SQL Bulk Inserts and Efficient Data Loading | SQL Fundamentals with PostgreSQL

Veröffentlicht am: 12 April 2025
auf dem Kanal: Very Academy

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Module 4 SQL Bulk Inserts and Efficient Data Loading

Master the fundamentals of SQL using PostgreSQL, one of the most powerful and widely used relational database systems! Whether you're a beginner looking to break into data management or a developer wanting to strengthen your SQL skills, this course will provide you with a solid foundation in database design, querying, and data manipulation.

⏯️ YouTube Playlist:
• Course | SQL Fundamentals with PostgreSQL ...

🚀 Udemy Course Link:
https://www.udemy.com/course/sql-fund...

➡️ Source Code:
https://github.com/veryacademy/Course...

You'll learn how to create databases, define tables, insert and manage data, perform complex queries, and optimize performance—all using real-world examples and best practices.

By the end of this course, you'll be confident in writing SQL queries and ready to apply your knowledge in real-world projects.

Learning Outcomes

By the end of this course, learners will be able to:
SQL Fundamentals & PostgreSQL Setup
• Install and set up PostgreSQL within Docker.
• Understand relational databases & SQL syntax.

Defining and Managing Tables
• Create and modify tables using primary & foreign keys.
• Define data types, constraints, and relationships.
• Implement one-to-one, one-to-many, and many-to-many.

Inserting, Updating, and Deleting Data
• Perform INSERT, UPDATE, and DELETE operations.
• Use transactions & rollbacks for data integrity.
• Load JSON & CSV data into PostgreSQL.

Querying and Filtering Data
• Retrieve data using SELECT queries.
• Filter records using WHERE, LIKE, IN, BETWEEN
• Use ORDER BY, LIMIT, and OFFSET for pagination.

Joins & Relationships in SQL
• Master INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.
• Understand how to join multiple tables effectively.
• Handle one-to-many and many-to-many relationships.

Aggregations & Grouping Data
• Use COUNT, SUM, AVG, MIN, MAX for data aggregation.
• Learn GROUP BY and HAVING for grouped data filtering.
• Work with subqueries and derived tables.

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