Published 2/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.91 GB | Duration: 4h 33m
Snowflake Dynamic Table Master Class To Build End To End Data Pipeline Declaratively Using Real Life Scenarios
What you'll learn
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
Requirements
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:What is Dynamic Table in Snowflake?How to construct a continuous data pipeline declaratively in Snowflake.Challenges faced in building end-to-end data pipelines using stream and task objects.How Dynamic Tables identify whether data loading should be incremental or full.Understanding lag metrics in Dynamic Tables.Building a Directed Acyclic Graph (DAG) using Dynamic Tables.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
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