Hadoop is Emerging as the Dominant Big Data Analytics Platform
February 25, 2013
By Mae Kowalke
, TMCnet Contributor
When we tweak photos, we “Photoshop” them. Soon, when we crunch big data we might consider impressing our friends by “Hadooping” the data.
At least that’s the direction advanced analytics products are going, with Gartner predicting that two-thirds of such products will have Apache Hadoop embedded within them by 2015.
“The Apache Hadoop platform has been ascendant in recent years, thanks to its flexibility, rich developer ecosystem, and ability to suit the analytics needs of developers, Web startups and enterprises,” wrote the Greenplum blog.
But 2013 will be a big year for the open source project. Eweek recently laid out 10 reasons why 2013 will be the year of Hadoop.
Hadoop is predicted to be used in more in real-time applications since its capabilities now make it able to stream data into the cluster and analyze it in an interactive fashion in real-time. Also, revenue-generating purposes will overtake cost-saving applications.
“Hadoop has always been a good fit for applications that process massive amounts of data for predictive modeling and other analytics,” wrote eWeek. “More and more, organizations will use these applications to generate revenue by more accurately targeting—and in some cases adapting—products and services.”
As Hadoop gains momentum it will pull away from competitors such as MongoDB, Cassandra, Couchbase and the numerous NoSQL options. The demand for Hadoop will drive demand for Hadoop expertise. With more IT workers becoming familiar with Hadoop as a savvy career move, it will also help with adoption.
Likewise, Hadoop will grow as its SQL tools expand. With the large talent pool of SQL ninjas, as Hadoop becomes more SQL friendly it will pick up steam.
HBase Hadoop's nonrelational, distributed database modeled after Google's (News - Alert) BigTable and written in Java, will both become a popular platform for binary large object stores such as digital wallets, and it will emerge as an attractive platform for lightweight online transaction processing. Facebook (News - Alert) has already started using HBase for its Facebook Messages functionality.
As Hadoop becomes more popular, hardware will start to be optimized for it and organizations will expand applications on Hadoop clusters.
“With the increased popularity and success of Hadoop, organizations will expand the applications and groups leveraging Hadoop clusters,” according to eWeek. “Increased attention will be placed on multi-tenant features and the ability to share a cluster successfully across users and administrators.”
And finally, 2013 will be a good year for Hadoop because it is made for the cloud.
“The number of Hadoop clusters offered by cloud vendors is going through an intense uptick as organizations tap Hadoop as a killer application,” eWeek noted.
So just remember: You don’t analyze big data, you now “Hadoop” it.
Edited by Rachel Ramsey