Teradata - A Comprehensive Guide to Advanced Data Warehousing

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Free Download Teradata - A Comprehensive Guide to Advanced Data Warehousing
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 57m | Size: 2.23 GB
Unlock the power of Teradata for enterprise-level data management and analytics with this all-inclusive course!

What you'll learn
The fundamentals and advantages of Teradata.
Teradata architecture, including SMP and MPP systems.
Primary and Secondary Index mechanics for efficient data access.
Advanced topics like hashing techniques, data protection, and locking mechanisms.
RAID technology, BYNET functionality, and fallback strategies.
How to optimize data warehousing with Teradata's features.
Requirements
Basic knowledge of database concepts. Familiarity with SQL is helpful but not mandatory. A passion for learning enterprise-level data warehousing solutions.
Description
Course Introduction:Teradata is a leading data warehousing solution trusted by enterprises for its scalability, reliability, and performance. This course equips students with a deep understanding of Teradata's architecture, functionalities, and features. From its fundamental principles to advanced concepts like hashing techniques, indexing, and data protection, this course is tailored for aspiring data professionals. Whether you are starting out or want to sharpen your skills, this course is the perfect gateway to mastering Teradata.Section 1: Getting Started with TeradataThis section serves as an introduction to Teradata, providing an overview of its features and its role in data warehousing. Students will gain foundational knowledge about the platform and understand how it fits into the broader data ecosystem.Section 2: Core Concepts of TeradataExplore the advantages of Teradata, its unique capabilities, and its core components like the Access Module Processor and Virtual Storage. This section lays the groundwork for understanding Teradata's powerful data management abilities.Section 3: Deep Dive into Teradata ArchitectureThis extensive section covers Teradata's architectural features and objects in detail, including MPP (Massively Parallel Processing) systems, database hierarchies, primary index mechanics, and hashing techniques. Students will also learn about space allocation and management, providing a comprehensive understanding of Teradata's internal workings.Section 4: Advanced Indexing MechanismsDiscover the functionality and differences between Unique and Non-Unique Secondary Indexes. This section also explores full table scans, emphasizing how indexing can optimize data access and retrieval.Section 5: System Architecture OverviewLearn about the system architecture of Teradata, including SMP (Symmetric Multiprocessing) and MPP systems. This section delves into the backbone of Teradata's performance and scalability.Section 6: Systems and BYNET TechnologyUnderstand the role of BYNET, a high-speed interconnect used in Teradata systems, and its integration into the overall architecture. This section explains how Teradata achieves efficient communication across components.Section 7: Data Protection and ReliabilityThis section focuses on Teradata's data protection mechanisms, including RAID technology, fallback solutions, and cliques. Students will understand how Teradata ensures data reliability and fault tolerance.Section 8: Clusters, Fallbacks, and Locking MechanismsExplore Teradata's advanced features for data redundancy and concurrency control. Topics like fallback clusters and locking strategies are discussed to ensure seamless database operations in multi-user environments.Conclusion:This course equips you with the expertise to leverage Teradata's capabilities for enterprise-level data warehousing and analytics. By mastering its architecture, indexing strategies, and data protection mechanisms, you will be well-prepared to tackle real-world challenges in data management.
Who this course is for
Database administrators and data professionals seeking to expand their skill set.
IT professionals exploring enterprise-level data warehousing solutions.
Students or beginners eager to learn data warehousing with Teradata.
Anyone interested in optimizing large-scale data storage and retrieval systems.
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Teradata: A Comprehensive Guide To Advanced Data Warehousing
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.19 GB | Duration: 5h 58m​

Unlock the power of Teradata for enterprise-level data management and analytics with this all-inclusive course!

What you'll learn

The fundamentals and advantages of Teradata.

Teradata architecture, including SMP and MPP systems.

Primary and Secondary Index mechanics for efficient data access.

Advanced topics like hashing techniques, data protection, and locking mechanisms.

RAID technology, BYNET functionality, and fallback strategies.

How to optimize data warehousing with Teradata's features.

Requirements

Basic knowledge of database concepts. Familiarity with SQL is helpful but not mandatory. A passion for learning enterprise-level data warehousing solutions.

