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Learn Grafana 10.x

You're reading from   Learn Grafana 10.x A beginner's guide to practical data analytics, interactive dashboards, and observability

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781803231082
Length 542 pages
Edition 2nd Edition
Languages
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Author (1):
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Eric Salituro Eric Salituro
Author Profile Icon Eric Salituro
Eric Salituro
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Table of Contents (23) Chapters Close

Preface 1. Part 1 – Getting Started with Grafana
2. Chapter 1: Introducing Data Visualization with Grafana FREE CHAPTER 3. Chapter 2: Touring the Grafana Interface 4. Chapter 3: Diving into Grafana's Time Series Visualization 5. Part 2 – Real-World Grafana
6. Chapter 4: Connecting Grafana to a Prometheus Data Source 7. Chapter 5: Extracting and Visualizing Data with InfluxDB and Grafana 8. Chapter 6: Shaping Data with Grafana Transformations 9. Chapter 7: Surveying Key Grafana Visualizations 10. Chapter 8: Surveying Additional Grafana Visualizations 11. Chapter 9: Creating Insightful Dashboards 12. Chapter 10: Working with Advanced Dashboard Features and Elasticsearch 13. Chapter 11: Streaming Real-Time IoT Data from Telegraf Agent to Grafana Live 14. Chapter 12: Monitoring Data Streams with Grafana Alerts 15. Chapter 13: Exploring Log Data with Grafana’s Loki 16. Part 3 – Managing Grafana
17. Chapter 14: Organizing Dashboards and Folders 18. Chapter 15: Managing Permissions for Users, Teams, and Organizations 19. Chapter 16: Authenticating Grafana Logins Using LDAP or OAuth 2 Providers 20. Chapter 17: Cloud Monitoring AWS, Azure, and GCP 21. Index 22. Other Books You May Enjoy

About Grafana DataFrames and transformations

While it is easy to imagine that Grafana simply takes the results of one or more data source queries, and somehow feeds them to the panel visualization of your choice, the reality is a bit more complex than that.

Every query result from the Query tab is managed separately as an independent data series by Grafana. That way, you have full control over each series and how it may be displayed in a panel visualization.

Next, each of those datasets is packaged into a single object Grafana referred to as a DataFrame. If you are at all familiar with Excel or Google spreadsheets from the financial world, or pandas or Spark from the data science world, you already have experience with the concept.

A Grafana DataFrame is, like similar objects, a rows and columns (technically an array of arrays) data structure, with each row a combination of one or more columnar fields. Because the DataFrame is a consistent data structure, it can easily be...

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