Big Data Analytics Using Splunk

Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources

Häftad, Engelska, 2013

789 kr

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Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. Using Splunk, you can monitor data in real time, or mine your data after the fact.

Produktinformation

Utgivningsdatum2013-05-22
Mått178 x 254 x 20 mm
Vikt700 g
FormatHäftad
SpråkEngelska
Antal sidor376
FörlagAPress
ISBN9781430257615

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Peter Zadrozny is an independent consultant specialized in big data, software performance, and architecture. He is also a lecturer on big data topics at San Jose State University. He has held various executive and technical roles in many countries around the world for startups as well as Fortune 500 companies. He started the operations of WebLogic in Europe and Sun Microsystems in Mexico. He is an accomplished author with various successful books, a magazine, and was an original contributor to The Grinder, a popular open source project.

* Part I: Splunk's Basic Operation: Getting to Know Splunk * Part I: Splunk's Basic Operation: Getting Data into Splunk * Part I: Splunk's Basic Operation: Processing and Analysing the Data * Part I: Splunk's Basic Operation: Visualizing the Results * Part I: Splunk's Basic Operation: Defining Alerts. * Part I: Splunk's Basic Operation: Web Site Monitoring * Part I: Splunk's Basic Operation: Using Log Files to Create Advanced Analytics * Part II: Airline On-Time Performance Project: On-Time Project Description * Part II: Airline On-Time Performance Project: Getting Flight Data Into Splunk * Part II: Airline On-Time Performance Project: Analyzing Airlines, Airports, Flights, and Delays * Part II: Airline On-Time Performance Project: Analyzing a Specific Flight over Time * Part III: Social Media: Analyzing Twitter Data * Part III: Social Media: Analyzing Foursquare Check-Ins * Part III: Social Media: Sentiment Analysis * Part IV: Architecture and Deployment: Distributed Topologies * Part IV: Architecture and Deployment: High Availability * Appendix A: The Performance of Splunk * Appendix B: Related Applications