Tableau Server Training
Tableau Server Training Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Position yourself for success in the dynamic field of Tableau by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Tableau Server Training is suitable for the following target audiences:
System Administrators: Experts in enterprise-level system management and upkeep who wish to focus on Tableau Server.
Data Analysts and Business Intelligence Professionals: Professionals in data analysis and business intelligence: Those want to improve their reporting and data visualization skills using Tableau Server administration.
IT specialists: Those who work in corporate settings to implement and maintain data analytics solutions.
Project managers: To guarantee project success, managers in charge of data analytics initiatives must be knowledgeable about Tableau Server.
Data Engineers: Data engineers are experts in data preparation and integration who wish to use Tableau Server to expedite data delivery.
Tableau Server Administrator: Managing and improving the Tableau Server infrastructure to provide high availability and performance is the responsibility of the Tableau Server Administrator.
Business intelligence analyst: developing and overseeing reports and dashboards, making sure that data is shared securely using Tableau Server.
Data Engineer: Ensuring effective data distribution and integrating Tableau Server with enterprise data systems.
BI Developer: Using Tableau Server to design and deploy scalable BI applications.
IT Administrator: Assisting with Tableau Server functions, such as troubleshooting and user management.
Jobs are available in sectors like technology, healthcare, retail, and finance, and companies in the USA and Canada are actively looking for Tableau Server specialists to lead data-driven projects.
- An overview of the architecture of Tableau Server
- Tableau Desktop and Tableau Server Distinctions
- Tableau Server parts and procedures
- System requirements and installation prerequisites
- Tableau Server editions and licensing
- Setting up Tableau Server in a simple setting
- Comprehending Tableau Server nodes and procedures
- Initial setup and configuration
- Planning for server topology
- Fundamentals of file stores and repositories
- Overview of the Command Line Interface (TSM)
- Setting up the server
- Practical: Use TSM commands to configure Tableau Server.
- Techniques for authentication (Local, Active Directory, SAML)
- establishing and overseeing groups and users
- Permissions and roles on the site
- Security at the project level
- Permissions for content and governance
- Hands On: Establish role-based permissions and user groups.
- Workbooks and data sources published
- Management of data sources
- Organising content through initiatives
- Setting up workbook updates
- Controlling the refreshes of extracts
- Hands On: Transfer dashboards from Tableau Desktop to Tableau Server.
- Tools for monitoring Tableau servers
- Comprehending server logs
- Recording and evaluating performances
- Dashboard optimization for server performance
- Concepts of load balancing
- Practical: Use the integrated monitoring tools to examine server performance.
- Strategies for server backups
- Carrying out backup and restore tasks
- Cleaning and maintenance duties
- Tableau Server version upgrades
- Fundamentals of disaster recovery
- Practical: Use TSM commands to do backup and restoration.
- Using scripts to automate processes
- Using the REST API for Tableau
- Automating the provisioning of users
- Overseeing planned duties
- Connecting Tableau Server to other systems
- Hands On: Use the REST API to automate basic server operations.
- Mock Interviews & Job Placement
- Presentation of the capstone project
Tableau Server is a platform that lets organizations publish, share, and manage dashboards and reports created in Tableau. Organizations can safely publish, share and manage Tableau dashboards and data sources with Tableau Server.
Basic understanding with Tableau Desktop is recommended but not essential.
The duration is 2 months (8 weeks), with sessions held 2 times per week (either during week or weekends), including theory, hands-on practice and project work.
Yes, upon successful completion, you’ll receive a Certificate of Completion from Checkmate IT Tech.
Indeed. There are practical exercises like publishing dashboards, setting up security, and tracking performance every week.
We offer online training classes to promote easy access to all candidates. Recordings are also made available for revision or if you miss a session.
Yes. We provide resume reviews, mock interviews, LinkedIn optimization, and guidance on job portals to help boost your chances in the job market.
Tableau Services Manager (TSM), the admin interface and the REST API are frequently used by administrators.
Yes, the Tableau Server is used by many big businesses for sharing data visualizations and enterprise analytics.
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
Email info@checkmateittech.com OR Call Us +1-347-4082054
- Submit Form
Job opportunities in USA and Canada
Tableau Server Administrator: Managing and improving the Tableau Server infrastructure to provide high availability and performance is the responsibility of the Tableau Server Administrator.
Business intelligence analyst: developing and overseeing reports and dashboards, making sure that data is shared securely using Tableau Server.
Data Engineer: Ensuring effective data distribution and integrating Tableau Server with enterprise data systems.
BI Developer: Using Tableau Server to design and deploy scalable BI applications.
IT Administrator: Assisting with Tableau Server functions, such as troubleshooting and user management.
Jobs are available in sectors like technology, healthcare, retail, and finance, and companies in the USA and Canada are actively looking for Tableau Server specialists to lead data-driven projects.
