Udemy - Data Visualization with Kibana

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  • Language: English

Files

Data Visualization with Kibana [TutsNode.com] - Data Visualization with Kibana 2. Introduction to the interface
  • 4. Discover app.mp4 (110.1 MB)
  • 1. Overview of apps.mp4 (104.0 MB)
  • 1. Overview of apps.srt (22.2 KB)
  • 2. Setting the time filter.mp4 (23.2 MB)
  • 2. Setting the time filter.srt (11.6 MB)
  • 3. Kibana Query Language (KQL).mp4 (56.8 MB)
  • 3. Kibana Query Language (KQL).srt (12.9 KB)
  • 3.1 KQL documentation.html (0.1 KB)
  • 4. Discover app.srt (17.8 KB)
  • 5. Saving queries.mp4 (24.2 MB)
  • 5. Saving queries.srt (4.2 KB)
  • 6. Inspecting requests.mp4 (15.9 MB)
  • 6. Inspecting requests.srt (3.6 KB)
  • 7. How Kibana handles time zones.mp4 (73.0 MB)
  • 7. How Kibana handles time zones.srt (9.0 KB)
  • 8. Changing Kibana’s time zone.mp4 (27.9 MB)
  • 8. Changing Kibana’s time zone.srt (2.8 KB)
1. Getting Started
  • 1. Introduction to the course.mp4 (31.8 MB)
  • 1. Introduction to the course.srt (7.5 KB)
  • 2. Introduction to Kibana.mp4 (26.0 MB)
  • 2. Introduction to Kibana.srt (5.2 KB)
  • 3. Overview of installation options.mp4 (14.6 MB)
  • 3. Overview of installation options.srt (3.4 KB)
  • 3.1 Elastic Cloud trial.html (0.1 KB)
  • 4. Running Elasticsearch & Kibana in Elastic Cloud.mp4 (42.7 MB)
  • 4. Running Elasticsearch & Kibana in Elastic Cloud.srt (6.6 KB)
  • 4.1 Elastic Cloud trial.html (0.1 KB)
  • 5. Installing Elasticsearch.html (2.0 KB)
  • 6. Installing Kibana on macOS and Linux.mp4 (19.7 MB)
  • 6. Installing Kibana on macOS and Linux.srt (5.2 KB)
  • 6.1 GitHub repository.html (0.1 KB)
  • 6.2 Kibana download link.html (0.1 KB)
  • 7. Installing Kibana on Windows.html (0.4 KB)
  • 7.1 GitHub repository.html (0.1 KB)
  • 7.2 Kibana download link.html (0.1 KB)
  • 8. Activating trial license.mp4 (14.3 MB)
  • 8. Activating trial license.srt (3.0 KB)
  • 9. Console tool.mp4 (18.8 MB)
  • 9. Console tool.srt (4.9 KB)
  • 10. Adding index templates.mp4 (33.7 MB)
  • 10. Adding index templates.srt (5.9 KB)
  • 10.1 GitHub repository.html (0.1 KB)
  • 11. Importing test data.mp4 (42.5 MB)
  • 11. Importing test data.srt (7.4 KB)
  • 11.1 cURL download link (Windows).html (0.1 KB)
  • 11.2 GitHub repository.html (0.1 KB)
  • 12. Introduction to the test data.mp4 (55.1 MB)
  • 12. Introduction to the test data.srt (12.7 KB)
  • 12.1 Nested field support (GitHub issue).html (0.1 KB)
  • 13. Creating index patterns.mp4 (40.2 MB)
  • 13. Creating index patterns.srt (9.7 KB)
3. Visualizations
  • 1. Introduction to visualizations.mp4 (8.2 MB)
  • 1. Introduction to visualizations.srt (1.6 KB)
  • 2. Introduction to aggregations.mp4 (28.8 MB)
  • 2. Introduction to aggregations.srt (5.5 KB)
  • 3. Metric visualization.mp4 (36.3 MB)
  • 3. Metric visualization.srt (12.2 KB)
  • 4. Formatting numbers.mp4 (15.1 MB)
  • 4. Formatting numbers.srt (3.7 KB)
  • 5. Vertical Bar.mp4 (30.3 MB)
  • 5. Vertical Bar.srt (8.1 KB)
  • 6. Area chart.mp4 (35.8 MB)
  • 6. Area chart.srt (8.1 KB)
  • 7. Line chart.mp4 (41.6 MB)
  • 7. Line chart.srt (8.3 KB)
  • 8. Changing the chart type.mp4 (15.3 MB)
  • 8. Changing the chart type.srt (3.3 KB)
  • 9. Pie chart.mp4 (31.8 MB)
  • 9. Pie chart.srt (8.0 KB)
  • 10. Splitting with KQL filters.mp4 (21.8 MB)
  • 10. Splitting with KQL filters.srt (4.2 KB)
  • 11. Working with numeric ranges.mp4 (15.9 MB)
  • 11. Working with numeric ranges.srt (2.8 KB)
  • 12. Working with dynamic ranges (histograms).mp4 (40.4 MB)
  • 12. Working with dynamic ranges (histograms).srt (9.6 KB)
  • 13. Customizing visualizations.mp4 (37.4 MB)
  • 13. Customizing visualizations.srt (7.8 KB)
  • 14. Data tables.mp4 (36.9 MB)
  • 14. Data tables.srt (11.4 KB)
  • 15. Heat maps.mp4 (56.8 MB)
  • 15. Heat maps.srt (11.8 KB)
  • 16. Tag clouds.mp4 (28.5 MB)
  • 16. Tag clouds.srt (5.0 KB)
  • 17. Goals & Gauges.mp4 (47.9 MB)
  • 17. Goals & Gauges.srt (11.2 KB)
  • 18. Linking visualizations to saved searches.mp4 (20.1 MB)
  • 18. Linking visualizations to saved searches.srt (5.5 KB)
  • 19. Applying saved queries to visualizations.mp4 (5.8 MB)
  • 19. Applying saved queries to visualizations.srt (2.6 KB)
4. Dashboards
  • 1. Introduction to dashboards.mp4 (11.6 MB)
  • 1. Introduction to dashboards.srt (2.1 KB)
  • 2. Creating a dashboard.mp4 (45.8 MB)
  • 2. Creating a dashboard.srt (7.7 KB)
  • 3. Editing visualizations.mp4 (33.3 MB)
  • 3. Editing visualizations.srt (6.2 KB)
  • 4. Filtering documents.mp4 (10.5 MB)
  • 4. Filtering documents.srt (2.3 KB)
  • 5. Inspecting panels.mp4 (12.3 MB)
  • 5. Inspecting panels.srt (2.9 KB)
  • 6. Creating the access logs dashboard.mp4 (17.8 MB)
  • 6. Creating the access logs dashboard.srt (2.9 KB)
  • 7. Interactivity.mp4 (34.9 MB)
  • 7. Interactivity.srt (5.8 KB)
  • 8. Drilldowns.mp4 (60.3 MB)
  • 8. Drilldowns.srt (14.0 KB)
5. Users, Roles & Spaces
  • 1. Introduction.mp4 (8.1 MB)
  • 1. Introduction.srt (1.9 KB)
  • 2. Enabling security features.mp4 (54.1 MB)
  • 2. Enabling security features.srt (9.2 KB)
  • 3. Introduction to spaces.mp4 (54.2 MB)
  • 3. Introduction to spaces.srt (11.8 KB)
  • 4. Copying objects between spaces.mp4 (56.8 MB)
  • 4. Copying objects between spaces.srt (10.6 KB)
  • 4.1 Sharing objects between spaces (GitHub issue).html (0.1 KB)
  • 5. Creating and managing use

