Teradata Certification Training Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
A comprehensive and hands-on Teradata training program designed for data professionals seeking to master enterprise data warehousing on the Teradata platform. This course spans 8 modules over approximately 8 weeks, with each module requiring 6–8 hours of engagement, including lectures and hands-on labs. Learners will gain practical experience in Teradata architecture, SQL programming, data loading, performance tuning, security, and high availability. The curriculum concludes with a capstone project simulating a real-world data warehouse lifecycle, preparing students for production environments and certification readiness.
Module 1: Introduction to Teradata & Architecture
Estimated time: 7 hours
- Understand the Teradata ecosystem and MPP architecture
- Explore AMP functionality and data flow within nodes
- Learn about the parsing engine, BYNET, and parallel processing
- Run diagnostic scripts on a multi-node Teradata setup
Module 2: Teradata SQL & Data Modeling
Estimated time: 7 hours
- Design primary and secondary indexes for optimal data distribution
- Compare normalized vs. denormalized data models
- Implement partitioned primary indexes (PPI)
- Analyze data distribution using query explain plans
Module 3: Data Loading & Unloading Utilities
Estimated time: 7 hours
- Use FastLoad for high-speed data ingestion
- Apply MultiLoad for incremental updates and extraction
- Operate Teradata Parallel Transporter (TPT) for scalable data movement
- Execute basic BTEQ scripts for data export
Module 4: Query Tuning & Performance Optimization
Estimated time: 7 hours
- Collect and manage statistics for query optimization
- Analyze EXPLAIN plans to identify performance bottlenecks
- Apply optimizer directives and join strategies
- Tune slow-running queries using indexing and statistics
Module 5: Advanced SQL & Scripting
Estimated time: 7 hours
- Create and manage macros for reusable SQL logic
- Develop stored procedures to enforce business rules
- Implement user-defined functions (UDFs) in Teradata
- Write recursive queries for hierarchical data retrieval
Module 6: Workload Management & Security
Estimated time: 7 hours
- Configure workload management using Teradata Viewpoint
- Set resource limits and throttles for query prioritization
- Define user profiles, roles, and access privileges
- Implement row-level security policies
Module 7: Backup, Recovery & High Availability
Estimated time: 7 hours
- Perform full and incremental backups using ARC utility
- Configure TDP for reliable backup operations
- Design failover and disaster recovery strategies
- Simulate node failure and recovery scenarios
Module 8: Capstone Project
Estimated time: 10 hours
- Design an end-to-end retail data warehouse pipeline
- Implement ETL processes using FastLoad and TPT
- Optimize queries and present performance metrics
Prerequisites
- Familiarity with SQL fundamentals
- Basic understanding of relational database concepts
- Experience with command-line interfaces is recommended
What You'll Be Able to Do After
- Design and manage scalable Teradata data warehouses
- Optimize query performance using indexing and statistics
- Implement efficient data loading and extraction workflows
- Enforce security and workload management policies
- Design backup, recovery, and high-availability solutions