Exploring Splunk - Softcover

Carasso, David

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9780982550670: Exploring Splunk

Synopsis

Big data has incredible business value, and Splunk is the best tool for unlocking that value. Exploring Splunk shows you how to pinpoint answers and find patterns obscured by the flood of machinegenerated data. This book uses an engaging, visual presentation style that quickly familiarizes you with how to use Splunk. You'll move from mastering Splunk basics to creatively solving real-world problems, finding the gems hidden in big data.

 
Part I: Exploring Splunk

  • Chapter 1 tells you what Splunk is and how it can help you.
  • Chapter 2 discusses how to download Splunk and get started.
  • Chapter 3 discusses the search user interface and searching with Splunk.
  • Chapter 4 covers the most commonly used search commands.
  • Chapter 5 explains how to visualize and enrich your data with knowledge.
Part II: Solution Recipes
  • Chapter 6 covers the most common monitoring and alerting solutions.
  • Chapter 7 covers the most common transaction solutions.
  • Chapter 8 covers the most common lookup table solutions.

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About the Author

David Carasso, Splunk's Chief Mind, was the third Splunk employee. He has been responsible for innovating and prototyping a class of hard problems at the Splunk core, including developing the search processing language (SPL), dynamic event and source tagging, automatic field extraction, transaction grouping, event aggregation, and timestamping. He holds two patents for his work with Splunk, and lives in Marin County, California, with his wife and three children.

From the Back Cover

Big data has incredible business value, and Splunk is the best tool for unlocking that value. Exploring Splunk shows you how to pinpoint answers and find patterns obscured by the flood of machine- generated data. This book uses an engaging, visual presentation style that quickly familiarizes you with how to use Splunk. You'll move from mastering Splunk basics to creatively solving real-world problems, finding the gems hidden in big data.

"About this title" may belong to another edition of this title.