15 Topics
10 Days
Programme Overview
Training Description
Who Should Attend
This course is designed for data professionals seeking to build and manage data pipelines in cloud environments, including:
- Data Engineers
- Data Architects
- ETL/ELT Developers
- Cloud Engineers
- Data Scientists
- Anyone involved in building and maintaining data pipelines
Session Objectives
- Understand the architecture and capabilities of Snowflake and Databricks.
- Design and build scalable data pipelines in cloud environments.
- Utilize Snowflake for data warehousing and analytics.
- Utilize Databricks for data engineering and machine learning.
- Implement ETL/ELT processes using cloud-native tools.
- Understand data governance and data quality management.
About the Course
Modern data engineering demands scalable and reliable pipelines for processing vast amounts of data. This course on Data Engineering with Cloud Platforms (Snowflake, Databricks) equips participants with the specialized knowledge and skills to build robust data pipelines in cloud environments. Participants will learn how to leverage Snowflake and Databricks for data warehousing, ETL/ELT, and advanced analytics. This course bridges the gap between traditional data engineering and cloud-native data processing, empowering professionals to create efficient and scalable data solutions.
Curriculum & Topics
15 Topics | 10 Days
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