Snowflake Realtime Hands On Training

Snowflake Realtime HandsOn Training is a practical, project-oriented course designed for students, data engineers, developers, and professionals who want to gain real-world experience with Snowflake and modern cloud data engineering.

The primary focus of this training is Snowflake, covering its core architecture and hands-on implementation. You will learn how to work with databases, schemas, tables, views, stages, file formats, warehouses, loading strategies, SQL, transformations, performance optimization, security, data sharing, and other important Snowflake capabilities.

To make the learning experience closer to a real enterprise environment, the course also introduces AWS, Python, Apache Airflow, and dbt Core as supporting technologies. AWS is used for cloud-based data sources and storage such as Amazon S3. Python is used for scripting, automation, data processing, and integration. Apache Airflow is introduced for scheduling, orchestration, dependency management, monitoring, and automation of data pipelines. dbt Core is used to demonstrate modular SQL-based transformations, testing, documentation, and data modeling within a Snowflake environment.

The training follows an end-to-end pipeline approach, taking data from source systems through ingestion, processing, orchestration, transformation, Snowflake storage, and finally analytics-ready datasets.

The emphasis is on hands-on learning, real-world scenarios, practical exercises, and end-to-end project implementation, helping participants develop skills that can be applied directly in professional data engineering projects.

Prerequisites: Basic SQL knowledge is recommended. Familiarity with Python or cloud concepts is helpful but not mandatory.