Fast-track your expertise with this essential guide for the Al era
Get practical guidance, notebooks, code snippets
You know this better than anyone: the best GenAl models in the world will not succeed without good data. That’s why data engineers are even more critical today.
The challenge is staying ahead of the rapid advancements in Al and machine leaming. We’ve
revamped our Big Book of Data Engineering with the latest, including intelligent capabilities that automate tasks and speed up innovation.
Sharpen your data engineering expertise with the latest best practices on the Databricks Data
Intelligence Platform. Find practical guidance you can start putting to work today, including:
- Tips and tricks for using Al tools for faster code development
- Patterns for scaling ETL pipelines effectively
- Orchestrating data analytics workloads
- Implementing data governance with monitoring, reporting and lineage
- Integrating DevOps practices with data pipeline development
Plus: Discover how companies in financial services, retail, automotive and healthcare are building intelligent batch and streaming data pipelines.
The rise of Al doesn’t just pose challenges; it also brings opportunities — especially for data
engineering practitioners. Get ahead with help from this comprehensive guide