1 option
Splunk for beginners : make the most of machine data using Splunk / Cyber Academy.
- Format:
- Video
- Language:
- English
- Subjects (All):
- Big data.
- Data mining.
- Automatic data collection systems.
- Electronic data processing.
- Physical Description:
- 1 online resource (1 video file (5 hr., 29 min.)) : sound, color.
- Edition:
- [First edition].
- Place of Publication:
- [Birmingham, United Kingdom] : Packt Publishing, [2021]
- Summary:
- Unlock the features of the Splunk Enterprise version from scratch. Get your hands dirty to build a real-world web application where the user interacts with the visualized data. Splunk offers extensive flexibility in the enterprise edition to help developers build robust applications. The development in Splunk path will equip you with the necessary knowledge and skills to build enterprise-grade applications by utilizing the best of what the platform has to offer, taking your foundational knowledge to more advanced levels. In this course, we will be exploring Splunk application planning, understanding and preparing data, creating apps and visualizations, result validation, and advanced release/management options. The course starts with setting up Splunk on the cloud and locally, and choosing the right platform for you. Then, you'll learn the features, components, types, and more about Splunk through this course. After that, you'll learn about Splunk apps and how to create them along with integrating data inputs, and maintaining them. Post that, you'll look at Splunk's REST API, SDK, and KV-Store. You'll explore the HTTP Event Collector (HEC). Finally, in the last section, you'll use this knowledge to build a Splunk web application. By the end of this course, you'll be able to create effective visualizations for different stakeholders with the Splunk web framework, utilize tokens and event handlers, explore SDKs, interact with REST APIs, and build a test lab for log analysis and incident response.
- Notes:
- OCLC-licensed vendor bibliographic record.
- "Updated in November 2021."
- ISBN:
- 9781803242309
- 1803242302
- OCLC:
- 1302329079
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.