Tuesday September 16th, 2025 5:30PM
In-person and Virtual attendance options 💻
Virtual Registration
In-Person Registration
Featured Speakers
Tyler Faulkner
Xorbix - Software and Data Engineer II
Topics: LakeBase: Operational OLTP Database
Getting LakeBase Up and Running: Walk through spinning up a fully managed Postgres instance on Databricks—show the one-click setup, workspace integration, and how you can jump straight into Databricks SQL (and pgAdmin) for instant queries.
Unity Catalog ↔ LakeBase Sync: Demonstrate two-way synchronization—pull Delta Lake tables into Postgres with optional indexes, then push updated feature or model data back into Unity Catalog for consistent, governed analytics.
Deep Integration with Databricks Apps: Highlight how LakeBase plugs directly into Databricks Apps to power fast, secure operational applications—feature serving, state management, and real-time insights all under one roof.
Upcoming Features & Q&A: Discuss upcoming features such as database branching for safe schema experiments, and autoscaling compute. Then, open the floor for questions on operationalizing LakeBase in your stack.
Use Case Presentation:
Fred Heller
Hitachi Solutions America - Senior Director Data Science & AI
Data to Decisions – Business value through Databricks Data Intelligence
Transform data into outcomes with the power of unified analytics and AIIn today’s data-rich and insight-poor environment, organizations struggle to turn fragmented data into actionable business outcomes. This talk explores how Databricks empowers enterprises to solve domain-specific problems by unifying data engineering, analytics, and AI on a single platform. We will highlight real-world use cases across industries.
Agenda:
5:30PM to 5:35PM - Introduction
5:35PM to 6:00PM - Use Case Presentation and Q/A
6:00PM to 6:30PM - LakeBase Presentation
6:30PM to 7:00PM - Questions Networking
🔊🌟 Calling all data engineers🌟🔊
Join us for Databricks DevConnect Mexico City, in partnership with Deloitte will be on Monday, September 22 from 5:00pm - 9:00pm CST!
RSVP ➡️ luma.com/c621k1o0
Databricks DevConnect is a technical meetup designed for data engineers to get stuck into the details, collaborate, learn, and find your people - hosted by the Databricks Developer Relations team. Together, we’ll chat about new features, deep dive into meaty topics, share real-world experiences, and discover new ways to get Databricks to be the best developer you can be.
Why You Can't Miss This Event:
🏆 Become a 10x Data Engineer by using the best of Databricks for your Data + AI projects
🧠 Learn from exclusive experts that you won’t hear anywhere else; from Product Managers, DevRel, and MVPs.
💬 Connect with your community and build relationships with peers, Developer Advocates, MVPs and Databricks Product Managers.
👕 Get those goodies: Attendees will get access to hands-on training and guided labs through Databricks Academy Labs post event!
AGENDA
5:00 PM: Registration & Mingling
6:00 PM: Welcome Remarks
6:15 PM ➡️ Session #1: Unity Catalog: The Everything Catalog
David Leiva, Lead Scale Solution Engineer, Databricks
6:45 PM ➡️ Session #2: Lakeflow: A unified, intelligent solution for data engineering
Vlad Sagot, Sr. Technical Services Engineer, Databricks
7:15 PM ➡️ Session #3: Don’t spend more than you have to with Cost Controls on Databricks
Diego Gomez, Scale Solution Engineer, Databricks
7:45: New Features Rapidfire
7:55 PM: Closing Remarks
8:00 PM: Networking Reception
9:00 PM: Good night
SESSION DESCRIPTIONS
UC: The Everything Catalog It’s been four years since Unity Catalog has been introduced, originally to manage access to organised data and files. Today it’s the backbone of many exciting advancements including federated connectivity to third party services, table format agnosticism, automatically delivered system tables, lineage, background table optimisations, the list goes on. Join us to hear the latest developments and what the future holds.
Lakeflow: A unified, intelligent solution for data engineering Discover how Lakeflow brings together connect, transform, and orchestrate into one experience—powered by managed connectors, Declarative Pipelines, and Jobs with Unity Catalog governance. See Lakeflow Connect, Pipelines, and Jobs in action to ingest batch and streaming, and ship production-grade pipelines with built‑in CI/CD, observability, and serverless reliability.
