Data Engineer Toolkit: Pipelines Made Easy

Data engineers are stuck in a reactive loop: maintaining fragile pipelines using complex tools while managing constantly shifting priorities.

The Data Engineer Toolkit is a collection of best-practice resources to help data engineers be less reactive and more productive.

From ensuring data reliability to streamlining ETL and optimizing data pipelines — this toolkit features technical guidance that data engineers can put to work, as well as insights from technical experts.

You’ll find:

• Frameworks for simplifying ingestion, transformation and orchestration
• Visual design patterns for ETL vs. ELT and batch vs. streaming pipelines
• Best practices for governance, lineage and observability
• Real-world examples and practitioner insights from Databricks customers and experts
• Hands-on training for building and optimizing pipelines