Agentic Lakehouse: Automating Data Engineering on AWS

Mor Aish ו-Barak Edward, Solutions Architects, AWS | Ruli Weisbach, EVP R&D, ו-Alicia Plotnikov, AIDevEx Team Lead, AppsFlyer

AWS Summit Tel Aviv 2026 · AWS For Data and Analytics · 39 min · 17 pages

In this session, we'll explore how natural language interactions with AI agents can automate and simplify daily data engineering tasks across AWS Glue, Amazon EMR, Amazon Athena, and Amazon Redshift. You'll learn how agentic workflows orchestrate complex analytics operations on a modern lakehouse architecture built with Amazon SageMaker Unified Studio, leveraging Zero-ETL integrations and Apache Iceberg support to unify your data lake and data warehouse. We'll cover implementation strategies, real-world use cases for automating routine data engineering work, architectural patterns for deployment, and production best practices for building intelligent workflows that understand and orchestrate your lakehouse environment.

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