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Big data analytics on machine data

Glassbeam Inc. is a cloud based Big Data applications company specializing in machine data analytics for device manufacturers and software/IT apps.

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PAGE TITLE
Big data analytics on machine data | blog.glassbeam.com Reviews
<META>
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Glassbeam Inc. is a cloud based Big Data applications company specializing in machine data analytics for device manufacturers and software/IT apps.
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1 troubleshooting troubles
2 part 2
3 posted by
4 pramod sridharamurthy
5 no comments
6 machine data
7 reducing support costs
8 support analytics
9 part 1
10 the problem statement
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troubleshooting troubles,part 2,posted by,pramod sridharamurthy,no comments,machine data,reducing support costs,support analytics,part 1,the problem statement,labels big data,big data analytics,machine data analytics,labels csr,social responsibility
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Big data analytics on machine data | blog.glassbeam.com Reviews

https://blog.glassbeam.com

Glassbeam Inc. is a cloud based Big Data applications company specializing in machine data analytics for device manufacturers and software/IT apps.

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blog.glassbeam.com blog.glassbeam.com
1

Big data analytics on machine data: Social Responsibility begins at home.... and office too!

http://blog.glassbeam.com/2013/05/social-responsibility-begins-at-home.html

Thursday, May 23, 2013. Social Responsibility begins at home. and office too! Vishwanath works as a front desk/security supervisor at our Glassbeam India office. For those of us who work in India would know that the salary he earns is barely enough to meet basic living needs. He has a daughter who finished her 10. 2 She studied in Kannada medium till 8. Standard - She moved to English medium only from 9. Which means that not only she learnt English in just 2 years ( She scored 94 in English), but she als...

2

Big data analytics on machine data: July 2012

http://blog.glassbeam.com/2012_07_01_archive.html

Sunday, July 22, 2012. Leveraging machine data to reduce support costs. According to a recent survey among the support groups of 3 of the world’s top selling storage vendors, it takes an average of 12 hours to identify and resolve any issue. Of this, up to 30% of the time is spent in determining root cause - finding, organizing, and making sense of the glut of diagnostic data coming back from the product. That's a potential savings of 11 hours and 55 minutes per case! Sunday, July 15, 2012. Any product e...

3

Big data analytics on machine data: January 2012

http://blog.glassbeam.com/2012_01_01_archive.html

Tuesday, January 31, 2012. McKinsey weighs in on Big Data. The Q4, 2011 issue of McKinsey Quarterly. Focused exclusively on big data and its implications for various industries moving forward ( Free registration required. Makes for a very interesting read! Industries with the most potential for reaping benefits from big data include Finance, Insurance, Transportation and Warehousing, and Health Care. Tuesday, January 24, 2012. So, what is SPL? Simply put is stands for Semiotic Parsing Language. The SPL d...

4

Big data analytics on machine data: November 2012

http://blog.glassbeam.com/2012_11_01_archive.html

Tuesday, November 20, 2012. ABCs of log file analytics. A Aggregate data from all log files - All log files are not the same - Most people think of sys logs when they think of log files - no thats not all. Logs from product and software companies are bundles containing many files each of different types and formats. Some are time series data of events but others can be stats, session information, usage metrics, configuration etc. Labels: Big data Analytics. Subscribe to: Posts (Atom).

5

Big data analytics on machine data: October 2012

http://blog.glassbeam.com/2012_10_01_archive.html

Saturday, October 6, 2012. Big Data and DSL ( Domain Specific Language ). Have been around for a long time – a great example of a DSL is SQL for RDBMS. A DSL is differentiated from a general-purpose language such as C, Java or Python since a DSL is geared towards a specific domain. Describes arbitrary text layout for automated parsing. Describes the context or meaning of the text in order to express more than that which is explicitly stated. Automatically creates an efficient structured schema. Inc is a ...

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Big data analytics on machine data

Tuesday, July 16, 2013. Basic troubleshooting and Automation. In the previous blog, we looked at some of the steps commonly followed during troubleshooting and also how even though the specifics are different the overall approach is similar. Issues that get resolved at L1/L2 level - These form the majority of the support cases in almost all support organizations. While these issues have lower. Mean time to resolution. For L1/L2 type of issues, what if there was. A search interface to quickly and easily s...

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