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Agents at Work: Shipping Agentic Apps at Scale | Virtual Event

Tushar_Parekar — Fri, 26 Jun 2026 11:05:02 GMT

VIRTUAL EVENT
Time:
AMER Aug 4 / 9:00 AM PT / 12:00 PM ET
EMEA Aug 5 / 9:00 AM BST / 10:00 AM CEST
APAC Aug 6 / 9:30 AM IST / 12:00 PM SGT / 2:00 PM AEST (Japanese and Korean captions available)

🔗 Register for the Workshop

Note: Marking RSVP on this Community event does not register you for the workshop. Please use the Register button above to complete your registration on the official event page.

One agent is just the start. Running fleets of AI agents is becoming increasingly important as developers and enterprises move from experimentation to production.

In this live webinar, experts from Databricks, OpenAI and Stellantis will discuss what it takes to ship agentic apps at scale and how organizations can govern the agents they run on Databricks.

Join us to learn:

How to govern AI agents across your organization on Databricks
What organization-wide policies, a unified skill and MCP registry, fine-grained permissions and full auditability can enable for enterprise teams
How to scale agentic applications without adding operational sprawl

Register now to hear practical guidance and real-world perspectives from Databricks, OpenAI and Stellantis on running enterprise AI agents at scale.

FREE TRAINING: Databricks Business Impact Accelerator

Jim_Anderson — Fri, 05 Jun 2026 12:24:39 GMT

🚀 Join Our Business Impact Accelerator Sessions! 🚀

🎉 We are thrilled to invite you to the Business Impact Accelerator, a specialized single-session program designed specifically for business professionals, executives, and non-technical teams.

If you want to move beyond static dashboards and get immediate, self-service answers directly from your organization's secure data, this accelerator is for you.

Through real-world scenarios and hands-on exercises packed into this session, you will learn to interact with data using everyday language, uncover critical insights, and support major decision-making across functions like finance, operations, marketing, and HR.

🎟️ What you will walk away with after attending the session:

✨ Self-Service Mastery: The ability to query complex datasets without waiting on data engineering teams through Genie.
✨ Actionable Outcomes: A gamified business challenge experience where you solve real-world scenarios and present findings.

📋 Who Is This For? This program requires zero SQL or coding knowledge. A basic familiarity with general data concepts (like tables, columns, or metrics) is all you need to get started.

📅 Upcoming Public Classes:

Date	Time	Language	Price
Jun 30	09 AM - 12 PM (America/Los_Angeles)	English	Free
Jul 01	09 AM - 12 PM (Europe/London)	English	Free
Jul 02	11 AM - 02 PM (Asia/Singapore)	English	Free
Jul 28	09 AM - 12 PM (America/Los_Angeles)	English	Free
Sep 22	11 AM - 02 PM (Asia/Singapore)	English	Free

Ready to Reserve Your Seat?

Select your preferred time block from the schedule above, then click the button below to view the official course catalog page and complete your class registration.

Go to Course Catalog & Register ➔

DAIS 2026 | Community Virtual Contest – Showcase Your Skills & Win Exclusive Swag

Advika — Mon, 01 Jun 2026 19:50:49 GMT

We promised something special and here it is. 🎉

We're thrilled to introduce the DAIS 2026 Community Virtual Challenge, open to every member of the Databricks Community, wherever you are in the world.

📅 Opens: May 15, 2026

🔒 Closes: May 31, 2026

🏆 Winners: TBD

What is it?

Create a project using Databricks Free Edition, share it with the Community, and compete for a chance to win Community swag.

Here's how to participate

🛠️ Create Build any project on Databricks Free Edition – solve something that matters to you, whether it's a business problem, a personal project, or an idea you've always wanted to explore.

🎥 Record Record a short demo video of 2–5 minutes, walking through your project and explaining what it does. Upload it to YouTube, Google Drive, OneDrive, or Dropbox.
Make sure the video is accessible – set to "Anyone with the link can view" or share with community@databricks.com before submitting.

✍️ Post Write a post in the Community Articles section describing what you built and what you achieved. No code required – just share your experience and learnings. You may optionally include the demo video, but it is not mandatory.

📋 Submit Fill out the submission form with your video link, community post link, and project details.

Ready to compete?

Submit your video, post & project details

📎 Open Submission Form →

How can you win this?

Our judges – Databricks Community Fellows (our elite squad of internal experts) and Community Team – will review every submission and score it across 5 criteria, each worth 10 points:

Criteria	What we're looking for	Points
🌟 Originality	How unique and creative is the idea?	10
⚡ Innovation	Does it introduce a fresh approach or solve a problem in a new way?	10
🌍 Real-World Relevance	Does the project solve a real problem or have practical value?	10
🛠️ Use of Databricks Free Edition	How well did they leverage the platform's features?	10
🎥 Project Showcase	Does the video effectively communicate what was built and why it matters?	10
Total		50

Tiebreaker: In case of a tie, the entry with more likes on their project post wins. So share your Community post and get the votes rolling!

🏆 Top 5 Winners

Swag Awaits

Community Swag

Databricks Community swag -- shipped to your door.

What exactly? That's the mystery. 🤫

🙋 Interested in participating? Drop your RSVP as Yes on this post -- it helps us see who’s working on something cool 👀. And don't forget to 🔗 Submit the Form!

Ready to show what you've got? We can't wait to see what the community creates.

Good luck everyone! 🚀

Advanced Learning Festival: 15 June - 06 July 2026

VALF — Thu, 25 Jun 2026 11:36:12 GMT

🚀 Grow Your Skills and Earn Rewards! 🚀

📅 Mark your calendar: June 15 – July 6, 2026

🎉 Join us for a three-week event dedicated to learning, upskilling, and advancing your career in data engineering, analytics, machine learning, and generative AI. Whether you're new to the field or aiming to deepen your knowledge, this is a great opportunity to invest in your professional development alongside a global community.

🎟️ Finish all of the modules listed within at least one of the self-paced learning pathways below within Customer Academy during the event window to receive:

✨ 50% discount on any Databricks Certification

✨ 20% discount on a yearly Databricks Academy Labs subscription

💬 Incentives will be distributed to the email associated with your Customer Academy account on July, after the event has concluded.

⚠️ Note: Please ensure every component of the course is marked as completed (including any course introduction sections) during the eligibility window to confirm your learning pathway is properly recorded.

Please review the FAQ page linked here for further information.

Start exploring your learning options below!

Qualification Criteria

Customer Academy Enrollment Links

Pathway	Title & Modules
Learning 1 Pathway	ASSOCIATE DATA ENGINEERING Please complete all 4 modules from the Data Engineer Learning Plan: Data Ingestion with Lakeflow Connect Deploy Workloads with Lakeflow Jobs Build Data Pipelines with Lakeflow Spark Declarative Pipelines DevOps Essentials for Data Engineering
Learning 2 Pathway	PROFESSIONAL DATA ENGINEERING Please complete all 4 modules from the Data Engineer Learning Plan: Advanced Techniques with Spark Declarative Pipeline Databricks Data Privacy Databricks Performance Optimization Automated Deployment with Declarative Automation Bundles
Learning 3 Pathway	DATA ANALYSTS Please complete both modules from the Data Analyst Learning Plan: AI/BI for Data Analysts SQL Analytics on Databricks
Learning 4 Pathway	ASSOCIATE ML PRACTITIONERS Please complete all 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 5 Pathway	PROFESSIONAL ML PRACTITIONERS Please complete both modules from the Machine Learning Practitioner Learning Plan: Machine Learning at Scale Advanced Machine Learning Operations
Learning 6 Pathway	GENERATIVE AI ENGINEERING Please complete all 4 modules from the Generative AI Engineering Learning Plan: Building Retrieval Agents on Databricks Building Single-Agent Applications on Databricks Generative AI Application Evaluation and Governance Generative AI Application Deployment and Monitoring
Learning 7 Pathway	APACHE SPARK DEVELOPER Please complete all 4 modules from the Apache Spark™ Developer Learning Plan: Introduction to Apache Spark™ Developing Applications with Apache Spark™ Stream Processing and Analysis with Apache Spark™ Monitoring and Optimizing Apache Spark™ Workloads on Databricks
Learning 8 Pathway	DATA WAREHOUSING PRACTITIONER Please complete both modules from the Data Warehousing Practitioner Learning Plan: SQL Programming and Procedural Logic in Databricks Data Modelling Strategies

Happy learning! 📚🎓🧑‍💻

See you on the leaderboard.

DAIS registrants: apply for the Apps & Agents for Good Hackathon 2026

Tushar_Parekar — Fri, 15 May 2026 16:44:43 GMT

Already registered for Data + AI Summit 2026? Join us on Monday, June 15 for the Databricks Apps & Agents for Good Hackathon 2026, hosted in partnership with OpenAI.

Secure your spot and apply by Sunday May, 31

Note: Marking RSVP on this Community event does not register you for the workshop. Please use the Secure your spot button above to complete your registration on the official event page.

