Cloudera, a company that specializes in enterprise analytic data management powered by Apache Hadoop, unveiled the public beta of Cloudera Search this week, reportedly the 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 aims to simplify and increase Hadoop’s usability by more departments of an organization by enabling anyone within an organization to perform interactive, natural language keyword serches and faceted navigation on data stored in Hadoop, without having to go through additional training or having advanced programming knowledge.  Cloudera Search is powered by the leading open source search engine, Apache Solr.

Cloudera Search functions much like Google Search.  If you can use Google Search, you will have no problems using Cloudera Search.  This would help non-technical teams harness the power of Hadoop.

“Data is one of the most valuable assets we have when it comes to preventative mental and physical healthcare,” said Chris Poulin, managing partner of Patterns and Predictions. “With next generation predictive analytics tools powered by Hadoop, healthcare providers can now address healthcare issues proactively and hope to solve even the most intractable challenges, like suicide prevention for military veterans.

“With the power to correlate medical reports, patient records, care provider notes, and social media data along with other relevant data sources, we can cultivate a deeper, more holistic understanding of patients and disease to support better treatment plans and optimize patient care. By giving non-technical individuals the power to perform real-time search and queries on data stored in Hadoop, Cloudera is providing critical tools to advance healthcare innovation and discovery.”

Joining Kristin Feledy in this morning’s NewsDesk is Wikibon Principal Research Contributor Jeff Kelly to give his Breaking Analysis on enterprises who are trying to make sense of the quickly evolving Hadoop landscape.

“We at Wikibon think it’s going to be a gradual process,” Kelly says.  “Traditional enterprise right now has spent millions of dollars, 10-20 plus years, in some cases, of investing in traditional relational databases and data warehouses.  We don’t recommend that you go in and bring in Hadoop and rip and replace those.  Hadoop is fairly young and  immature technology.

“It’s certainly growing fast and there are a lot of smart people working in the community, render space as well in terms of making Hadoop more enterprise ready and in some cases it is enterprise ready.  In my opinion, it is enterprise ready if you want to do large scale analytics, kind of offline large scale analytics, but it’s not quite ready for primetime yet.  If you’re looking to replicate a lot of the workloads that relational databases do,” Kelly stated.

For more of Kelly’s Breaking Analysis, check out the NewsDesk video below: