Technical tracks for practitioners, outcomes for leaders.

Data EngineeringResources

Dive into data engineering with relevant ebooks, guides, webinars, developer solutions and beyond to empower your learning journey.

Ebook

Modernizing to a Data Lakehouse on Snowflake

Get guidance from experts to create the necessary data foundation to unlock the full potential of your data with AI.

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Case Study

Chicago Trading Company Replaces Managed Spark for 54% Cost Savings

Moving to Snowflake has allowed CTC to bring development to the data for cost-effective and reliable data processing.

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Case Study

Pfizer Accelerates Insights and Lowers TCO by 57% While Processing Data 4x Faster With Snowpark

By migrating to Snowflake, Pfizer has unified business units with greater access to insights and seamless data sharing.

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What's New

The latest data engineering resources

Academy

Data Engineering School

This free course offers 15 new sessions designed for data engineers and architects of all experience levels. Get started now to acquire new skills and stay current with the latest industry trends.

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Live Demo

Snowpark Connect for Apache Spark Deep Dive

You can now run Apache Spark DataFrame code on Snowflake. In this webinar, we’ll go deep into the feature, how it works, and how to get started.

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Webinar

Build Data Engineering Pipelines using Snowpark in Snowflake Notebooks

Learn how to build a pipeline with Python in Snowflake and then manage and deploy that notebook through an automated CI/CD.

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Ebook

The Essential Guide to Data Engineering

A modern data engineering practice produces fast, reliable and quality data for all of an organization’s business units.

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Ebook

Cloud Data Engineering for Dummies

Find out how you can build a modern data engineering practice to produce fast, reliable, and quality data for all your business units, and to easily and securely share data across your organization, your ecosystem, and beyond.

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Webinar

Data Engineering Connect: Architect for AI with Open Formats

Snowflake’s support for open formats and integrated data engineering capabilities empower data teams with a new paradigm for architecting more efficient data platforms.

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DEVELOPER RESOURCES