LearnQuest
Getting Started with Teradata
LearnQuest

Getting Started with Teradata

Eric Grose

位教师:Eric Grose

包含在 Coursera Plus

深入了解一个主题并学习基础知识。
初级 等级

推荐体验

2 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
初级 等级

推荐体验

2 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Install, Configure, and use Teradata Studio

  • Data Management with Teradata

  • Data Modeling Basics with Teradata

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

25 项作业

授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Data Analytics with Teradata 专项课程 专项课程的一部分
在注册此课程时,您还会同时注册此专项课程。
  • 向行业专家学习新概念
  • 获得对主题或工具的基础理解
  • 通过实践项目培养工作相关技能
  • 获得可共享的职业证书

该课程共有5个模块

This module introduces Teradata's integral role in analytics architecture, emphasizing its ability to process and store diverse data, thereby converting it into valuable assets for organizations. Participants will learn how Teradata handles data from initial collection through to sophisticated processing and final analysis within Business Intelligence tools. The module delineates the distinct stages of data processing in Teradata, highlighting the journey from raw, unfiltered data to its refined, structured form. Key components of the Teradata Database Management System, such as Virtual Disks, the Parsing Engine, the Message Parsing Layer, and Access Module Processors, are explored, illustrating their specific functions in transforming data into actionable insights. Additionally, the module covers Teradata’s Massively Parallel Processing architecture, detailing how its design enables efficient, high-speed data processing and analysis. This comprehensive overview equips Data Analysts with the foundational knowledge needed to leverage Teradata’s robust analytics capabilities effectively.

涵盖的内容

9个视频6篇阅读材料6个作业1个讨论话题1个插件

This module provides a comprehensive guide on installing, configuring, and effectively using Teradata Studio, focusing on equipping learners with the necessary skills to manage and interact with Teradata databases efficiently. Beginning with the installation process, the module offers step-by-step instructions tailored for both Windows and Mac users. Learners will explore the critical configurations needed to set up a Teradata Database, from creating administrative profiles to establishing the first database tables. You’ll distinguish the essentials of data management in Teradata, highlighting the different data types and SQL syntax to optimize data storage and retrieval. Practical demonstrations throughout the module reinforce the theoretical knowledge, and simulations allow you to click through the steps of the instructor demonstrations. By the end of this module, you will have the initial setup of Teradata Studio that lets you utilize its features for the rest of this specialization.

涵盖的内容

12个视频5篇阅读材料7个作业1个讨论话题3个插件

In this module, you'll deepen your understanding of how to manage data effectively within the Teradata Vantage system. Starting with a practical look at the EXPLAIN plan, you will learn how this essential tool can help optimize your SQL queries by revealing the execution path and offering insights on how to enhance performance. Through instructor demonstrations and software simulations, you'll see how to apply the EXPLAIN command to actual data queries within Teradata Studio, giving you the skills to analyze and improve query efficiency in your future projects. This will be especially useful for queries that are complex or slow to process, helping you streamline operations and save valuable time. Furthermore, this module covers the critical roles and permissions within a Teradata environment. You'll explore the distinct responsibilities of Data Analysts, Database Administrators, and Developers, learning how each role contributes to secure and efficient database management. By understanding these roles, you'll be better equipped to manage data securely, ensuring that access is appropriately granted, and sensitive information is protected.

涵盖的内容

5个视频3篇阅读材料3个作业1个讨论话题

In Module 4, you will recognize the practical skills required to load data efficiently into Teradata, focusing on two primary techniques: bulk and batch data loading. As someone who may already have IT or database experience, you'll appreciate the nuances of how these methods improve performance and scalability in a Teradata environment. Starting with the distinction between bulk and batch data, you'll explore the conditions under which each method is preferable, learning to differentiate between scenarios that call for either bulk loading of large historical datasets or more frequent batch uploads. You'll be equipped with step-by-step guidance on using the Teradata Studio GUI to upload data, an essential skill for handling substantial volumes efficiently. Throughout the module, practical demonstrations and simulations will allow you to see these processes in action. By the end, you will not only recognize various data-loading use cases but also be proficient in executing them within Teradata Studio. This hands-on approach ensures you can apply what you learn directly to real-world data management tasks, effectively preparing you for roles that require advanced data handling capabilities.

涵盖的内容

8个视频4篇阅读材料3个作业1个讨论话题1个插件

Module 5 is designed to equip you with a thorough understanding of data normalization and its importance in constructing efficient databases. This module is particularly valuable for those new to Teradata or transitioning from other IT disciplines, focusing on the practical applications of data modeling techniques. You will systematically explore the three forms of data normalization, detailed through explicit examples that demonstrate the transformation of data from unstructured to structured formats. Emphasis is placed on the third normal form, which is essential for reducing data redundancy and enhancing query performance. Additionally, the module distinguishes between logical and physical data models, essential knowledge for designing and implementing functional database systems. You will learn to integrate time-based columns into your data models, a critical step for creating relevant and timely analyses. Through direct instruction and practical exercises, you will develop the skills necessary for effective data management, preparing you to handle complex database tasks and improve system performance in any organizational context.

涵盖的内容

14个视频3篇阅读材料6个作业2个讨论话题

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位教师

Eric Grose
LearnQuest
3 门课程282 名学生

提供方

LearnQuest

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