Zach Mitchell

Data mesh promises domain‑owned data as a product — but the hard part is governance: who can access what, and how you prove it after the fact. In this interactive chalk talk, we whiteboard two patterns for building a data mesh on AWS and debate when each one fits.

Dive into modern approaches to data engineering and machine learning using natural language and agentic AI assistance. We'll walk through practical examples that show how conversational AI and agents can streamline the development of data and ML workflows within Amazon SageMaker Unified Studio.

Legacy data integration and transformation solutions are often complex, consisting of multiple components stitched together. This complexity makes them expensive to manage and maintain.

The data and user growth surge can challenge data management and organization. In this chalk talk, learn about the process of centrally identifying, unifying, and curating your data for lines of business to help accelerate its usage and enable greater focus on business outcomes.

Organizations are modernizing their data stacks with AWS. This chalk talk reviews how AWS Glue makes it easy to migrate your data integration and ETL workloads to the cloud using a serverless architecture that lets you focus on your data.