SQL Concepts for Data Engineers from edX

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This course builds on your existing SQL knowledge to learn about additional techniques that are key to Data Engineers.

You will learn how to create and use views to simplify and control access to underlying tables. You will learn about the advantages provided by stored procedures and how to write and run them. You will discover the importance of ACID transactions to maintain the integrity of your data and how to use them in your code. Finally, you will learn how to use different types of joins to accurately retrieve related data from multiple tables.

PRE-REQUISITE: This course is intended as a follow on to SQL for Data Science course from IBM. Please ensure that you have either completed that course prior to starting this one, or have foundational/intermediate knowledge of SQL and are familiar with creating tables, performing select statements, filtering, sorting and grouping data, and working with nested queries and multiple tables.

What's inside

Learning objectives

Create and use views
Create and execute stored procedures

Work with acid transactions
Query multiple tables using join operators

Create and use views
Create and execute stored procedures
Work with acid transactions
Query multiple tables using join operators

Syllabus

Module 1 – Additional SQL

Using Views

Stored Procedures

Transactions

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Course builds upon an existing foundation of SQL to augment with additional techniques that are essential to Data Engineers

Teaches how to create and use views to simplify and control access to underlying tables, demonstrating a strong understanding of data management

Guides learners in how to create and execute stored procedures, equipping them with valuable skills for optimizing database performance

Emphasizes the importance of ACID transactions for maintaining data integrity and teaches how to use them effectively, covering essential database concepts

Provides practical guidance on how to use different types of joins to accurately retrieve related data from multiple tables, addressing a key aspect of data analysis and retrieval

Assumes prior SQL knowledge, making it most suitable for learners who have completed the SQL for Data Science course from IBM or those with foundational to intermediate SQL proficiency

Reviews summary

Sql for data engineers: practical advanced concepts

According to students, this course is a highly relevant and practical follow-up for those aiming to be data engineers, building effectively on existing SQL knowledge. Learners particularly commend the clear explanations and hands-on labs, finding the modules on ACID transactions, stored procedures, and JOIN operators to be exceptionally useful and directly applicable to real-world scenarios. While the course generally receives strong positive feedback for its content and structure, some learners noted that it assumes a significant level of prior SQL understanding, potentially feeling fast-paced for those just meeting the stated prerequisites. Overall, it's considered a solid addition to a data engineer's skillset.

Generally well-paced, but some desire more in-depth examples.

"The instructor's pace was just right for someone with prior SQL experience."

"Some explanations were a bit too quick, especially in the later sections."

"I felt some parts of the 'Transactions' section could have had more real-world examples."

"More detailed explanations needed."

Effectively covers advanced SQL concepts for data engineers.

"The modules on ACID transactions and stored procedures were particularly insightful..."

"The JOINs module was comprehensive... a solid addition to my skillset."

"This course solidified my understanding of advanced SQL features."

"The module on JOINs particularly well explained with various types of joins covered thoroughly."

Content is well-explained with supportive hands-on practice.

"I appreciated the clear explanations and the hands-on labs."

"The practical exercises were crucial for cementing understanding."

"The instructor explains complex topics simply."

"The practical exercises were well-designed."

Focuses on directly applicable, real-world SQL skills.

"This course was a fantastic follow-up... directly applicable to my work as a data engineer."

"As someone transitioning into data engineering, this course bridged the gap between basic SQL and enterprise-level concepts..."

"The focus on practical application of SQL concepts like ACID transactions and complex joins is exactly what I needed."

"I learned how to use practical examples for views and stored procedures that were extremely helpful."

Requires a solid intermediate SQL foundation, not just basic.

"The course is okay, but it assumes a lot of prior knowledge, even more than just 'foundational'."

"I struggled with some of the concepts as they were introduced quickly without enough background."

"Maybe my prior knowledge wasn't enough, despite completing the prerequisite."

"I think it's good for brushing up, but maybe not for learning these concepts from scratch even if you have basic SQL."

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 SQL Concepts for Data Engineers with these activities:

Review SQL

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Refresh your knowledge of SQL to ensure you're prepared for the course.

Browse courses on Advanced SQL

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Review your notes and assignments from previous SQL courses.
Take practice quizzes or complete practice problems to test your understanding.

Participate in a study group

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Collaborating with peers can help you understand concepts more deeply and identify areas for improvement.

Browse courses on SQL

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Find or form a study group with other students taking the course.
Meet regularly to discuss the course material, work on assignments, and quiz each other.
Share your knowledge and insights with the group.

Create a data dictionary

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Creating a data dictionary will help you solidify your understanding of the data structures used in the course.

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Identify the different data elements used in the course.
Define the data type, size, and constraints for each data element.
Document the data dictionary in a clear and organized manner.

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Practice writing SQL queries

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Practice writing SQL queries to improve your proficiency and confidence.

Browse courses on SQL

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Find online resources or textbooks that provide SQL practice exercises.
Set aside regular time to practice writing queries.
Review your queries and identify areas for improvement.

