AI Data Cloud Academy Data Engineering School

Guide to Build Continuous & Streaming Pipelines

Are you building pipelines for streaming and near real-time data? Do you work on Change Data Capture or materialization? Learn capabilities from streaming ingestion to declarative transformations with incremental processing in this track.

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Guide for Python Developers

This track is perfectly designed for data engineers who prefer coding with Python. You’ll learn about the new Snowflake Notebooks and how to perform data constructs such as DataFrames and pandas directly in Snowflake without moving data around, rich transformation with UDxF, and even ingestion options.

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Operationalizing Your Pipelines

So, your pipelines are developed, what’s next? This track focuses on how you can productionize your work faster with debugging, deploying, scheduling and monitoring your pipelines easily with rich orchestration, observability and DevOps features.

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Guide to Build Continuous & Streaming Pipelines

24-MINUTE VIDEO

Best Practices: Data Ingestion with Snowflake

Learn about the different mechanisms for ingesting data into Snowflake and get our product expert’s recommendation on what to use

15-MINUTE VIDEO

Demo: Using Snowflake’s Native Connector for PostgreSQL

Built with Snowpipe Streaming and Snowflake Native Apps, Snowflake’s PostgreSQL connector allows you to seamlessly ingest your PostgreSQL data securely

34-MINUTE VIDEO

Intro: What’s New with Dynamic Tables

Dynamic Tables is the new default for change data and incremental processing. This session will provide an overview of Dynamic

38-MINUTE VIDEO

Best Practices: Dynamic Tables

Learn the best practices of Dynamic Tables for optimized development, testing, monitoring, performance and more.

35-MINUTE VIDEO

Advanced Usage of Kafka Connector

Use Kafka for your streaming data? Learn all the key concepts with Snowflake’s Kafka Connector from configuration, optimization, monitoring and

Guide for Python Developers

16-MINUTE VIDEO

Intro: What’s New with Python Data Pipelines

Learn about the latest capabilities built for the Python data engineers.

17-MINUTE VIDEO

Demo: End-to-End Python Data Pipelines

Watch this end-to-end Python Pipeline demo using some of the latest features built for the Python data engineers including Snowflake

16-MINUTE VIDEO

Demo: Leveraging Snowpark to Connect with External Endpoint

Watch this demo to see how you can leverage some of the advanced capabilities of Snowpark to build connections with

40-MINUTE VIDEO

Best Practices: Migrating Data Engineering Pipelines

Learn from our data engineering experts the best practices to migrate data engineering pipelines including how to operate, tune and

Operationalizing Your Pipelines

16-MINUTE VIDEO

Best Practices and Demo: Orchestrating Data Pipelines

Tasks: Snowflake’s orchestration capability has got a lot of great improvements. Watch this session to learn what are some best

21-MINUTE VIDEO

Demo: DevOps with Snowflake

Learn about the latest features for simplifying and automating DevOps processes, including the Snowflake Python API, CLI and Git integration,

25-MINUTE VIDEO

Intro and Demos: Observability in Snowflake

Learn about Snowflake Trail, a set of observability capabilities in Snowflake to monitor, debug and troubleshoot easily for your pipelines

18-MINUTE VIDEO

Demo: Setting up Alerts and Notifications in Snowflake

Watch this demo to learn how you can easily set up alerts and notifications directly in Snowflake.