Description
Advanced SQL for Data Engineering Course. Dive deeper into the world of SQL with the Advanced SQL for Data Engineering course. This course is designed for individuals who plan to strengthen their SQL skills and understand advanced database design concepts, which are essential for many roles in today’s data-driven industry. This course consists of eight comprehensive sections. It begins with an overview of environment setup and relational databases to set the stage for more advanced SQL topics. You will learn SQL syntax as well as Data Definition Language (DDL), Data Manipulation Language (DML), Data Query Language (DQL), and Data Control Language (DCL). Subsequent sections systematically progress through manipulating databases, managing and manipulating DateTimes in SQL, handling complex data types, and exploring advanced search techniques. You will master essential SQL statements such as CREATE, ALTER, INSERT, UPDATE, DELETE, MERGE, and DROP. You will then delve deeper into the nuances of date time types, time zones, and intervals and gain practical experience with ENUMs. Scope and nested data of each topic is designed to equip you with advanced techniques for managing, querying, and manipulating databases. After that, you will explore advanced search techniques with a focus on OVER, different types of JOINs, CASE, CONCAT, and powerful recursive common table (CTE) expressions. These concepts will strengthen your skills in complex data querying, a fundamental aspect of data engineering. The sixth part deals with optimizing data structures and introduces the concept of data normalization in SQL. You will learn the theory and practical application of data normalization, as well as the star schema and snowflake model, both of which are essential in designing efficient databases. Part seven deals with performance and control, where you will master stored procedures, user-defined functions (UDFs), temporary tables, materialized views, and transactions. These concepts enhance your abilities to manage and optimize databases for maximum performance. The final section allows you to put all the knowledge you have acquired into practice with a series of challenging exercises. These practical tasks are designed to strengthen your understanding of the topics covered and prepare you for real-world scenarios. By the end of the Advanced SQL for Data Engineering course, you will master the advanced features of SQL and be able to effectively design, manage, and optimize databases. Whether you are a budding data engineer or an experienced professional looking to enhance your skills, this course has everything for you!
What you will learn in the Advanced SQL for Data Engineering course
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Perform database manipulation
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DateTime Management in SQL
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Managing complex data types
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Advanced query techniques
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Optimizing the Database
This course is suitable for those who
- Passionate data engineer
- Data Professionals
- database administrator
Advanced SQL for Data Engineering Course Specifications
- Publisher: Udemy
- Lecturer: Shashank Kalanithi
- Training Level: Advanced
- Training duration: 2 hours 22 minutes
- Number of courses: 46
Advanced SQL for Data Engineering Course Topics
Advanced SQL Requirements for Data Engineering Course
- Fundamental SQL knowledge
- Basic database understanding
- Getting familiar with relational databases
Course Images
Sample video of the course
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