Snowflake Dynamic Table Master Class To Build End To End Data Pipeline Declaratively Using Real Life Scenarios
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.
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.
Course Content
- Snowflake Dynamic Table Introduction –> 4 lectures • 9min.
- [Optional] Snowflake Widely Used Native Objections –> 8 lectures • 50min.
- End To End Data Pipeline Requirement In Snowflake –> 3 lectures • 10min.
- Build Data Pipeline (DAG) Using Stream/Task Object –> 17 lectures • 1hr 1min.
- All About Snowflake Dynamic Table & How To Build Pipeline Declaratively –> 8 lectures • 52min.
- Dynamic Table On Multiple Tables –> 4 lectures • 26min.
- End To End Data Flow Using Dynamic Table (Customer/Order Example) –> 6 lectures • 33min.
- Important Dynamic Table Features –> 8 lectures • 27min.
- Quick Dynamic Table Summary –> 1 lecture • 3min.
Requirements
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