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