Course Outline
Introduction
Overview of Tableau's Features and Architecture
- How users interact with Tableau Server
- Understanding server processes
Setting up Tableau Server
- Evaluating configuration options
- Single server installation
Setting up and Managing Users
- Adding users
- Setting authorization and assigning permissions
- Assigning users to groups and sites
- Deleting users
Working with Data
- Connecting to a data source
- Create an extract of the data
- Securing data
Managing a Site
- Creating views and workbooks
- Setting up a schedule
- Subscribing to a site
Deploying Tableau Server
- Planning a deployment to production
- Administrative roles
- Distributing Tableau Server to multiple machines
Server Maintenance
- Automating server tasks
- Monitoring server performance
- Managing log files
Administrative Tasks
- Backup up Tableau Server
- Upgrading Tableau Server
- Using command-line utilities
Extending Tableau Server
- Accessing the REST API
- Modifying the authentication method
Best Practices
- User and data oversight
- Governance, security, and scalability
Summary and Conclusion
Requirements
- System administration experience
- Basic knowledge of business intelligence concepts
Audience
- System administrators
Testimonials (5)
As someone new to Tableau it was a perfect introduction to it
PEter - Tech Northwest Skillnet
Course - Tableau Fundamentals
The training is very informative and interactive in terms of the hands-on activities.
John Marnel San Pedro - Thakral One Inc.
Course - Data analysis with Tableau
Every thing
aly - Commercial International Bank
Course - Tableau Fundamentals to Advanced
Great knowledge of the content, good examples, great rapport with the class and very understanding if anyone needed extra help. Willing to stop and go back to explain things again and in a manner in which could be easily understood.
Martina O'Neill - Tech NorthWest Skillnet
Course - Tableau Advanced
Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.