Data Warehousing with Teradata Training

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Data Warehousing with Teradata Training Syllabus, designed for database developers, data engineers, analysts, and BI professionals who want to specialize in enterprise data warehousing using Teradata.

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Overview

The Syllabus

Curriculum Designed by Experts

Module 1: Introduction to Data Warehousing (3–4 Hours)

• Data Warehouse vs Database
• OLTP vs OLAP systems
• Star Schema, Snowflake Schema, and Galaxy Schema
• Dimension and Fact tables
• Data Marts, ETL & ELT concepts
• Slowly Changing Dimensions (SCD Types 1–3)
• ETL tools overview (Informatica, DataStage, etc.)

Module 2: Teradata Architecture and Components (4–5 Hours)

• Introduction to Teradata
• Features and benefits of Teradata
• Teradata vs other RDBMS
• Teradata architecture overview
• AMPs (Access Module Processors)
• PEs (Parsing Engines), BYNET, and nodes
• Data distribution and parallelism

Module 4: Teradata SQL – Querying & Data Manipulation (5–6 Hours)

• SELECT statements and expressions
• JOINs (Inner, Outer, Cross, Self)
• Subqueries and Correlated Subqueries
• Aggregations and GROUP BY
• CASE statements and conditional logic
• SET operators (UNION, INTERSECT, MINUS)

Module 5: Teradata SQL – DDL & DML (4 Hours)

• CREATE, ALTER, DROP statements
• INSERT, UPDATE, DELETE operations
• Data types and constraints
• Views, Macros, and Stored Procedures

Module 5: Detailed Scheduling Concepts (5 Hours)

• IPv4 and IPv6 Configuration
• Network Policies with NPS
• Remote Access: VPN and DirectAccess
• Software–defined networking (SDN)
• Configuring Windows Firewall with Advanced Security

Module 6: Teradata Utilities & Tools (6–7 Hours)

• Teradata SQL Assistant and BTEQ
• FastLoad: Bulk insert utility
• MultiLoad: Multiple table load/update
• TPump: Low–volume real–time loads
• FastExport: Data extraction
• TPT (Teradata Parallel Transporter)
• Error handling and restart logic

Module 7: Teradata Performance Tuning (4–5 Hours)

• Explain Plan and query analysis
• Collecting statistics and data demographics
• Skew factor and system performance
• PI and Secondary Index best practices
• Partitioned Primary Index (PPI)
• Join strategies and optimization

Module 8: Teradata Data Warehousing Solutions (4 Hours)

• Building an Enterprise Data Warehouse in Teradata
• Logical and Physical Data Modeling for Teradata
• ETL/ELT approaches
• Real–time and batch processing
• Metadata management

Module 9: Security, Access Control & User Management (2–3 Hours)

• Roles and profiles
• Access rights and privileges
• Auditing and data masking
• Views for security and abstraction

Module 10: Teradata in the Cloud & Integration (2–3 Hours)

• Teradata Vantage and Teradata in AWS/Azure/GCP
• Connecting BI tools (Tableau, Power BI)
• Integrating with ETL tools
• Teradata REST APIs

Assignments & Capstone Projects

• Create a complete Star Schema in Teradata
• Load and transform data using FastLoad/MultiLoad
• Optimize a poorly performing query
• Build a mini–warehouse for a Sales/Finance domain
• Real–time data ingestion simulation using TPump

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