Splunk 7 Essentials Demystify machine data by leveraging datasets building reports and sharing powerful insights 3rd edition by J P Contreras, Erickson Delgado, Betsy Page Sigman 1788830126 9781788830126

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Product details:

ISBN 10: 1788830126 

ISBN 13: 9781788830126

Author: J-P Contreras, Erickson Delgado, Betsy Page Sigman 

Splunk is a search, reporting, and analytics software platform for machine data, which has an ever-growing market adoption rate. More organizations than ever are adopting Splunk to make informed decisions in areas such as IT operations, information security, and the Internet of Things.

The first two chapters of the book will get you started with a simple Splunk installation and set up of a sample machine data generator, called Eventgen.

Splunk 7 Essentials Demystify machine data by leveraging datasets building reports and sharing powerful insights 3rd Table of contents: 

1. Splunk 7 Essentials Third Edition
2. Packt Upsell
3. Why subscribe?
4. PacktPub.com
5. Contributors
6. About the authors
7. About the reviewers
8. Packt is searching for authors like you
9. Preface
10. Who this book is for
11. What this book covers
12. To get the most out of this book
13. Download the example code files
14. Download the color images
15. Conventions used
16. Get in touch
17. Reviews
18. Splunk – Getting Started
19. Your Splunk account
20. Obtaining a Splunk account
21. Installing Splunk on Windows
22. Installing Splunk on Linux
23. Logging in for the first time
24. Running a simple search
25. Creating a Splunk app
26. Populating data with Eventgen
27. Using the CLI to configure Eventgen
28. Installing the Eventgen add-on (Windows and Linux)
29. Controlling Splunk
30. Configuring Eventgen
31. Viewing the Destinations app
32. Creating your first dashboard
33. Summary
34. Bringing in Data
35. Splunk and big data
36. Streaming data
37. Analytical data latency
38. Sparseness of data
39. Splunk data sources
40. Machine data
41. Web logs
42. Data files
43. Social media data
44. Relational database data
45. Other data types
46. Creating indexes
47. Buckets
48. Log files as data input
49. Splunk events and fields
50. Extracting new fields
51. Summary
52. Search Processing Language
53. Anatomy of a search
54. Search pipeline
55. Time modifiers
56. Filtering search results
57. Search command 
58. Search command 
59. Search commands 
60. Search command 
61. Summary
62. Reporting, Alerts, and Search Optimization
63. Data classification with Event Types
64. Data normalization with Tags
65. Data enrichment with Lookups
66. Creating and scheduling reports
67. Creating alerts
68. Search and Report acceleration
69. Scheduling options
70. Summary indexing

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Tags: Essentials, Demystify, machine data, leveraging datasets, powerful insights, J P Contreras, Erickson Delgado, Betsy Page Sigman