This multi-day hackathon invites teams of 2–4 to build agentic data apps for social impact using Lakebase, Agent Bricks, and Databricks Apps. It’s a chance to build with purpose, collaborate with other developers, and present your work through live judging, a project showcase, and cash prizes for standout submissions.

What to know

Who can apply: Data + AI Registrants
Applications due: Sunday, May 31 at 11:59pm PST
Hackathon kickoff: Monday, June 15, 8:00am–4:00pm PST
(Optional) Hacker’s Corner: Tuesday, June 16, 11:00am–5:00pm PST
Judging + Awards Ceremony: Tuesday, June 16, 6:00pm–9:00pm PST
(Optional) Selected project showcase: Wednesday, June 17 - Thursday, June 18

Please note that participants are required to attend Data + AI Summit 2026 and be there in person for the required hackathon sessions.

See the Official Hackathon Rules 🔗.

The New Martech “Stack” for the AI Age | Webinar

Tushar_Parekar — Tue, 14 Apr 2026 14:09:35 GMT

Webinar
Time: 8:00 AM PT / 4:00 PM GMT

Note: Marking RSVP on this Community event does not register you for the workshop. Please use the Register button above to complete your registration on the official event page.

As AI agents and humans increasingly need to reason and work together, rigid martech “stacks” can no longer keep up.

In this exclusive virtual event, Scott Brinker, dubbed the “godfather of martech” by Ad Age, will be joined by marketing executives from Samsara and HP for a live discussion on the future of marketing technology.

Join us to learn:

Why the shift from traditional martech stacks to a fluid, composable canvas is inevitable in the age of AI
What a practical 3-to-5-year roadmap looks like to evolve your stack without disruptive rip-and-replace
How leading CMOs are turning their marketing architecture into a competitive advantage

Register now to gain practical insights, architectural clarity and real-world lessons from leaders shaping the next era of martech.

Databricks Foundational Workshops - Asia-Pacific | Monthly Hands-On Virtual Workshop

Rishabh_Tiwari — Fri, 27 Mar 2026 13:59:14 GMT

Monthly Live Workshops | Hands-On Labs
Time: 9:30 AM IST | 12:00 PM SGT | 3:00 PM AEDT
Duration: 60 - 90 mins

Note: Marking RSVP on this Community event does not register you for the workshop. Please use the Register button above to complete your registration on the official event page.

The Databricks Foundational Workshop Series is a monthly instructor-led program designed to help data and AI practitioners build real, practical skills through hands-on labs.

Each 60–90 minute session focuses on a core capability of the Databricks Data Intelligence Platform, giving you experience you can immediately apply in your day-to-day work.

Whether you’re a Data Engineer, Data Analyst, Data Scientist, Data Architect, or Apps Developer, this series is designed to help you build confidence with Databricks — from governed data foundations to SQL analytics and AI-driven use cases.

Workshop Topics

Unity Catalog: Unified, Open Governance for Data and AI – Mar 12
AI-Powered Data Engineering with Lakeflow – Mar 18
Databricks SQL in Action: Intelligent Data Warehousing, Analytics and BI – Apr 1
Building AI Systems with Databricks: From Concept to Deployment – May 20

Each workshop blends essential concepts with guided labs in a live Databricks environment — so you learn by doing, not just watching.

Databricks Learning Festival - Business Edition (Instructor-Led): Global

s_park — Fri, 20 Mar 2026 03:27:27 GMT

Turn AI hype into everyday business decisions

Join us for the Databricks Learning Festival – Business Edition, a free, global virtual event designed specifically for business professionals looking to unlock the power of data and AI — no deep technical background required.

📅 Event Details

Date: April 22, 2026
Format: Virtual (on Uplimit Platform)
Session Tracks: Choose the timezone that works best for you and register with the respective links below (Important Note: Clicking on "Yes" on the right hand side under "Will you be attending?" will NOT register you to the session)

09:00 - 12:00 PST [REGISTER HERE]
09:00 - 12:00 GMT [REGISTER HERE]
11:00 - 14:00 SGT [REGISTER HERE]

Course: AI/BI for Self-Service Analytics (3 hours, hands-on)

🌍 Why attend?

This hands-on learning experience is built for analysts, decision-makers, and business professionals across Finance, Sales, Marketing, and beyond.

You’ll learn how to:

Make smarter, data-driven decisions in your day-to-day work
Turn data into actionable insights using AI/BI
Navigate the Databricks Data Intelligence Platform with confidence
Apply practical skills immediately through guided exercises

🎓 What to expect

✅ Live, instructor-led training
✅ Hands-on labs (no cost, no setup required)
✅ Live Q&A with Databricks experts
✅ Real-world use cases for business professionals

💡 Who should join?