Description


Description

Are you a software developer, and do you want to learn Kibana? Then look no further — you have come to the right place! This course is the best way for you to quickly learn Kibana and put your knowledge to use within just a few hours. Forget about watching countless of YouTube tutorials, webinars, and blog posts; this course is the single resource you need to learn Kibana. In fact, this is by far the most comprehensive course on Kibana you will find!

So what is Kibana, and why should you take the time to learn it? Kibana is part of the ELK stack (Elasticsearch, Logstash, Kibana) and the Elastic Stack. It’s often referred to as the window into Elasticsearch. With Kibana, you can visualize the data stored within an Elasticsearch cluster. This includes everything from running ad hoc queries, creating visualizations such as line charts and pie charts, and displaying data on dashboards. Kibana enables you to easily interact with your data, providing a much better experience than writing Elasticsearch queries. Slicing and dicing data is easy, and navigating between different datasets can be done without losing context. As such, Kibana is an excellent tool for data analysis, exploration, and investigation. Dashboards are a key feature, enabling us to provide ourselves and teams with overviews of relevant data. For instance, we could create a dashboard for a sales department, and another for software engineers.

Kibana is also commonly used for monitoring data, for instance in the context of observability. By using Kibana and the Elastic Stack for observability, you can gain insight into the performance of applications (APM), monitor service uptime, keep an eye on hardware and service utilization, etc. Apart from that, Kibana is also frequently used for security analysis and managing machine learning jobs.

Needless to say, Kibana is an incredibly powerful tool for visualizing, analyzing, and monitoring Elasticsearch data.
Who this course is for:

Developers wanting to work with and visualize Elasticsearch data

Requirements

Basic understanding of Elasticsearch

Last Updated 11/2020



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Udemy - Data Visualization with Kibana


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1.9 GB
seeders:15
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Udemy - Data Visualization with Kibana


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