Description

Course Introduction:Teradata is a leading data warehousing solution trusted by enterprises for its scalability, reliability, and performance. This course equips students with a deep understanding of Teradata's architecture, functionalities, and features. From its fundamental principles to advanced concepts like hashing techniques, indexing, and data protection, this course is tailored for aspiring data professionals. Whether you are starting out or want to sharpen your skills, this course is the perfect gateway to mastering Teradata.Section 1: Getting Started with TeradataThis section serves as an introduction to Teradata, providing an overview of its features and its role in data warehousing. Students will gain foundational knowledge about the platform and understand how it fits into the broader data ecosystem.Section 2: Core Concepts of TeradataExplore the advantages of Teradata, its unique capabilities, and its core components like the Access Module Processor and Virtual Storage. This section lays the groundwork for understanding Teradata's powerful data management abilities.Section 3: Deep Dive into Teradata ArchitectureThis extensive section covers Teradata's architectural features and objects in detail, including MPP (Massively Parallel Processing) systems, database hierarchies, primary index mechanics, and hashing techniques. Students will also learn about space allocation and management, providing a comprehensive understanding of Teradata's internal workings.Section 4: Advanced Indexing MechanismsDiscover the functionality and differences between Unique and Non-Unique Secondary Indexes. This section also explores full table scans, emphasizing how indexing can optimize data access and retrieval.Section 5: System Architecture OverviewLearn about the system architecture of Teradata, including SMP (Symmetric Multiprocessing) and MPP systems. This section delves into the backbone of Teradata's performance and scalability.Section 6: Systems and BYNET TechnologyUnderstand the role of BYNET, a high-speed interconnect used in Teradata systems, and its integration into the overall architecture. This section explains how Teradata achieves efficient communication across components.Section 7: Data Protection and ReliabilityThis section focuses on Teradata's data protection mechanisms, including RAID technology, fallback solutions, and cliques. Students will understand how Teradata ensures data reliability and fault tolerance.Section 8: Clusters, Fallbacks, and Locking MechanismsExplore Teradata's advanced features for data redundancy and concurrency control. Topics like fallback clusters and locking strategies are discussed to ensure seamless database operations in multi-user environments.Conclusion:This course equips you with the expertise to leverage Teradata's capabilities for enterprise-level data warehousing and analytics. By mastering its architecture, indexing strategies, and data protection mechanisms, you will be well-prepared to tackle real-world challenges in data management.

Overview

Section 1: Introduction

Lecture 1 Teradata Introduction

Section 2: Teradata Basics

Lecture 2 Teradata Advantages

Lecture 3 Access Module Processor

Lecture 4 Teradata Virtual storage

Section 3: Teradata Background

Lecture 5 Teradata Introduction 1

Lecture 6 Teradata Introduction 2

Lecture 7 Teradata Introduction 3

Lecture 8 Teradata Introduction 4

Lecture 9 Teradata - Architectural Features and Objects 1

Lecture 10 Teradata - Architectural Features and Objects 2

Lecture 11 Teradata - Architectural Features and Objects 3

Lecture 12 Teradata - Architectural Features and Objects 4

Lecture 13 Teradata - Architectural Features and Objects 5

Lecture 14 Teradata - Architectural Features and Objects 6

Lecture 15 Teradata - Architectural Features and Objects 7

Lecture 16 Teradata - Architectural Features and Objects 8

Lecture 17 MPP Systems

Lecture 18 MPP Systems continued

Lecture 19 Database and Users (Database and Users)

Lecture 20 Database and Users (Database and Users) continued

Lecture 21 Hierarchy of Database and Users

Lecture 22 Types of Space

Lecture 23 Types of Space continued

Lecture 24 PI Access and Mechanics (Primary Key and Index)

Lecture 25 Primary Key and Index continued

Lecture 26 Specifying Primary Index and Values

Lecture 27 Specifying Primary Index and Values continued

Lecture 28 Primary Index Access

Lecture 29 Primary Index Access continued

Lecture 30 Highly Non-Unique Primary Index Access and Hashing Technique

Lecture 31 Highly Non-Unique Primary Index Access and Hashing Technique continued

Lecture 32 Hash Map,Identifying,Storing and Location row on amp

Lecture 33 Hash Map,Identifying,Storing and Location row on amp continued

Section 4: Unique & Non-Unique Secondary Index access

Lecture 34 Unique Secondary Index access

Lecture 35 Unique Secondary Index access continued

Lecture 36 Non-Unique Secondary Index Access

Lecture 37 Full Table Scans

Section 5: System Architecture

Lecture 38 System Architecture - SMP and MPP Systems

Lecture 39 System Architecture - SMP and MPP Systems continued

Section 6: Systems and BYNET

Lecture 40 Systems and BYNET

Lecture 41 Systems and BYNET Continued

Section 7: Data Protection and RAID Technology

Lecture 42 Data Protection and RAID Technology

Lecture 43 Data Protection and RAID Technology continued

Lecture 44 Clique and Fallback

Section 8: Fallbacks clusters and locks

Lecture 45 Fallbacks clusters and locks 1

Lecture 46 Fallbacks clusters and locks 2

Lecture 47 Fallbacks clusters and locks 3

Database administrators and data professionals seeking to expand their skill set.,IT professionals exploring enterprise-level data warehousing solutions.,Students or beginners eager to learn data warehousing with Teradata.,Anyone interested in optimizing large-scale data storage and retrieval systems.

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