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Getting Started with Teradata

Eric Grose

This course will equip learners with a comprehensive understanding of Teradata Vantage's core concepts, architecture, and data management capabilities. Instruction focuses on foundational knowledge crucial for database administrators, IT managers, and data architects. Upon completion, learners will be able to: install and configure a Teradata database, load data appropriately, perform queries using SQL commands, and use data modeling to prepare data for more advanced query operations.

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This course will equip learners with a comprehensive understanding of Teradata Vantage's core concepts, architecture, and data management capabilities. Instruction focuses on foundational knowledge crucial for database administrators, IT managers, and data architects. Upon completion, learners will be able to: install and configure a Teradata database, load data appropriately, perform queries using SQL commands, and use data modeling to prepare data for more advanced query operations.

“Getting Started with Teradata” is the first course in our Teradata specialization, which will give you the foundational understanding and experience to begin, pivot, or advance your career in database administration, IT management, or data architecture.

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What's inside

Syllabus

Overview of Teradata
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.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Focuses on foundational knowledge crucial for database administrators, IT managers, and data architects
Provides hands-on labs and interactive materials for practical experience
Builds a strong foundation for beginners in database management and analytics
Involves data modeling techniques, which are essential for designing and implementing functional database systems
Taught by Eric Grose, an experienced instructor in the field of data and analytics
Requires proficiency in SQL commands, which may be a limitation for learners with no prior database experience