Business analysts
Data consumers
Decision-makers exploring AI & BI
Anyone in the discovery or evaluation stage of Databricks

✨ Ready to get started?

Embark on a hands-on learning journey and discover how to turn data into real business impact.

👉 Register now with below links to secure your spot

09:00 - 12:00 PST [REGISTER HERE]
09:00 - 12:00 GMT [REGISTER HERE]
11:00 - 14:00 SGT [REGISTER HERE]

Important Note: Clicking on "Yes" on the right hand side under "Will you be attending?" will NOT register you to the session.

🔗 Stay tuned

More details, reminders, and access links will be shared after registration.

Databricks Learning Festival (Self-paced): Global

Jim_Anderson — Wed, 01 Apr 2026 08:32:01 GMT

🚀 Grow Your Skills and Earn Rewards! 🚀
📅 Mark your calendar: 16 March – 03 April, 2026

🎉 Join us for a three-week event dedicated to learning, upskilling, and advancing your career in data engineering, analytics, machine learning, and generative AI. Whether you’re new to the field or aiming to deepen your knowledge, this is a great opportunity to invest in your professional development alongside a global community.

🎟️ Finish all of the modules listed within at least one of the self-paced learning pathways below within Customer Academy during the event window to receive:
✨ 50% discount on any Databricks Certification
✨ 20% discount on a yearly Databricks Academy Labs subscription

💬 Incentives will be distributed to the email associated with your Customer Academy account on April 9, after the event has concluded.

⚠️ Note: Please ensure every component of the course is marked as completed (including any course introduction sections) during the eligibility window to confirm your learning pathway is properly recorded.

Please review the FAQ page linked here for further information.

Start exploring your learning options below!

QUALIFICATION CRITERIA	CUSTOMER ACADEMY ENROLLMENT LINKS
LEARNING PATHWAY 1: ASSOCIATE DATA ENGINEERING
Please complete all 4 modules from the Data Engineer Learning Plan:	Data Ingestion with Lakeflow Connect Deploy Workloads with Lakeflow Jobs Build Data Pipelines with Lakeflow Spark Declarative Pipelines DevOps Essentials for Data Engineering
LEARNING PATHWAY 2: PROFESSIONAL DATA ENGINEERING
Please complete all 4 modules from the Data Engineer Learning Plan:	Advanced Techniques with Spark Declarative Pipelines Databricks Data Privacy Databricks Performance Optimization Automated Deployment with Declarative Automation Bundles
LEARNING PATHWAY 3: DATA ANALYSTS
Please complete both modules from the Data Analyst Learning Plan:	AI/BI for Data Analysts SQL Analytics on Databricks
LEARNING PATHWAY 4: ASSOCIATE ML PRACTITIONERS
Please complete all 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 both modules from the Machine Learning Practitioner Learning Plan:	Machine Learning at Scale Advanced Machine Learning Operations
LEARNING PATHWAY 6: GENERATIVE AI ENGINEERING
Please complete all 4 modules from the Generative AI Engineering Learning Plan:	Building Retrieval Agents on Databricks Building Single-Agent Applications on Databricks Generative AI Application Evaluation and Governance Generative AI Application Deployment and Monitoring
LEARNING PATHWAY 7: APACHE SPARK DEVELOPER
Please complete all 4 modules from the Apache Spark™ Developer Learning Plan:	Introduction to Apache Spark™ Developing Applications with Apache Spark™ Stream Processing and Analysis with Apache Spark™ Monitoring and Optimizing Apache Spark™ Workloads on Databricks
LEARNING PATHWAY 8: DATA WAREHOUSING PRACTITIONER
Please complete all 3 modules from the Data Warehousing Practitioner Learning Plan:	Data Warehousing with Databricks SQL Programming and Procedural Logic in Databricks Data Modelling Strategies

Happy learning! 📚🎓🧑‍💻🧑‍

#Databricks #MachineLearning #DataEngineering #AI #GenerativeAI #DataAnalysis #Upskill #Certification #TechCareers #LearningFestival #DataScience #AICommunity #DatabricksAcademy #DataSkills #AITraining #LearntoEarn

Data Intelligence with Databricks on AWS Workshop - Live, Virtual Workshop

Rishabh_Tiwari — Fri, 06 Mar 2026 13:20:00 GMT

Tuesday, March 17, 2026 | 9:00 AM-12:00 PM PT

Note: Marking RSVP on this Community event does not register you for the workshop. Please use the Register button above to complete your registration on the official event page.