Don’t spend more than you have to with Cost Controls on Databricks No one likes being slapped with a massive cloud bill, especially ones caused by silly mistakes. Databricks has invested heavily into cost controls so you know how much you’re spending, prevent accidental spend, keep to your budget, and charge back to that vibe coding data scientist that insisted on GPUs.
New Features Rapidfire With so many new features, we can’t possibly go through them all, so this is a rapidfire of new features with a 30 second overview of what they do.
SPEAKERS
David Leiva, Lead Scale Solution Engineer, Databricks
Diego Gomez, Scale Solution Engineer, Databricks
Vlad Sagot, Sr. Technical Services Engineer, Databricks
🚀 Learn, Level Up, and Get Rewarded! 🚀 📅 Save the dates: October 10 – October 31, 2025!
🎉 We're celebrating learning, growth, and career advancement with an exciting opportunity to level up in data engineering, data analysis, machine learning, and generative AI. Whether you're just starting out or sharpening your expertise, this is your chance to invest in yourself alongside thousands of professionals.
🎟️ Users who complete at least one self-paced learning pathway within Customer Academy between October 10 and October 31 will receive the following incentives: ✨ 50% off any Databricks Certification ✨ 20% off an annual Databricks Academy Labs subscription
For full details, check out the FAQ page
💬 Note: Rewards will be emailed to the address linked to your Databricks Academy account in early November after the event has concluded.
Explore the learning pathways and get started below:
COURSES REQUIRED
CUSTOMER ACADEMY ENROLLMENT LINKS
LEARNING PATHWAY 1: ASSOCIATE DATA ENGINEERING
Please complete the following 4 modules from the Data Engineer Learning Plan:
Data Ingestion with Lakeflow Connect
Deploy Workloads with Lakeflow Jobs
Build Data Pipelines with Lakeflow Declarative Pipelines
Data Management and Governance with Unity Catalog
LEARNING PATHWAY 2: PROFESSIONAL DATA ENGINEERING
Please complete the following 4 modules from the Data Engineer Learning Plan:
Databricks Streaming and Lakeflow Declarative Pipelines
Databricks Data Privacy
Databricks Performance Optimisation
Automated Deployment with Databricks Asset Bundles
LEARNING PATHWAY 3: DATA ANALYSTS
Please complete the following 2 modules from the Data Analyst Learning Plan:
AI/BI for Data Analysts
SQL Analytics on Databricks
LEARNING PATHWAY 4: ASSOCIATE ML PRACTITIONERS
Please complete the following 4 modules from the Machine Learning Practitioner Learning Plan:
Data Preparation for Machine Learning
Machine Learning Model Development
Machine Learning Model Deployment
Machine Learning Operations
LEARNING PATHWAY 5: PROFESSIONAL ML PRACTITIONERS
Please complete the following 2 modules from the Machine Learning Practitioner Learning Plan:
Advanced Machine Learning Operations
Machine Learning at Scale
LEARNING PATHWAY 6: GENERATIVE AI ENGINEERING
Please complete the following 4 modules from the Generative AI Engineering Learning Plan:
Generative AI Solution Development
Generative AI Application Development
Generative AI Application Evaluation and Governance
Generative AI Application Deployment and Monitoring
LEARNING PATHWAY 7: APACHE SPARK DEVELOPER
Please complete the following 4 modules from the Apache Spark™ Developer Learning Plan:
Introduction to Apache Spark™
Developing Applications with Apache Spark™
Stream Processing and Analytics with Apache Spark™
Monitoring and Optimizing Apache Spark™ Workloads on Databricks
LEARNING PATHWAY 8: DATA WAREHOUSING PRACTITIONER
Please complete the following 2 modules from the Data Warehousing Practitioner Learning Plan:
Data Warehousing with Databricks
SQL Programming and Procedural Logic in Databricks
Happy learning! 📚🎓🧑💻🧑
#Databricks #MachineLearning #DataEngineering #AI #GenerativeAI #DataAnalysis #Upskill #Certification #TechCareers #LearningFestival #DataScience #AICommunity #DatabricksAcademy #DataSkills #AITraining #LearntoEarn
