Big on Data bro Andrew Brust's recent post on the spring cleaning of Hadoop projects evidently touched a nerve, given the readership numbers that went off the charts. By now, the Apache Hadoop family ...
Data science is an interdisciplinary sphere of study that has gained traction over the years, given the sheer amount of data we produce on a daily basis — projected to be over 2.5 quintillion bytes of ...
Actian Corporation today challenged the industry to consider whether current implementations of Hadoop can translate to mainstream adoption. While many organizations have made significant Hadoop ...
With the massive amount of data proliferating the Web, companies such as Google and many others are building new technologies to sort it all. Core to that movement is something called MapReduce, a ...
This is a guest post by Dell Software executive Guy Harrison Without doubt, “big data” is the hottest topic in enterprise IT since cloud computing came to prominence five years ago. And the most ...
Matt Asay is a veteran technology columnist who has written for CNET, ReadWrite, and other tech media. Asay has also held a variety of executive roles with leading mobile and big data software ...
EMC plans to provide full open-source support for Hadoop with the eventual release of software, appliance, and eventually virtual appliance versions of the Hadoop technology in connection with ...
Last time I wrote about Hadoop, I talked about its challenge to traditional SQL-based databases. I left off with mentioning that some SQL proponents have compared Apache Hadoop to Linux 10 years ago.
Technology professionals with strong skills in Apache Hadoop are among the hardest to find. In fact, demand for people with Hadoop expertise has skyrocketed 34% since last year, according to Wanted ...
With the Hadoop Summit taking place this week in San Jose, California, vendors supporting the open-source data-analysis platform are rushing new products to market. Over 2,100 attendees are expected ...
Just a decade ago, the enterprise IT push was to make Hadoop the platform for storage and analytics. At that time, cloud hesitancy was still looming for large on-prem organizations. Hadoop, no matter ...
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