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You know this better than anyone: the best GenAI 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 AI and machine learning. 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 AI 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 AI doesn’t just pose challenges; it also brings opportunities — especially for data engineering practitioners. Get ahead with help from this comprehensive guide.
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