Learn SQL with Databricks

Overview

This course will teach you how to use SQL, one of the most important tools in data analysis, along with Databricks, a popular platform used by data teams worldwide. Whether you're new to SQL or want to improve your skills, this course will guide you step by step. You'll learn how to manage, analyze, and work with data using real-world examples all in a cloud-based environment that’s used by top companies. By the end of this course, you’ll be able to: - Grasp Databricks' features, architecture, and its role in data science and engineering. - Master SQL basics, querying data, and managing databases within Databricks. - Configure Databricks, optimize SQL processing, and utilize notebooks efficiently. - Learn loading, managing, preparing data, and sharing using Delta Sharing. - Explore joins, subqueries, aggregation, and optimization (indexing, views, procedures). - Apply SQL in Databricks through case studies, emphasizing efficient queries, maintenance, and data security. This course is tailored for individuals seeking to learn SQL with Databricks, providing comprehensive instruction and hands-on experience to master the essential skills for efficient data manipulation, analysis, and management within the Databricks environment. Basic understanding of databases & SQL, familiarity with data concepts, some programming knowledge are recommended for learning SQL with Databricks. Empower your data journey, unleash seamless manipulation, and elevate insights for data-driven success!

Syllabus

Introduction to SQL and Databricks

Explore Databricks' features, understand its role in data science and engineering, and learn SQL basics, emphasizing its importance in data analysis.

SQL Fundamentals

Delve into SQL essentials: data types, database creation, data retrieval with SELECT, and data filtering using WHERE and GROUP BY clauses.

Advanced SQL Queries

Advance to complex SQL queries, covering joins, subqueries, and data modification techniques, alongside transaction management and rollback operations.

Data Manipulation and Optimization

Focus on advanced data manipulation, including altering data structures, optimizing queries with indexes, and utilizing views and stored procedures, supplemented with real-world case studies.

Course Wrap-Up Assessment

Conclude the course with a comprehensive assessment, testing knowledge across all modules, from SQL basics to advanced data manipulation and optimization in Databricks, ensuring a solid understanding and practical application of the learned concepts.