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Snowflake - Dynamic Table Masterclass & Data Pipeline
Note : 4,6 sur 5(188 notes)
1 468 participants
Créé parDE Simplified
Dernière mise à jour : 07/2024
Anglais

Ce que vous apprendrez

  • Understand The Challenges with Stream & Task And Future of Declarative Pipeline
  • Understand the purpose of Snowflake Dynamic Tables and Its Lifecycle
  • Master all the dynamic table fundamentals & advanced topics
  • What are the difference between Dynamic Tables & Stream/Task Objects
  • What are the limitations of Snowflake Dynamic Tables
  • How to implement a data pipeline & DAG using Snowflake Dynamic Tables
  • What are the difference between Dynamic Tables & Materialized Views

Contenu du cours

9 sections59 sessions4 h 33 min de durée totale
  • Snowflake Dynamic Table Introduction & Declarative Pipeline Concept2:09
  • What To Expect From This Snowflake Dynamic Table Master Class3:38
  • Prerequisite For This Course1:44
  • How To Access The SQL Scripts & Data Files1:54

Prérequis

  • Working knowledge with Snowflake Cloud Data Warehouse
  • Fundamental understanding of Snowflake stream Objects.
  • Fundamental understanding of Snowflake Task Objects.
  • Fundamental understanding of SQL Queries Using Snowflake

Description

Embark on an exciting journey into the world of Snowflake Dynamic Tables with our comprehensive hands-on course designed for snowflake data developers. This course is your key to mastering the construction of declarative data pipelines, providing you with the skills to streamline development processes and minimise object requirements.

Explore the intricacies of Dynamic Tables and unlock their intelligent capabilities in determining whether data loading should follow a full or incremental approach. Through engaging hands-on tutorials, we delve into every aspect of Dynamic Tables, shedding light on operational metrics that make it an indispensable native object within the Snowflake ecosystem.

This course is your gateway to answering critical questions such as:


  1. What is Dynamic Table in Snowflake?

  2. How to construct a continuous data pipeline declaratively in Snowflake.

  3. Challenges faced in building end-to-end data pipelines using stream and task objects.

  4. How Dynamic Tables identify whether data loading should be incremental or full.

  5. Understanding lag metrics in Dynamic Tables.

  6. Building a Directed Acyclic Graph (DAG) using Dynamic Tables.

  7. Support for cloning, time travel, data sharing, and stream features in Dynamic Tables.

Join us on this transformative learning experience, where you'll not only find answers but gain the expertise to unlock the full potential of dynamic table development. Get ready to elevate your Snowflake skills and create efficient data pipelines. Enrol now for an immersive learning adventure!

#SnowflakeDynamicTables

#DataPipelineMastery

À qui ce cours s'adresse-t-il ?

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