Big Data Analytics Using Splunk: Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. Examples in the book draw from social media sources such as Twitter (tweets) and Foursquare (check-ins). You also learn to draw from machine data, enabling you to analyze, say, web server log files and patterns of user access in real time, as the access is occurring.
Table of Contents
Chapter 1. Big Data and Splunk Chapter 2. Getting Data into Splunk Chapter 3. Processing and Analyzing the Data Chapter 4. Visualizing the Results Chapter 5. Defining Alerts Chapter 6. Web Site Monitoring Chapter 7. Using Log Files To Create Advanced Analytics Chapter 8. The Airline On-Time Performance Project Chapter 9. Getting the Flight Data into Splunk Chapter 10. Analyzing Airlines, Airports, Flights, and Delays Chapter 11. Analyzing a Specific Flight Over the Years Chapter 12. Analyzing Tweets Chapter 13. Analyzing Foursquare Check-Ins Chapter 14. Sentiment Analysis Chapter 15. Remote Data Collection Chapter 16. Scaling and High Availability Appendix A. The Performance of Splunk Appendix B. Useful Splunk Apps
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