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Rav Ahuja

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

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Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

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.

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What's inside

Learning objectives

  • 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
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JOINs

Good to know

Know what's good
, what to watch for
, 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

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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 SQL Concepts for Data Engineers with these activities:
Review SQL
Refresh your knowledge of SQL to ensure you're prepared for the course.
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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
Collaborating with peers can help you understand concepts more deeply and identify areas for improvement.
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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
Creating a data dictionary will help you solidify your understanding of the data structures used in the course.
Show steps
  • 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.
Five other activities
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Practice writing SQL queries
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
Expand your knowledge of SQL by following tutorials on advanced techniques.
Browse courses on Advanced SQL
Show steps
  • 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
Mentoring others will reinforce your knowledge and help you develop your communication and teaching skills.
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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
Applying your knowledge to a real-world scenario will enhance your understanding of data modeling and SQL.
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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
Contributing to an open-source project will provide you with practical experience and expose you to real-world SQL applications.
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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in SQL Concepts for Data Engineers.
An introduction to data science techniques with Python. Useful to take concurrently with the course or as a pre-requisite.

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