Automating Data Engineering Pipelines For Powering ML Workflows

Logo
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

Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (12)
Subscribers (996)
At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. Learn more at cloudera.com.