Agentic Deployment & Flink’s Data Platform Ecosystem | Data Engineering Meetup

About this event

Let’s kick things off for another Meetup, this time focusing on Agentic Deployment and Flink’s Data Platform Ecosystem.
Join us on February 26th in Berlin and bring all your questions! : )

Pawel Wiszniewski: *"From Ingestion to Insight: Flink’s Data Platform Ecosystem"*

Pawel Wiszniewski is a Senior Data Engineer at Flink and a well-known face at our Data Engineering Meetups. We're super excited to see our guest now stepping into the presenter's role.
About his keynote: "You have data, analysts, and business use cases. But you can't simply stitch them together with spreadsheets, SQL queries, and Python scripts and still expect business users to trust the dashboards. To ensure data quality, reliability, security and freshness, you need a well organised set of tools and processes: a Data Platform. In this presentation, I will explain how the Data Platform at Flink was built, outline its high-level architecture, and describe the key products, tools, and processes that enable us to operate over a thousand data models and maintain full visibility into the current state of the business."

Sneha Nafade: *"AI Agents & Agentic Deployment"*

Sneha Nafade is a Cloud Architect at Diconium with a rich experience in Cloud & Cybersecurity Architecture & Engineering.
About her keynote: "AI agents are becoming autonomous digital operators capable of managing pipelines, calling APIs, and responding to live data signals. This session provides a practical guide to designing, deploying, and governing agentic systems in real-world production environments."

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What to expect:

• Two expert talks and Q&A
• Networking opportunities in our great Creator Space
• Some snacks & drinks to fuel your thoughts : )

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Timetable:

• 18:30 - Event admission
• 18:50 - Welcome & Introduction
• 19:00 - Pawel Wiszniewski: "From Ingestion to Insight: Flink’s Data Platform Ecosystem"
• 19:30 - 5 minutes break
• 19:35 - Sneha Nafade: "AI Agents & Agentic Deployment"
• 20:05 - Snacks, Drinks & Networking
• 21:30 - End

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More on the -> applydata data engineering meetup page.
Our goal is to form a local data-loving community, so join us and let's talk data together!
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