This guide walks through the steps to set up a data pipeline specifically for near-real-time or event-driven data architectures and continuously evolving needs. This guide covers each step, from setup to data ingestion, to the different layers of the data platform, and deployment and monitoring, to help manage large-scale applications effectively.

 Prerequisites

Expertise in basic and complex SQL for scripting
Experience with maintaining data pipelines and orchestration
Access to a Snowflake for deployment
Knowledge of ETL frameworks for efficient design

Introduction

Data pipeline workloads are an integral part of today’s world, and maintaining these workloads needs massive effort, and it’s cumbersome. A solution is provided within Snowflake, which is called dynamic tables.