Welcome to the Learn SQL with Databricks course, where you'll embark on a journey to acquire essential skills in database management, data analysis, and advanced data manipulation techniques. This course is meticulously designed to guide you through the intricacies of SQL, leveraging the powerful and versatile Databricks platform.
This comprehensive journey is designed to equip you with a robust set of skills and knowledge, enabling you to harness the full potential of SQL in data analysis, manipulation, and decision-making processes.
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.
Master SQL with Databricks: Empower your data journey, unleash seamless manipulation, and elevate insights for data-driven success!
Overview
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.
Taught by
Edureka
