Last week at Hadoop World we saw the big push of big data going mainstream.
This announcement is likely to have a negative impact on existing Hadoop distribution vendors, especially Cloudera.
As Hadoop exists today, it introduces more complex management and the need for skilled resources.
Creating an app on the Hadoop platform requires much low level infrastructure and development.
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We are looking at technology that will let you do your Hadoop analysis in memory.
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Hadoop moves data from the file system to memory and between nodes and back out again.
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All the code that Microsoft has developed for connecting Windows to Hadoop will be Open Source.
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Do you think business and IT leaders understand the value and potential of Hadoop?
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But Hadoop is not like other efforts to commercialize open source in some important ways.
But now Hadoop is smack in the middle of the world of Business Intelligence.
Hadoop was created to help crunch massive web crawls into indexes to support searches.
NetApp works with both Cloudera and another Hadoop company, Hortonworks (note the Dr. Seuss elephant reference).
Some of you may be wondering how enterprise IT administrators get involved with Hadoop at all.
Hadoop is advancing from the realm of the consumer and into the enterprise data center.
The data must be managed and analyzed using different tools such as Hadoop and Splunk.
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In fact, Hadoop is an evolving solution platform, just as an EDW is a solution platform.
There are a growing number of Hadoop case studies in other regions, in other industries.
And computational power is being unlocked like never before by new massively parallel computing paradigms like Hadoop.
Big Data uses specialized technologies (like Hadoop and NoSQL) to process vast amounts of information in bulk.
Cloudera specializes in software for Hadoop, an open-source database tool designed to work at very large scales.
Among other things, Konstantin was the lead developer and committer for the Apache Hadoop Framework project.
Hadoop became a massive data lake that was powered by inexpensive commodity hardware and could scale massively.
Most people think of Hadoop as pioneering technology that is being developed through an open source ecosystem.
The company found that Hive was the best solution for a smooth transition from Oracle to Hadoop.
Overnight, Hadoop is able to generate a comprehensive report that incorporates data stored in billions of records.
In essence, Hadoop replaces the role of OLAP (online analytical processing) in preparing data to answer specific questions.
Capabilities like Splunk and Hadoop and other MapReduce implementations will be employed to distill and summarize machine data.
On Tuesday, February 26, 2013, Intel surprised the Big Data world by announcing its own Hadoop distribution.
"There's widespread recognition that Hadoop is a major new technology--a significant new tool in the enterprise, " Olson says.
After Hadoop finishes filtering the data, the place you want to put that data is in Oracle database.
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