Virtual Snowflake Training

Data Engineering Workflow in Snowflake: This course provides a deep dive into building robust data pipelines using Snowflake capabilities. You will master advanced automation and data protection techniques by leveraging Copy Into, Streams, and Tasks,  while ensuring data resilience through Snowflake’s unique features

Join us for 2 half-days of training #1 on April 28th and 30th, from 9:30 AM to 11:30 AM GST.

With Our Partner

By the end of this workshop, you will have gained the practical skills to master Snowflake data lifecycle through a series of hands-on deliverables. You will start by successfully loading CSV and JSON files using the COPY INTO command, followed by creating and configuring both internal and external Stages to ensure secure file landing. Additionally, you will explore Snowflake Cortex Code (CoCo) capabilities to enable AI-assisted SQL generation and streamline transformation logic. Ultimately, you will synthesize these skills to build a fully functional, end-to-end ingestion pipeline, establishing a seamless automation loop that flows from Stage to Load, through to Stream and Task, enhanced with intelligent optimization.

The workshop will take place online. To ensure you are ready for the hands-on portions of the day, all attendees should create a Snowflake Trial account three days prior to the training date. 

Agenda

Day 1: 28th April 9.30 – 11.30 am: Foundations + Ingestion

• Snowflake Storage Architecture (Micro-partitions, Iceberg, Time Travel)
• Data Ingestion (Batch, Snowpipe, Kafka)
• Semi-structured data handling

Day 2: 30th April 9.30 – 11.30 am: Pipelines + Automation

• Streams & Tasks
• File formats
• Data pipeline design
• Cloud integrations (AWS/Azure/GCP)

Who Should Attend: Data Engineers, Cloud Architects, and Technical Leads looking to build scalable, automated data infrastructures.

Prep: Attendees should create a Snowflake Trial account three days before the training date: https://signup.snowflake.com/?trial=student&referrer=snowsight