Real-World Data Engineering: Governance, Lineage, and Preparation
Featured presenter: Vicente Ruben Del Pino Ruiz, Director, Data Engineering at UnitedHealth Group
Big Data, NoSQL, the cloud…choosing the right tool and the right environment for data engineering is harder than ever. Apart of the right technology, ensuring the long-term success of any data initiative involves setting the right framework of methodologies and components. There are many lessons to learn, challenges to overcome and common pitfalls to avoid in Data Engineering. Learn to avert common mistakes, lessons learned and challenges we faced building a data engineering area in a Global Fortune 5 company.
- 11:30-12:30pm: Featured Presentation
- 12:30-13:00pm: Your Q&A and interaction
About Data for AI:
The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, Data Preparation, Data Labeling & Annotation, Sourcing and Generating Data, and All Other Topics Data-Related for AI.
DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models.