Webinar
Partner Tech Talk Series
The Partner Tech Talk series shares the latest Databricks product updates, previews, and upcoming features, plus highlights best practices and architecture recommendations.
We are excited to showcase an exclusive four-part Tech Talk series showcasing the latest Databricks innovations and partner-centric solutions. These interactive sessions are designed to help you stay ahead of the curve, deepen your technical understanding, and drive impactful conversations with customers. Each session will feature live demos, interactive AMAs, and actionable insights to truly upskill you on the latest Databricks capabilities.
BONUS! Attend all four remaining Tech Talk sessions in the series to earn a digital badge, get access to discounted certification vouchers, and unlock exclusive partner perks!
Part 1: September 3, 2025 (Lakeflow and Lakebridge Deep Dive)
We are kicking off the Tech Talk series with a deep dive into Lakeflow and Lakebridge, two powerful capabilities that streamline data ingestion and accelerate migrations into the Databricks lakehouse. In this session, we'll showcase:
- How Lakeflow simplifies and automates data pipelines at scale, from ingestion to ETL to orchestration
- How Lakebridge enables fast, schema-aware migrations from legacy systems like SQL Server and Teradata
- Live demos and real-world use cases to help you put these tools into action
This is your chance to get hands-on insights into how Databricks is reimagining data movement — with performance, reliability, and simplicity at its core.
Part 2: October 8, 2025 (Build and Manage Your Agents Using Mosaic AI and Agent Bricks)
Explore how to build production-grade GenAI agents using Mosaic AI and Agent Bricks — the Databricks native framework for orchestrating, deploying, and managing AI-driven workflows. In this session, we’ll showcase:
- How to use Mosaic AI tools for retrieval-augmented generation (RAG), evaluation, and fine-tuning
- How Agent Bricks simplifies building multi-step, tool-using agents directly within the lakehouse
- Live demos and partner-ready blueprints to accelerate real-world adoption
Whether you're building your next chatbot, agents for customer service automation, or data copilots — this session will show you how to operationalize GenAI, securely and at scale.
Part 3: November 5, 2025 (Understanding Lakebase and Databricks Apps)
Discover how to build modern, secure, and scalable data and AI apps directly within Databricks. In this session, we’ll showcase:
- How Lakebase, our serverless Postgres-compatible OLTP engine, powers real-time transactions in the lakehouse
- How to build native Databricks Apps using Streamlit, Flask, and more — with built-in auth, governance, and deployment
- Live demos and partner-ready templates to help you get started fast
Take your Databricks lakehouse from insights to fully interactive applications — all in one platform.
Part 4: December 3, 2025 (All About AI/BI – Dashboards and Genie)
For the final webinar in this series, we will close out by exploring how Databricks is transforming business intelligence with AI-native dashboards and Genie, our conversational AI assistant. In this session, we’ll showcase:
- How Genie helps business users ask questions and get answers from their data in natural language
- How to build interactive, AI-powered dashboards that combine the best of BI and GenAI
- Live demos and real-world examples of how to bring AI/BI to life for your customers
It’s BI — reimagined with the power of GenAI.
On-Demand Webinars:
To watch these webinars, visit the Databricks Partner Portal:
October 2024: GenAI Product Roadmap + AWS EMR Migration Services Delivery Kit
Presented on October 2: Databricks is making significant updates to Mosaic AI Gateway. Come hear about how it is designed to help your customers accelerate their AI initiatives with even greater simplicity, security, and governance. This Tech Talk also shares best practices and resources for upskilling and delivering AWS EMR Migration projects, from discovery to productionalization.
November 2024: Advanced RAG Techniques + UC Services Delivery Kit
Presented on November 6: This Tech Talk showcases a demo for how to build a robust, enterprise-grade RAG system using the Databricks Data Intelligence Platform, including how to integrate third party components with AI Gateway and how to leverage Lakehouse Monitoring for better governance. It also details the latest updates to the Databricks Unity Catalog Service Delivery Kit, which helps you jumpstart your client projects.
December 2024: Advanced RAG Techniques + UC Services Delivery Kit
Presented on December 4: AI/BI Genie leverages generative AI tailored to an organization’s business terminology to allow users to ask questions and receive relevant and accurate answers directly from their enterprise data, without having to learn complicated tools or rely on expert practitioners. In this webinar, join our Director of Product Marketing, Richard Tomlinson, to tour the latest AI/BI features and get a sneak peek into the AI/BI roadmap.
April 2025: Observability Service Delivery Kit and Redshift Migration Kit
Presented on April 2: The Databricks Professional Services Team shared an overview of the Databricks Observability Service Delivery Kit and Redshift Migration Kit, which provides guides, templates, and best practices to help you deliver the very best for our joint customers.
May 2025: Architecting Self-Improving AI Systems with Databricks & Compound AI
Presented on May 7: We examined how Databricks is the foundation for architecting AI that not only performs tasks, but learns, adapts, and optimizes itself over time. Through architectural insights and practical considerations, we shared how data, feedback loops, and decision intelligence can come together to enable truly autonomous AI systems.
June 2025: Databricks Serverless
Presented on June 4: We took a closer look at how Databricks Serverless streamlines the data journey by removing infrastructure hurdles and empowering teams to deliver faster insights and scalable AI solutions with ease. We detailed key scenarios where Serverless is ideal and how teams can leverage it for both SQL and AI workloads.