Follow tutorials on advanced SQL techniques

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Expand your knowledge of SQL by following tutorials on advanced techniques.

Browse courses on Advanced SQL

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Identify online tutorials or courses that cover advanced SQL techniques.
Follow the tutorials step-by-step and complete the practice exercises.
Experiment with the techniques learned in the tutorials.

Mentor junior SQL learners

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Mentoring others will reinforce your knowledge and help you develop your communication and teaching skills.

Browse courses on SQL

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Identify junior SQL learners who need guidance.
Offer your help and support.
Provide guidance on SQL concepts and techniques.
Review their work and provide feedback.
Encourage them and help them overcome challenges.

Develop a data model for a real-world scenario

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Applying your knowledge to a real-world scenario will enhance your understanding of data modeling and SQL.

Browse courses on Data Modeling

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Identify a real-world scenario that requires data modeling.
Gather requirements and analyze the data involved.
Design a data model using SQL.
Implement the data model in a database.
Test and refine the data model.

Contribute to an open-source SQL project

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Contributing to an open-source project will provide you with practical experience and expose you to real-world SQL applications.

Browse courses on Open Source

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Identify an open-source SQL project that interests you.
Review the project's documentation and guidelines.
Identify an area where you can contribute.
Make changes to the project's codebase.
Submit a pull request for your changes.

Career center

Learners who complete SQL Concepts for Data Engineers will develop knowledge and skills that may be useful to these careers:

Data Architect

Data Architects design, build, maintain, and manage an organization's data assets. Having a background in SQL Concepts for Data Engineers will help you understand the underlying principles of data management, which is essential for success in this role. This course will help you develop the skills needed to design and implement data solutions that meet the needs of your organization.

See salaries and explore the career path for Data Architect

Database Administrator

Database Administrators ensure that an organization's databases are running smoothly and efficiently. This course will provide you with the knowledge and skills needed to perform this role, including how to create and manage databases, optimize performance, and recover data in the event of a failure.

See salaries and explore the career path for Database Administrator

Data Analyst

Data Analysts collect, analyze, interpret, and present data to help organizations make informed decisions. This course will provide you with the skills needed to perform this role, including how to use SQL to query data, create visualizations, and build data models.

See salaries and explore the career path for Data Analyst

Business Intelligence Analyst

Business Intelligence Analysts use data to identify trends, patterns, and opportunities for improvement within an organization. This course will provide you with the skills needed to perform this role, including how to use SQL to extract data from various sources, analyze data, and create reports.

See salaries and explore the career path for Business Intelligence Analyst

Data Engineer

Data Engineers design, build, and maintain an organization's data infrastructure. This course will provide you with the knowledge and skills needed to perform this role, including how to use SQL to create and manage data pipelines, transform data, and build data models.

See salaries and explore the career path for Data Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications. While SQL Concepts for Data Engineers is not directly related to software engineering, it can be helpful for those who want to develop data-driven applications.

See salaries and explore the career path for Software Engineer

Data Scientist

Data Scientists use data to build predictive models and solve business problems. SQL Concepts for Data Engineers can be helpful for those who want to develop data science models, as it provides a foundation in data management and analysis.

See salaries and explore the career path for Data Scientist

Statistician

Statisticians collect, analyze, interpret, and present data to help organizations make informed decisions. SQL Concepts for Data Engineers can be helpful for those who want to pursue a career in statistics, as it provides a foundation in data management and analysis.

See salaries and explore the career path for Statistician

Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve complex business problems. SQL Concepts for Data Engineers can be helpful for those who want to pursue a career in operations research, as it provides a foundation in data management and analysis.

See salaries and explore the career path for Operations Research Analyst

Financial Analyst

Financial Analysts use data to analyze financial performance and make investment recommendations. SQL Concepts for Data Engineers can be helpful for those who want to pursue a career in financial analysis, as it provides a foundation in data management and analysis.

See salaries and explore the career path for Financial Analyst

Market Research Analyst

Market Research Analysts collect, analyze, and interpret data to help organizations understand their customers and make informed decisions. SQL Concepts for Data Engineers can be helpful for those who want to pursue a career in market research, as it provides a foundation in data management and analysis.

See salaries and explore the career path for Market Research Analyst

Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. SQL Concepts for Data Engineers can be helpful for those who want to pursue a career in actuarial science, as it provides a foundation in data management and analysis.

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Epidemiologist

Epidemiologists investigate the causes and effects of disease. SQL Concepts for Data Engineers can be helpful for those who want to pursue a career in epidemiology, as it provides a foundation in data management and analysis.

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Biostatistician

Biostatisticians use mathematical and statistical techniques to analyze biological data. SQL Concepts for Data Engineers can be helpful for those who want to pursue a career in biostatistics, as it provides a foundation in data management and analysis.

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Data Journalist

Data Journalists use data to tell stories and inform the public. SQL Concepts for Data Engineers can be helpful for those who want to pursue a career in data journalism, as it provides a foundation in data management and analysis.

See salaries and explore the career path for Data Journalist