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Snowflake - Complete End To End Data Project Hands-On Guide
Rating: 4.5 out of 5(628 ratings)
5,123 students

Snowflake - Complete End To End Data Project Hands-On Guide

Master Snowflake Complete E2E Data Project + Data Pipeline Hands-on Guide With Live Data From Gound Up
Last updated 9/2024
English

What you'll learn

  • How to architect a Snowflake based data engineering project
  • How to design end to end flow with Snowflake based data engineering project
  • How to load and ingests API data into snowflake
  • How to develop an end to end data engineering project with Snowflake
  • How to automate API data ingestion in Snowflake
  • How to use stages, task, dynamic tables to create a DAG in Snowflake.

Course content

6 sections31 lectures4h 6m total length
  • Introduction - E2E Data Project5:18

    Master an end-to-end data engineering project in Snowflake, from API JSON extraction to cleansing, transformation, and star schema modeling, with Streamlit dashboards.

  • Technical Pre-requisite2:17
  • Course Structure3:35

    Explore the six-part course structure, translating business use cases into requirements, modeling data flows, building end-to-end pipelines, and delivering streamlit-powered dashboards and real-time analytics with Snowflake.

  • Data Engineering Use Case4:15
  • Resources - Architecture Diagram, SQL Scripts, Snowpark Code & Data Files1:25

Requirements

  • Familiarity with Snowflake Cloud Data Warehouse
  • Basic understanding of SQL queries using Snowflake
  • Basic understanding of python programning
  • Basic understanding of Github version control system

Description

Want to learn how to architect, design and implement End To End Data Project in Snowflake?

Do you want to upgrade your Snowflake skill and learn how to build complete end to end data project using Snowflake Cloud Data Warehouse Platform?

In this course, you will learn everything, starting from source file analysis, evaluating different architectural issues to ingetrate data, layered architecture to store different datasets, design stage/raw/curated layers and finally automate your data pipeline and implemente fully automated data flow from source to visualization with real life.


Why should you take this course?

  • Understand everything about end to end data engineering project - a step by step guide

  • Different data integration challenges and how to build a solution to ingest data into snowflake.

  • How to design a layered architecture to store and process the data.

  • How to automate the data integraiton to ingest live data.

  • How to automate and create a fully functional DAG.

  • How to use Snowflake dynamic tables to create fully functional data pipeline.

  • How to create a visualization using streamline within Snowflake

  • How to use  Snowpark Python library with GitHub action to automate data flow.

  • How to use free marketplace data and integrate it with Snowflake data pipeline.


Who this course is for:

  • Snowflake Cloud Data Developer
  • Data Engineer
  • Snowflake Data Engineer