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Snowflake - Complete End To End Data Project Hands-On Guide
Bewertung: 4,5 von 5(605 Bewertungen)
4.912 Teilnehmer:innen
Erstellt vonDE Simplified
Zuletzt aktualisiert 9/2024
Englisch

Das wirst du lernen

  • 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.

Kursinhalt

6 Abschnitte31 Lektionen4 Std. 6 Min. Gesamtdauer
  • Introduction - E2E Data Project5:18
  • Technical Pre-requisite2:17
  • Course Structure3:35
  • Data Engineering Use Case4:15
  • Resources - Architecture Diagram, SQL Scripts, Snowpark Code & Data Files1:25

Anforderungen

  • 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

Beschreibung

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.


Für wen eignet sich dieser Kurs:

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