Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering Tableau 2019.1

You're reading from   Mastering Tableau 2019.1 An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1

Arrow left icon
Product type Paperback
Published in Feb 2019
Publisher
ISBN-13 9781789533880
Length 558 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Marleen Meier Marleen Meier
Author Profile Icon Marleen Meier
Marleen Meier
David Baldwin David Baldwin
Author Profile Icon David Baldwin
David Baldwin
Arrow right icon
View More author details
Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Tableau Concepts, Basics FREE CHAPTER
2. Getting Up to Speed - A Review of the Basics 3. All About Data - Getting Your Data Ready 4. Tableau Prep 5. All About Data - Joins, Blends, and Data Structures 6. All About Data - Data Densification, Cubes, and Big Data 7. Table Calculations 8. Level of Detail Calculations 9. Section 2: Advanced Calculations, Mapping, Visualizations
10. Beyond the Basic Chart Types 11. Mapping 12. Tableau for Presentations 13. Visualization Best Practices and Dashboard Design 14. Advanced Analytics 15. Improving Performance 16. Section 3: Connecting Tableau to R, Python, and Matlab
17. Interacting with Tableau Server 18. Programming Tool Integration 19. Other Books You May Enjoy

Performance-recording dashboard events

In the Exploring performance recording in Tableau Desktop exercise of this chapter, the Events worksheet from the Performance Recording dashboard was accessed and the Event group was considered. The list of possible events is substantial. This section will not consider every event possibility, but will instead focus on the most common events that impact performance. And briefly consider how to address performance concerns.

See the following list regarding performance considerations:

Event type

Performance considerations

Connecting to Data Source

Poor performance when connecting to the data source could indicate network latency or database issues.

Generating Extract

See sections in this chapter for information regarding extract performance.

Compiling Query

Compile Query performance problems could indicate database issues...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime