Databricks DevConnect I London
🔊🌟 Calling all data engineers🌟🔊
Join us for Databricks DevConnect on Tuesday, May 1 from 5:00pm - 8:30pm BST at the Databricks London office!
👉RSVP to secure your spot HERE👈
Databricks DevConnect is a technical meetup designed for data engineers to experience an immersive evening of insights, collaborative learning, and community – hosted by the Databricks Developer Relations team. Bringing together data enthusiasts and innovators, we’ll explore the latest advancements in Databricks data engineering, AI, and analytics. You’ll have the chance to dive deep into technical discussions, share real-world experiences, and discover new ways to leverage Databricks’s technologies. Whether you’re a seasoned data engineer or just starting your journey, this event is designed to spark creativity and foster growth in our community. Let’s connect, learn, and push the boundaries of what’s possible with data – together!
Why You Can't Miss This Event:
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🔓 Unlock the Power of Databricks: Discover how our unified platform can power your data engineering and AI initiatives.
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🧠 Learn from Experts: Gain actionable insights from Databricks Engineers, Product Managers, DevRel, and MVPs.
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💻 Engaging Technical Sessions: Deepen technical expertise through interactive demos of the Databricks platform, and tools.
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🤝 Network with the Community: Connect and build relationships with peers, MVPs, Databricks product managers, developer advocates, and engineers.
AGENDA
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5:00 PM: Registration & Mingling
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6:00 PM: Welcome Remarks by:
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Holly Smith, Staff Developer Advocate
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6:15 PM ➡️ Session #1: Format Interoperability with Apache Iceberg™
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Robert Pack, Staff Developer Advocate
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6:45 PM ➡️ Session #2: End-to-End Development with Databricks Assistant: From Data Discovery to Production
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Holly Smith, Staff Developer Advocate
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7:15 PM ➡️ Session #3: Turning the Tables on Tuning your Tables
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Bart Samwel, Principal Software Engineer
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7:55 PM: Closing Remarks by:
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Robert Pack, Staff Developer Advocate
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8:00 PM: Networking Reception
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8:30 PM: Good night
SESSION DESCRIPTIONS
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Format Interoperability with Apache Iceberg™: In this technical session, we will showcase and demonstrate how Databricks simplifies data integration across any open data format. You’ll learn how Databricks allows you to connect to any data source allowing you to have full format interoperability from wherever/whatever your data source.
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End-to-End Development with Databricks Assistant: From Data Discovery to Production: In this technical deep dive, we’ll explore how developers can leverage the Databricks Assistant to streamline workflows across the entire development lifecycle—from data discovery to production deployment. Learn how AI-powered features like Catalog Explorer integration simplify schema exploration and metadata retrieval, while SQL optimization tools help refine query performance. We’ll also showcase new capabilities for diagnosing job errors and troubleshooting DLT pipelines, enabling faster debugging and issue resolution in Python-based workflows. Whether you're authoring SQL queries, troubleshooting Python scripts, or debugging production workflows, discover how the Databricks Assistant accelerates development and enhances operational efficiency.
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Turning the Tables on Tuning your Tables: Traditionally, data engineers spend a lot of time on tuning their tables together with their workloads. Picking partition keys. Choosing whether to use ZORDER or partitioning. Scheduling OPTIMIZE and VACUUM. Planning your schedules carefully to avoid concurrent writes and OPTIMIZES... This talk is about how the Databricks Data Intelligence Platform takes all of those worries out of your hands, so that you can focus on your real job. You'll learn about a number of innovations that combine to make your life easier, including Liquid Clustering, Row-Level Concurrency, and Predictive Optimization. Using these features, you can forget about all that manual tuning and get back to the business at hand!
SPEAKERS
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Holly Smith, Staff Developer Advocate
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Robert Pack, Staff Developer Advocate
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Bart Samwel, Principal Software Engineer

