Why Santa needs Big Data
Now, Hadoop! Now, SQL! Now, NOSQL, and Opensource! On, Cloud technology! On, Apps! On, SaaS, and Infrastructure!
Back in the days before databases, automated production lines, and GPS, one man had one of the best, if not THE best system in ...
IBM’s Predictions: 6 Big Data Trends In 2014
A big data expert shares predictions based on feedback from IBM's enterprise clients. Is it time to update your strategy?
Businesses next year will sharpen their focus on big data and place a greater emphasis on analytics projects, data-related security and ...
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 ...
Has Hadoop Entered the Mainstream?
After all the hype around Apache Hadoop, we are starting to see some successful implementations that highlight its benefits. However, we do not yet see the kind of enterprise adoption typically associated with a technology that promises to manage high ...
The Top 5 Big Data Use Cases Your CEO Will Love
One of the biggest questions surrounding ‘analytics’ and ‘big data’ is how do you actually use it to add value? Big data is still such a foggy term that it attracts many myths ranging from ‘big data is not useful ...
Big data and predictive analytics-When is enough data enough?
"Many predictive analytics applications turn out not to need all of the data," Berry said during his keynote talk at Predictive Analytics World. So the real task for data scientists et al. isn't figuring out how to analyze all the ...
10 ways to prevent loss of big data enthusiasm
Companies are finding that it's a lot more challenging to implement big data than they thought it would be! And some are losing enthusiasm.
What are ten things you can do to prevent a loss of momentum in your big data ...
Data Visualization-Drawing Actionable Big Data Insights
“So much data, so little time.” That’s how a lot of companies feel about the explosion of Big Data. After all, the thought of capturing, analyzing and somehow getting insights from mountains of disparate data can be overwhelming. And not ...
Using machine learning to make sense of IT’s big data
Business’ IT infrastructure is not something customers see. And more and more often, the businesses don’t “see” it either as they outsource the management of servers and services to third-party partners. This works well until a server outage disrupts a ...