Automating Data Engineering Pipelines For Powering ML Workflows

Presented by

Santiago Giraldo and Shaun Ahmadian

About this talk

One of the biggest challenges with machine learning in the enterprise is ensuring ML data is up to date, clean, and delivered to data science teams in ways that make it immediately usable. In this session, learn how Cloudera Data Platform (CDP) empowers data engineers and data scientists to: -Collaborate and communicate seamlessly across CDP Data Engineering and Machine Learning -Securely share data, outputs, and ML models in a single unified platform -Increase productivity across teams with purpose-built tooling designed for speed — enabling data engineers to automate data pipelines, and data scientists to focus on building AI use cases Presenters: -Santiago Giraldo, Director of Product Marketing, Data Engineering & ML, Cloudera -Shaun Ahmadian, Senior Manager, Product Management, Data Engineering, Cloudera
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