We saw companies presenting at .conf who were pulling data into Splunk, but then Splunk analyzes that data and feeds information back out through our other operational systems.
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Using Splunk, data and search structures can be saved and identified as foundations for future users.
Once you find a way of analyzing a particular collection of datasets, you can use Splunk or Data Rush to process volumes of data while you are building out any new infrastructure that may be needed.
The way that Splunk organizes machine data is by grouping it into events and then categorizing and summarizing those events.
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Splunk then allows that data to be sifted, sorted, summarized, and visualized so that you can find a needle in a haystack or look at the shape of the whole haystack.
FORBES: Splunk's Godfrey Sullivan on Overcoming Barriers to Operational Intelligence
On the public market side, technology firms focused on the corporate market, such as data company Splunk and HR software company Workday, have done well in the public markets, says Anand Sanwal, CEO and co-founder of CB Insights.
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When Splunk is used in the data center, many different collections of server logs, network logs, or other machine generated data are indexed so that the data can be searched and distilled.
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Big data software analytics provider Splunk this afternoon posted better-than-expected financial results for its fiscal fourth quarter ended January 31.
Many Splunk clients have discovered that machine data is not just about the break and fix cycle but can also reveal important information about customers and partners.
FORBES: Splunk's Godfrey Sullivan on Overcoming Barriers to Operational Intelligence
Based in San Francisco, Splunk was created to make machine data accessible to business users in intelligible form without going through the IT shop to get a report.
As long as you have access to data through some data tool (like Tableau, Spotfire, Pentahoe, Splunk, Microstrategy, Business Object etc), you can download the data into excel to analyze.
Splunk is an amazing tool for analyzing machine data that is moving from IT use to providing business insights.
"The market appears to be giving us a first-mover advantage on Big Data, " Godfrey Sullivan, Splunk's chief executive, said in an interview.
Why not instead, spend a fraction of that amount on technologies like Splunk, Revolution Analytics, 1010data, Pervasive Data Rush, QlikView, Tableau, and TIBCO Spotfire?
Splunk also provides the infrastructure to store this data over time, correlate this data with other data sources from within the enterprise or from external sources, make the data available to other applications or services across the enterprise, and export the data for other purposes as needed.
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As seen with the IPO of Splunk (NASDAQ:SPLK), the Big Data industry is certainly red hot.
Splunk allows its users to see vast amounts of data from many different sources as a single unified collection.
FORBES: Splunk's Godfrey Sullivan on Overcoming Barriers to Operational Intelligence
Although its roots are in IT diagnostics Splunk is being increasingly applied for business purposes outside the data center.
Most of the time, we are presented with scenarios in which data is poured into Hadoop or sifted with Splunk and somehow you get insights.
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Splunk is capitalizing on an explosion of interest in Big Data as businesses generate more and more data sets that they need to collect, organize and analyze.
The a significant number of organizations could probably make quite a bit of hay from using Splunk, a distributed software for distilling and analyzing machine data that can be applied to data in file systems, in databases, or in Hadoop clusters.
The tech people who do know what the data can reveal and who know how to use Splunk to get answers are not usually thinking about the business.
FORBES: Splunk's Godfrey Sullivan on Overcoming Barriers to Operational Intelligence
Technologies like Splunk were built to help IT staff search and summarize machine data, but with just a small amount of enhancement web server log data can track in real time the flow of customers through pages, the products that are going into shopping carts, and the rate of transactions.
How Splunk is growing beyond its base in IT departments to become a data fabric that is more relevant to the business?
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Splunk is a technology that has been adapted from its roots in data center operations to play exactly that sort of role.
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Splunk focuses specifically on the challenges and opportunities of effectively managing this type of data.
The data must be managed and analyzed using different tools such as Hadoop and Splunk.
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Capabilities like Splunk and Hadoop and other MapReduce implementations will be employed to distill and summarize machine data.
Dan Woods: Godfrey, I noticed that you are developing a new vocabulary to describe Splunk now that the product is starting to play a bigger role outside of the data center.
FORBES: Splunk CEO Godfrey Sullivan's Plans for Breaking Into Business Computing
The simplest approach may be through the technology offered by Splunk, which has its own search language that allows you to search through big data, identify useful query types, and express your developing understanding of the structure of the data as you search.
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