Cost Aware Data Engineering:

Designing Databricks ETL Pipelines for Maximum Efficiency

Controlling Cloud Costs



Are your Databricks ETL pipelines silently draining your budget? With 80% of data management experts struggling to accurately forecast cloud costs (Forrester), the efficiency of your ETL processes is more crucial than ever. 


Join us for this session in our Weekly Walkthrough drop-in series, "Controlling Cloud Costs," where we'll explore how to optimize your Databricks ETL pipelines for cost and performance.


You will gain the knowledge and tools to create ETL pipelines that process data effectively and do so with optimal resource utilization. With Unravel's Data Actionability Platform, you can gain deep insights into your pipeline performance and make data-driven decisions to reduce costs.


Elevate your FinOps strategy and drive greater value from your Databricks investment. Watch now and design Databricks ETL pipelines for maximum efficiency.

In this 30-minute session, VP of Solutions Engineering Chris Santiago will guide you through:


Architecting for efficiency: Learn best practices for designing ETL pipelines that minimize resource usage and optimize costs from the ground up.


Performance tuning techniques: Discover advanced strategies to fine-tune your Databricks jobs for peak performance and cost-effectiveness.


Monitoring and optimization: Explore how Unravel's AI-driven platform can continuously monitor and suggest improvements to your ETL processes, ensuring ongoing efficiency.



Chris Santiago

VP of Solutions Engineering

Unravel Data

Controlling Cloud Costs

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