Big Data Analytics Using Splunk

Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources (Expert's Voice in Big Data)

• Author: Peter Zadrozny, Raghu Kodali
• Language: English
• Published: May 22, 2013
• Page: 362
• Size:  17 MB
• Format: pdf

What you’ll learn

•     Monitor and mine social media for trends affecting your business
•     Know how you are perceived, and when that perception is rising or falling
•     Detect changing customer behavior from mining your operational data
•     Collect and analyze in real time, or from historical files
•     Apply basic analytical metrics to better understand your data
•     Create compelling visualizations and easily communicate your findings

Who this book is for

Big Data Analytics Using Splunk is for those who are interested in exploring the heaps of data they have available, but don’t know where to start. It is for the people who have knowledge of the data they want to analyze and are developers or SQL programmers at a level anywhere between beginners and intermediate. Expert developers also benefit from learning how to use such a simple and powerful tool as Splunk.

Table of Contents
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