For many, imitating Google’s success comes with actually mirroring their products to the point where they are almost exact duplicates. The Formtek Blog explains that Hadoop and Solr might be following that pattern in the article, “Enterprise Search: Solr + Hadoop = Simplified Google-Like Big Data Analysis.” Cloudera has a new solution that mixes Apache Solr and Hadoop in hopes that it will give more businesses the ability to use Hadoop. Cloudera Search has been integrated into the company’s CDH Big Data platform as part of a program to help businesses take advantage of all their data. The new search function is part of Cloudera’s plan to help people without a programming background access Big Data.
Hadoop will soon be available to everyone:
[Mike Olson, Chief Strategy Officer and Chairman of the Board of Cloudera] said that ‘the key benefit is that anybody can now use this platform. When Hadoop first appeared on the market, the knock against it by the existing analytics vendors was that you had to learn this new MapReduce thing and you have got to be a Java programmer. We have added SQL, but there are people who don’t know that language, either. People want to search for data they know exists in their cluster, but with a petabyte of data, there is not set of folders that make sense any more. What we have learned from Google is that we just want to type terms into a search box.’
A lot of data is hidden Hadoop. People do not know how to access it, but they want to. They want an easy solution like Google. This is Cloudera’s general idea and hope. Every search function cannot copy Google, but simplicity can cross platforms such as Apache Solr. Cloudera is one among many Apache Solr projects, including LucidWorks. LucidWorks also specializes in Big Data and enterprise solutions, but it is the direct commercial end of the open source foundation.
Whitney Grace, August 15, 2013
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