TRAINING
Snowflake Core & Data Engineering: Deep dive into Snowflake’s cloud-native architecture and the automation of data ingestion and pipeline
Join us for Training Day 1: Snowflake Core & Data Engineering, an immersive hands-on session designed for Data Engineers, Cloud Architects, and Technical Leads looking to build scalable, automated data infrastructures. This deep dive explores Snowflake’s cloud-native architecture and provides practical insights into the automation of data ingestion and pipelines.
The workshop will take place at the Snowflake Dubai Offices, following a « Bring Your Own Laptop » (BYOL) policy. 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
1. Introduction to Snowflake & AI Data Cloud
- Overview of Snowflake’s Cloud-Native Architecture and AI Data Cloud
- Key Concepts: Warehouses, Databases, Schemas, Roles
- Snowflake’s Multi-Cluster Shared Data Architecture
- Navigating the Snowflake UI and Worksheets
2. Data Engineering Workflow
- Understanding Data Engineering in the Cloud
- Data Ingestion: Bulk Load, Snowpipe, Kafka Integration
- Staging Data: Internal vs External Stages
- Using COPY INTO and File Format Objects
- Data Pipeline Design with Streams and Tasks
- Time Travel and Fail-safe Features
- Automating Workflows with Stored Procedures
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.
With Our Partner:
TRAINING
Snowflake Core & Data Engineering: Deep dive into Snowflake’s cloud-native architecture and the automation of data ingestion and pipeline
Join us for Training Day 1: Snowflake Core & Data Engineering, an immersive hands-on session designed for Data Engineers, Cloud Architects, and Technical Leads looking to build scalable, automated data infrastructures. This deep dive explores Snowflake’s cloud-native architecture and provides practical insights into the automation of data ingestion and pipelines.
The workshop will take place at the Snowflake Dubai Offices, following a « Bring Your Own Laptop » (BYOL) policy. 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
1. Introduction to Snowflake & AI Data Cloud
- Overview of Snowflake’s Cloud-Native Architecture and AI Data Cloud
- Key Concepts: Warehouses, Databases, Schemas, Roles
- Snowflake’s Multi-Cluster Shared Data Architecture
- Navigating the Snowflake UI and Worksheets
2. Data Engineering Workflow
- Understanding Data Engineering in the Cloud
- Data Ingestion: Bulk Load, Snowpipe, Kafka Integration
- Staging Data: Internal vs External Stages
- Using COPY INTO and File Format Objects
- Data Pipeline Design with Streams and Tasks
- Time Travel and Fail-safe Features
- Automating Workflows with Stored Procedures
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.
With Our Partner:
Register Here
Location & Details
04 Feb 2026
09:30 – 17:00