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Getting Started with Teradata with these activities:
Attend: Teradata User Group Meetings
Attend Teradata User Group meetings to connect with other Teradata users, learn about best practices, and stay up-to-date on the latest Teradata technologies to expand your knowledge and network.
Browse courses on Teradata
Show steps
  • Locate a Teradata User Group in your area
  • Attend a Teradata User Group meeting
  • Participate in discussions and ask questions
  • Exchange contact information with other attendees
Teradata Studio Tutorial
Familiarize yourself with the interface and functionality of Teradata Studio through guided tutorials.
Show steps
  • Follow online tutorials or documentation on Teradata Studio.
  • Practice navigating the Studio interface and performing basic database operations.
Study Group Discussions
Engage in discussions and knowledge sharing with peers to reinforce your understanding of Teradata Vantage concepts.
Show steps
  • Join or create a study group with other learners of this course.
  • Meet regularly to discuss course topics, share insights, and work on practice problems together.
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Attend: Teradata Training Workshop
Attend a Teradata training workshop to gain hands-on experience with Teradata technologies and best practices to supplement and reinforce your learning from the course.
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Show steps
  • Research and identify a Teradata training workshop that aligns with your learning goals
  • Register for the workshop
  • Attend the workshop and actively participate in the exercises and discussions
  • Apply the knowledge and skills gained from the workshop to your coursework
Review SQL Syntax
Revisit and reinforce your understanding of basic SQL syntax before diving into Teradata Vantage.
Show steps
  • Review online tutorials and resources on SQL syntax.
  • Practice writing SQL queries using an online SQL editor or local database.
Tutorials: Data Modeling with Teradata
Follow online tutorials to learn about data modeling concepts and techniques specific to Teradata to enhance your understanding of data management and database design.
Browse courses on Data Modeling
Show steps
  • Identify reputable online tutorials on data modeling with Teradata
  • Follow the tutorials and take notes on the key concepts
  • Practice applying the concepts learned in the tutorials
  • Seek clarification or support from the tutorial authors or online forums
Explore online tutorials and resources for Teradata
Expand your knowledge and skills by seeking out additional learning resources that provide practical guidance and insights on Teradata.
Show steps
  • Search for tutorials on topics related to Teradata Vantage
  • Follow along with the tutorials and complete hands-on exercises
  • Utilize online forums and communities to seek help and share knowledge
Drills: SQL Queries
Practice writing SQL queries to retrieve and manipulate data in Teradata to reinforce your understanding of SQL syntax and data retrieval techniques.
Browse courses on SQL
Show steps
  • Identify a dataset to practice on
  • Write SQL queries to perform basic data retrieval operations
  • Write SQL queries to perform more complex data retrieval operations
  • Write SQL queries to update and delete data
Review SQL basics
Reinforce your foundational knowledge of SQL to strengthen your understanding of Teradata Vantage's data management capabilities.
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Show steps
  • Review the syntax and structure of basic SQL commands
  • Practice using SQL commands to create and manipulate tables
  • Test your understanding by completing practice exercises
Data Manipulation Exercises
Enhance your data manipulation skills by practicing with SQL queries and data manipulation exercises.
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Show steps
  • Use an online SQL practice platform or local database to work on data manipulation exercises.
  • Focus on tasks like data filtering, sorting, grouping, and aggregation.
Install and Configure a Teradata Database
By installing and configuring a Teradata database, you will develop a deep understanding of Teradata's architecture and the skills required for database administration.
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Show steps
  • Review the Teradata documentation on installation and configuration.
  • Download the Teradata software and install it on a computer.
  • Create a Teradata user and database.
  • Configure the Teradata database settings.
  • Test the Teradata database connection.
Exploring Teradata Studio Features
Develop proficiency in using Teradata Studio, a powerful tool for managing and interacting with Teradata databases.
Show steps
  • Access and navigate the Teradata Studio interface.
  • Create and manage Teradata databases and tables.
  • Write and execute SQL queries using Teradata Studio.
  • Familiarize yourself with Teradata Studio's data visualization capabilities.
Deliverable: Data Loading Script
Write a SQL script to load data into Teradata using the techniques learned in the course to demonstrate your proficiency in data management.
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Show steps
  • Gather the data to be loaded
  • Determine the appropriate data loading method
  • Write the SQL script to load the data
  • Test the SQL script
  • Document the SQL script
Solve practice exercises on Teradata query optimization
Enhance your abilities in optimizing SQL queries by practicing with a variety of exercises that challenge your understanding.
Show steps
  • Find practice exercises on query optimization in Teradata
  • Attempt to solve the exercises using the EXPLAIN plan
  • Analyze the query execution path and identify potential bottlenecks
  • Apply optimization techniques to improve query performance
Project: Design a Database
Design a database using the concepts and techniques learned in the course to reinforce your understanding of data management and database architecture.
Browse courses on Data Modeling
Show steps
  • Define the purpose and scope of the database
  • Identify and analyze the data requirements
  • Create a conceptual data model
  • Translate the conceptual data model into a physical data model
  • Implement the database using Teradata
Data Modeling Basics
Helps solidify understanding of data modeling concepts and their application in database design.
Browse courses on Data Normalization
Show steps
  • Review the principles of data normalization.
  • Apply normalization techniques to sample datasets.
  • Design and implement a data model for a given business scenario.
Create a small data warehouse using Teradata
Apply your skills in loading and managing data to build a practical data warehouse solution that can be valuable in real-world scenarios.
Show steps
  • Design a data model for the data warehouse
  • Load data into the data warehouse using Teradata utilities
  • Create queries and reports to analyze the data
Data Modeling Diagram
Create a data model diagram to visualize and document the relationships between data entities in a Teradata database.
Browse courses on Data Modeling
Show steps
  • Identify the entities and their attributes involved in a given data scenario.
  • Use a data modeling tool or software to create a visual representation of the data model.
  • Validate the data model by reviewing it with peers or subject matter experts.
Contribute: Teradata Open Source Projects
Contribute to open source Teradata projects to gain practical experience with Teradata technologies, collaborate with the community, and enhance your understanding of the Teradata ecosystem to deepen your knowledge and expand your network.
Browse courses on Teradata
Show steps
  • Identify a Teradata open source project that aligns with your interests and skills
  • Review the project documentation and contribute to discussions
  • Submit code contributions or other forms of contributions
  • Engage with the project community and seek feedback on your contributions
Volunteer as a Mentor
Reinforce your understanding of Teradata Vantage by mentoring others who are new to the platform or data management in general.
Browse courses on Mentoring
Show steps
  • Identify opportunities to mentor individuals interested in learning about Teradata or database management.
  • Share your knowledge and provide guidance to help them navigate the learning process.

Career center

Learners who complete Getting Started with Teradata will develop knowledge and skills that may be useful to these careers:

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Effort
The Estimated Workload is 3 weeks of study, 3-4 hours per week.
Level
Introductory
Via
Coursera
Institution
LearnQuest
Instructor
Eric Grose
Session
August 5, 2024 - September 16, 2024
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Focuses on foundational knowledge crucial for database administrators, IT managers, and data architects
Provides hands-on labs and interactive materials for practical experience
Builds a strong foundation for beginners in database management and analytics
Involves data modeling techniques, which are essential for designing and implementing functional database systems
Taught by Eric Grose, an experienced instructor in the field of data and analytics
Requires proficiency in SQL commands, which may be a limitation for learners with no prior database experience
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