English | Size: 1.22 GB
Genre: eLearning
What you’ll learn
Build fast, scalable, and user-friendly dashboards with Tableau Desktop
Optimize data sources, calculations, filters and visuals to create high-performance workbooks
Master the same tools & techniques used by business intelligence analysts and data scientists
Showcase your Tableau Desktop skills with unique, hands-on course projects
Learn from a best-selling instructor and award-winning Tableau developer
If you’re looking to improve the speed and performance of your Tableau Desktop dashboards, this is the course for you.
In this course, you’ll be playing the role of a Business Intelligence Analyst at Bike Maven, a bicycle sharing company based in New York City. You’ve inherited a Tableau dashboard containing 3 years of accident data, but it’s so slow that it’s practically unusable. Your mission? Use the optimization tools and techniques covered in this course to make the dashboard fast, scalable, and user-friendly.
We’ll start by reviewing Tableau’s performance evaluation tools, then dive into four key optimization areas, including data design, filters, calculations, and layouts & visuals:
Course Project & Setup
Introduce the course project, set expectations, and install Tableau Desktop
Performance Evaluation
Review performance expectations, internal vs. external factors, and performance recording tools
Data Design
Optimize data models, define aggregations, and leverage Tableau extracts
Filter Optimization
Apply workbook & sheet-level filters, choose efficient filter types, and utilize filter alternatives
Calculation Optimization
Choose best-fit functions, use efficient syntax, and limit complex blends
Layout & Visuals
Create performant visuals, limit mark counts, and optimize dashboard sizing
Tableau Server & Online
Review performance factors outside of local Tableau Desktop dashboards
During the course you’ll learn how to record and interpret query performance, understand exactly how Tableau processing and rendering actually works, and review common event types and their impact on speed and usability. We’ll discuss the pros and cons of various data modeling techniques and connection types, share best practices for filter optimization, introduce pro tips to help you write efficient calculations, and review key data visualization and dashboard design principles.
Who this course is for:
Analysts or BI professionals looking to build fast, high-performance dashboards
Tableau Desktop users who want to optimize the speed and performance of existing workbooks
Anyone looking to pursue a career in data analysis, data visualization or business intelligence
Students who want a comprehensive, engaging, and highly interactive approach to training
nitro.download/view/09565939D5F26EF/TableauDesktop-SpeedPerformanceOptimization.part1.rar
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