Big Data Analytics Using Splunk

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. Gone are the days when you need be caught out by shifting public opinion or sudden changes in customer behavior. Splunk’s easy to use engine helps you recognize and react in real time, as events are occurring.

Splunk is a powerful, yet simple analytical tool fast gaining traction in the fields of big data and operational intelligence. Using Splunk, you can monitor data in real time, or mine your data after the fact. Splunk’s stunning visualizations aid in locating the needle of value in a haystack of a data. Geolocation support spreads your data across a map, allowing you to drill down to geographic areas of interest. Alerts can run in the background and trigger to warn you of shifts or events as they are taking place.

With Splunk you can immediately recognize and react to changing trends and shifting public opinion as expressed through social media, and to new patterns of eCommerce and customer behavior. The ability to immediately recognize and react to changing trends provides a tremendous advantage in today’s fast-paced world of Internet business. Big Data Analytics Using Splunk opens the door to an exciting world of real-time operational intelligence.

• Built around hands-on projects
• Shows how to mine social media
• Opens the door to real-time operational intelligence

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

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