International Business Machines Corporation (IBM) is a globally recognized public multinational technology company founded in 1911. Initially named the Computing-Tabulating-Recording Company (CTR), it was renamed IBM in 1924. Known for its pioneering innovations in computer hardware, software, and IT consulting services, IBM has played a key role in advancing fields such as artificial intelligence (AI), cloud computing, and quantum computing. Distinguished by its commitment to research and development, IBM is responsible for groundbreaking inventions like the ATM, personal computer, and the Watson AI system.

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.