21 NoSQL Innovators to Look for in 2020
In the ever-evolving world of enterprise IT, choice is generally considered a good thing – albeit having too many choices can create confusion and uncertainty. For those application owners, database administrators and IT directors who pine for the good old ...
YARN and MapReduce 2.0 elevates big data Hadoop and scheduled processing
Are you ready to take advantage of the multi-application functionality of Hadoop with MapReduce 2.0, or as it is more affectionately known, YARN? According to Arun Murthy, a big-data architect and a co-founder of Hortonworks, YARN substantially improves the functionality ...
3 Tools Companies Can Use to Harness the Power of Big Data
To the individual user, Big Data might simply mean a new 3-terabyte hard drive, which can be acquired for a hundred bucks or so. But real Big Data projects require clusters of servers, vast amounts of storage, and specialized software ...
5 lessons we learned about data science in 2013
Most people know what marketing executives do every day. They try to catch people’s attention through email, ads, tweets, and press releases. As for data scientists, well, their work is not nearly as well understood.
That’s been slowly changing this year ...
Big Data In 2014-6 Bold Predictions
How will big data evolve in 2014? The future is anyone's guess, of course, but we thought we'd compile a tasty holiday assortment of prognostications from executives working in the big data trenches. So without further delay, here they are ...
Big Data 2.0-the next generation of Big Data
In the last few years we have seen Big Data generate a lot of buzz along with the launch of several successful big data products. The big data ecosystem has now reached a tipping point where the basic infrastructural capabilities ...
Apache Spark for Big Analytics
by Thomas Dinsmore, Director of Product Management at Revolution Analytics
The emergence of Apache Spark is a key development for Big Analytics in 2013.  Spark, an Apache incubator project, is an open source distributed computing framework for advanced analytics in Hadoop. ...
The 3 most common ways data junkies are using Hadoop
Just a few weeks ago, Apache Hadoop 2.0 was declared generally available–a huge milestone for the Hadoop market as it unlocks the vision of interacting with stored data in unprecedented ways. Hadoop remains the typical underpinning technology of “Big Data,” ...
7 Big Data Trends for 2014
As the year 2013 is almost over, it is good to have a look back at the trends that I discussed for 2013 and look forward to the Big Data trends of 2014. It can be said that 2013 was ...
The secrets of designing and building big data apps
Software applications have traditionally been perceived as a unit of computation designed and used to solve a problem. Whether an application is a CRM tool that helps manage customer information or a complex supply-chain management system, the problem it solves ...