Teradata: Improving Analysis and Storage from Coursera

This is the second course in our Specialization in Teradata and Data Analysis. In the first course, we set up the concepts, principles, and practical basics to install software, load data, and design a logical and physical data model. In this second course, we'll improve our techniques for data analysis, with an eye on efficiency and storage for your real-world applications on the job.

In Module 1, we’ll grow your SQL Toolkit with multi-table, aggregate functions like SUM, AVG, MAX and COUNT. We’ll also expand your concept of primary and foreign keys, so you can make your first JOIN commands in SQL and define relationships between tables.

Our second module is focused on SQL subqueries. We’ll start with single-row subqueries, comparing them to JOIN commands. Then we’ll examine multiple-row subqueries, which allow you to compare a value against multiple values returned from a subquery.

In Module 3, we’ll examine SQL Techniques. We’ll recognize use cases and strategies to use windowed functions in SQL. We’ll define the structure of hierarchical queries in SQL. And we’ll identify for using indexes, so we can optimize our tables for data retrieval.

What's inside

Syllabus

Growing Your SQL Toolkit

In this first module, we’ll look at effective requirements gathering, the use of aggregate functions, and the principles of normalization to refine our SQL querying skills. To make more valuable SQL queries, our first step is requirements gathering. Requirements Gathering involves detailed specifications about the data's format, quality, and sources. You’ll learn to prioritize data based on potential impact and engage stakeholders to help uncover essential, sometimes hidden, requirements. You will learn the most common aggregate functions available in Teradata: SUM, AVG, MAX, and COUNT. We’ll examine when we would typically use these functions, and how the output of these functions is different from traditional SQL queries. We’ll take a closer look at three levels of data normalization. Normalization reduces redundancy and ensures that each piece of data is stored precisely once, linked directly to a primary key. Finally, we’ll use SQL joins to link data across multiple tables. Using Inner Joins and left Joins which help us tailor our queries to meet specific analytical needs.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Teaches how to gather requirements, a foundational aspect of data analysis

Builds on the skills and knowledge developed in the first course in the Specialization in Teradata and Data Analysis

Develops aggregate functions, normalization, and joins, which are core skills for data analysts

Builds a strong foundation for advanced data analysis techniques covered in subsequent courses

Provides hands-on practice through exercises and examples, reinforcing the concepts taught

Requires familiarity with SQL and basic data analysis concepts, making it suitable for intermediate learners

Reviews summary

Teradata: advanced sql for data efficiency

According to students, this course offers a solid progression from foundational concepts, providing practical insights into improving data analysis and storage within Teradata. Many find the deep dives into SQL subqueries and window functions to be particularly valuable, enhancing their ability to tackle complex data challenges. Learners appreciate the course's emphasis on efficiency and performance optimization through techniques like indexing and hierarchical queries, which are directly applicable in professional settings. While largely seen as a beneficial professional development tool, some suggest a greater inclusion of hands-on lab exercises could further solidify understanding for all learners, especially in advanced topics.

Assumes prior knowledge from the specialization's first course.

"This course provided a solid continuation from the first one, so having that foundation is key."

"It's a solid next step after the first course, but not for absolute beginners in Teradata."

"If you're already highly proficient with Teradata SQL optimization, some parts might feel a bit introductory for advanced users, but it's great for intermediate learners."

Focuses on efficiency, storage, and indexing for real-world use.

"I can immediately apply these techniques at work for improving query efficiency and storage."

"The emphasis on efficiency and storage is what sets this course apart for professionals."

"The section on indexing for performance provided clear strategies for optimizing data retrieval."

In-depth coverage of complex SQL functions for data analysis.

"The modules on SQL subqueries and window functions were particularly helpful for enhancing my data analysis skills."

"I found the deep dive into hierarchical queries very insightful, which is crucial for understanding complex data relationships."

"This course provided an excellent understanding of advanced SQL techniques that I can immediately apply."

Some learners suggest more hands-on labs for skill reinforcement.

"I felt some parts could benefit from more hands-on lab exercises to reinforce the concepts."

"While the theory is sound, I wished there were more detailed examples or a dedicated section on troubleshooting common performance issues in a lab environment."

"Could use more practical cases specific to large-scale Teradata environments beyond just theoretical explanations."

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 Teradata: Improving Analysis and Storage with these activities:

Review Intro to SQL

Show steps

Refresh your understanding of SQL fundamentals, including data types, operators, and basic syntax, to lay a solid foundation for this course.

Show steps

Read through your lecture notes or textbook chapters on SQL basics.
Complete practice problems or online quizzes to test your comprehension.

Refresh SQL

Show steps

This activity will help you refresh your knowledge of basic SQL commands and concepts, which will be essential for success in this course.

Browse courses on SQL

Show steps

Review the SQL syntax for creating and querying tables.
Practice writing basic SQL queries to select, insert, update, and delete data.

Organize your notes, assignments, and quizzes from the course

Show steps

This activity will help you stay organized and prepared for upcoming assessments.

Browse courses on Teradata

Show steps

Create a system for organizing your notes, assignments, and quizzes.
Regularly review your materials to reinforce your learning.

Six other activities

Expand to see all activities and additional details

Show all nine activities

Join a study group or online forum for Teradata and data analysis

Show steps

This activity will provide you with opportunities to collaborate with other learners and get help with your questions.

Browse courses on Teradata

Show steps

Find a study group or online forum that is relevant to your interests.
Participate in discussions and ask questions.

Follow tutorials on data analysis with Teradata

Show steps

This activity will help you gain hands-on experience with Teradata and data analysis techniques.

Browse courses on Teradata

Show steps

Find tutorials on data analysis with Teradata.
Follow the steps in the tutorials to perform data analysis tasks.

Practice SQL queries on sample data

Show steps

This activity will help you improve your SQL skills and gain confidence in writing queries.

Browse courses on SQL

Show steps

Find sample data sets that are relevant to your interests.
Write SQL queries to perform data analysis tasks on the sample data.

Mentor Junior Learners

Show steps

Enhance your understanding of SQL concepts by explaining them to others. Find opportunities to mentor junior learners, answer questions in forums, or participate in study sessions.

Show steps

Identify opportunities to mentor junior learners in SQL.
Prepare materials and resources to support your mentoring sessions.
Facilitate discussions, answer questions, and provide guidance to mentees.

Mentor another student who is struggling with Teradata or data analysis

Show steps

This activity will help you solidify your understanding of the material by explaining it to someone else.

Browse courses on Teradata

Show steps

Find a student who is struggling with Teradata or data analysis.
Offer to help them with their work.

Create a data analysis project using Teradata

Show steps

This activity will allow you to apply your skills to a real-world data analysis project.

Browse courses on Teradata

Show steps

Define the scope of your project and the specific data analysis tasks you want to perform.
Gather data and load it into Teradata.
Write SQL queries to perform data analysis tasks on the data.
Create visualizations and reports to communicate your findings.

Career center

Learners who complete Teradata: Improving Analysis and Storage will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.

Teradata

Improving Analysis and Storage

Here's a deal for you

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Teradata: advanced sql for data efficiency

Activities

Career center

Reading list

Share

Similar courses