies to tackle a host of issues, including cybersecurity, fraud detection, crime ...
Managing Multiple Resources in Hadoop 2 with YARN
An overview of Cloudera’s contributions to YARN that help support management of multiple resources, from multi-resource scheduling to node-level enforcement
As Apache Hadoop become ubiquitous, it is becoming more common for users to run diverse sets of workloads on Hadoop, and ...
Predictive Analytics is the Next Growing Sector in Big Data Market
The theme of Big Data has spawned a tremendous amount of attention and investor interest in recent years. While much of the big data hype has focused on the storage, structured and unstructured processing technologies, London based investment bank GP ...
Five ways to handle Big Data in R
Big data was one of the biggest topics on this year’s useR conference in Albacete and it is definitely one of today’s hottest buzzwords. But what defines “Big Data”? And on the practical side: How can big data be tackled ...