Explore hands-on with Azure Data Factory and Snowflake, demystifying ETL and ELT intricacies and emphasising the importance of robust data orchestration.  This guide takes you through DataOps principles, assisting in the configuration of pipelines and data flows for a smooth data journey.  Experience the collaboration between Azure Data Factory and Snowflake, acquiring practical insights into setting up efficient workflows for advanced analytics.

In this virtual hands-on lab, you will learn about:

• Streamlined Setup, Swift Results: Experience the ease of crafting a data pipeline with ADF, showcasing its ability to effortlessly connect to numerous data sources. Enable power users with drag-and-drop capabilities for self-service pipelines, emphasising efficiency in accelerating your ETL processes.
• Integration Harmony: Delve into the natural interaction between ADF and Snowflake, where data moves seamlessly from source to analytics. Explore a smooth transition from transactional data to meaningful analytical outputs.
• Data Transformation in Focus: Explore the practicality of ADF data flows, effortlessly shaping data as it flows between Azure SQL and Snowflake. Tailor your data to meet analytical requirements without the fuss.
• Power of Push-Down Compute: Uncover the benefits of push-down compute in Snowflake, where computational tasks enhance performance and scalability. Witness the practicality of optimising data processing within Snowflake’s cloud-native framework.

In partnership with: