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AI Agents for Data Engineering and Data Science - Episode 11

Google Cloud Tech via YouTube

Overview

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Explore AI agents for data engineering and data science in this 42-minute episode of The Agent Factory podcast. Join hosts Smitha Kolan and Lucia Subatin as they demonstrate cutting-edge AI tools and agents that streamline data workflows and enhance productivity for developers and data professionals. Discover the new Gemini 2.5 Computer Use Model through live demonstrations, learn about CodeMender's AI-powered code security capabilities, and witness comprehensive demos of BigQuery's data engineering agent and data science agent in action. Watch as the data science agent detects anomalies in datasets while the data engineering agent generates SQL queries and creates data pipelines using natural language commands. Experience an innovative ADK application that leverages Spanner's graph database to generate comics from database concepts using Nano Banana. Gain practical insights into connecting agents to BigQuery and Spanner through ADK and MCP, utilizing knowledge graphs in Spanner to ground RAG systems and reduce drift, and building robust data pipelines for agentic applications. Learn to harness the power of natural language processing for data engineering tasks and understand how to implement the Gemini 2.5 Computer Use Model and CodeMender in your development workflow. The episode concludes with a comprehensive Q&A session addressing availability, scalability, and implementation considerations for the demonstrated agents and tools.

Syllabus

00:00 - Intro
01:45 - Gemini Computer Use Model and Demo
04:33 - CodeMender: AI agent for code security
06:44 - Data Engineering and Data Science Agents Demo
09:01 - How the data science agent helps in detecting anomalies in datasets
10:27 - How the data engineering agent uses AI to generate SQL and create data pipelines
26:01 - Demo of ADK app that uses a Spanner graph database and generates comics using Nano Banana
38:49 - Developer Q&A

Taught by

Google Cloud Tech

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