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Course Outline

Introduction to Teradata

  • Historical Background
  • Rationale for Utilizing Teradata
  • User Scalability Considerations

Relational Concepts

  • Overview of RDBMS
  • Foundations of Data Warehousing

Setup and Installation

  • Installation Procedures
  • Essential Tools and Utilities, such as BTEQ

Teradata Architecture

  • Core Components
    • Node
    • Parsing Engine
    • Message Parsing Layer - BYNET
    • Access Module Processor
  • Storage Architecture
  • Retrieval Architecture
  • High-Level Architectural Overview

Teradata Fundamental Concepts - SQL

  • Data Types
  • Table Structures
    • Permanent Tables
    • Volatile Tables
    • Global Temporary Tables
    • Derived Tables
    • Comparison of Set vs Multiset Tables
  • Data Manipulation - CRUD Operations [DDL and DML]
  • Logical and Conditional Operators
  • SET Operators
  • String Manipulation Techniques
  • Date/Time Handling
  • Built-in and Aggregate Functions
  • Joins and Subqueries
  • Indexing Strategies
    • Primary Indexes
    • Secondary Indexes

Teradata Advanced Concepts

  • CASE Expressions
  • Coalesce Functionality
  • SQL Macros
  • Stored Procedures
  • Space Management
    • Temp Space
    • Spool Space
    • Permanent Space
  • Join Strategies
  • Statistics Collection and Usage
  • Data Compression
  • Hashing Algorithms
  • OLAP Functions
  • User Management

Teradata Supplementary Concepts

  • Advanced Utilities
    • FastLoad
    • MultiLoad
    • FastExport
    • BTEQ
  • Data Protection Methodologies
  • Performance Optimization Strategies

Note: The training combines theoretical instruction with hands-on exercises. It is highly recommended that participants actively engage with the practical activities to maximize their learning experience.

Requirements

A foundational understanding of SQL and database systems is beneficial, though the essential concepts will be reviewed and covered throughout the training sessions.

 21 Hours

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