Shhh ... don’t tell anyone, but many CIO’s say they’re afraid of Big Data.
Not of the data itself, be it dozens of terabytes or petabytes, or Big Data’s three V’s (high volume, high velocity and/or high variety), but of their ability to deliver on Big Data’s big promises.
“Big Data Is The New ______," you fill in the blank: a) Oil, b) Gold, c) Competitive Advantage, d) Information Frontier … we could keep going, but so could your seven-year-old and your grandmother. That’s how much hype there is about the technology.
But that’s not the point. The point is that Information Workers, throughout the Enterprise, are chomping at the bit, demanding that they be given access to Big Data in short order. They are certain that it’s full of the game-changing insights which they need to leverage to win. But there’s a problem. Most CIO’s have trouble working with Big Data themselves and they have little, or nothing, to offer to business users. "Big Data technologies are simply too hard to use,” they say in private. Going public with such a statement could endanger their careers because that answer is unacceptable to Management.
“I don’t care how you do it, just get me the results,” is a CEO’s common cry. It’s no wonder many CIOs are sitting behind closed doors in pools of sweat.
Well beginning today they can open their doors and stop sweating.
Introducing Cloudera Search
At the Economist’s Information Forum in San Francisco, Mike Olson, CEO of Cloudera, is unveiling Cloudera Search, the Big Data industry’s first fully integrated search engine for interactive exploration of data stored in the Hadoop Distributed File System (HDFS) and Apache HBase. Cloudera Search is powered by the industry’s leading open source search engine, Apache Solr.
What’s the big deal about that? You don’t need any special training to use it. With Cloudera Search almost any Enterprise user who can Google can perform interactive, natural language keyword searches and faceted navigation on data stored in Hadoop, without additional training or advanced programming knowledge.
And while this is simple to say, it’s truly revolutionary. Consider this: up until recently there were only about 100,000 engineers who were capable of running Hadoop and HBase searches using MapReduce -- this according to Charles Zedlewski, VP of Products at Cloudera. As recently as yesterday, only 1 million specially skilled enterprise pros had the skills needed to run simultaneous batch and interactive Big Data searches.
But with today’s announcement, Hadoop and HBase searching will become something billions of Enterprise users can do, no special training required, says Zedlweski.
All Data on One Platform
Cloudera developed Cloudera Search specifically to address a rapidly emerging need as Enterprise Hadoop deployments become the primary repositories for more and more kinds of data. In order to gain wide user acceptance and adoption, the company realized that it had to make it easier to more quickly combine and refine data into a single, integrated platform.