The Databricks Data Intelligence Platform enables organizations to unlock the full potential of their data and AI initiatives. Built on the lakehouse architecture, it provides a unified system to query and manage all enterprise data while delivering an open and governed foundation for analytics, data engineering, and machine learning.

Powered by the Data Intelligence Engine, Databricks understands the unique characteristics of your data to help simplify and accelerate your data and AI workflows — from ETL and data warehousing to advanced analytics and generative AI.

Join Databricks and AWS for this live virtual hands-on workshop to learn how to implement a complete data analytics, data engineering, and data science lifecycle using the lakehouse architecture with Databricks on AWS.

In this workshop, you’ll learn:

How to access and analyze all your data — structured, semi-structured, and unstructured — using the Data Intelligence Platform
How to integrate SAP data with the rest of your enterprise data for advanced analytics and AI use cases
How to query and visualize lakehouse data using Databricks SQL
How to train machine learning models and generate predictions using Databricks on AWS
How to track experiments and tune hyperparameters with MLflow
How to deploy and serve models using MLflow and other AWS services

This instructor-led workshop includes guided hands-on labs that walk you through real-world data engineering, machine learning, and analytics workflows.

Agenda

9:00 AM - 9:30 AM	Databricks & AWS Introduction
9:30 AM - 10:30 AM	Data Engineering Hands-On Lab
10:30 AM - 11:10 AM	Data Science and ML Hands-On Lab
11:10 AM - 11:50 AM	Databricks SQL Hands-On Lab
11:50 AM - 12:00 PM	Q&A

AI-Powered Data Engineering with Lakeflow: Techniques for Modern Data Professionals - Virtual

Rishabh_Tiwari — Fri, 06 Mar 2026 13:11:45 GMT

Friday, March 13, 2026 | 9:00 AM-10:35 AM PT

Note: Marking RSVP on this Community event does not register you for the workshop. Please use the Register button above to complete your registration on the official event page.

This introductory workshop caters to data engineers seeking hands-on experience and data architects looking to deepen their knowledge.

The session is designed to provide a solid understanding of core data engineering and streaming concepts within the Databricks Data Intelligence Platform while giving participants practical experience with real-world scenarios.

During the workshop, you will work with a realistic streaming data use case and explore how modern data pipelines can support real-time decision making.

In this workshop, you’ll learn:

Introduction to Lakeflow and the Databricks Data Intelligence Platform
Getting started with Declarative Pipelines, Streaming Tables, and Materialized Views
Working with a realistic data streaming use case
Mastering Lakeflow Jobs with advanced control flow and triggers
Using Generative AI tools for data engineers including Genie and Databricks Assistant
Understanding data governance and lineage with Unity Catalog
Benefits of Serverless Compute

We believe you become an expert by solving real problems and gaining hands-on experience. In this workshop, you will receive your own lab environment and be guided through practical exercises such as using GitHub, ingesting data from multiple sources, and building both batch and streaming pipelines.

The session will conclude with a live Q&A where you can ask questions and interact with Databricks experts.

Agenda

9:00 AM - 9:05 AM	Welcome & Introductions
9:05 AM - 9:20 AM	Data Pipelines for Real-time Decisions
9:20 AM - 10:35 AM	Hands-on Lab and Q&A

Databricks SQL in Action: Intelligent Data Warehousing, Analytics & BI Workshop - March 11 - Virtual

Rishabh_Tiwari — Fri, 06 Mar 2026 10:23:19 GMT

Wednesday, March 11, 2026 | 9:00 AM-11:30 AM PT

Note: Marking RSVP on this Community event does not register you for the workshop. Please use the Register button above to complete your registration on the official event page.

Most organizations run complex cloud data architectures that silo applications, users and data. As a result, most analysis is performed on stale data and there’s no single source of truth for analytics — making it difficult to scale trusted insights across teams.

Join this interactive hands-on workshop to learn how Databricks SQL enables a multicloud lakehouse architecture that delivers data warehouse performance at data lake economics — with up to 12x better price/performance than traditional cloud data warehouses.

You’ll discover how data architects can unify infrastructure and governance, while data analysts and BI teams can work with the freshest, most complete data — accelerating insights using Databricks’ native AI/BI capabilities along with their favorite BI tools.

Whether you’re building a scalable foundation or delivering insights to the business, this workshop will help you modernize your analytics stack and make AI-powered BI a reality.

In this workshop, you’ll learn:

How the Data Intelligence Platform and Databricks SQL support a unified, multicloud lakehouse architecture
How to manage and monitor compute, data access and users across your lakehouse using Databricks SQL
How data teams and analysts can query directly on your data lake using the built-in SQL editor, AI/BI or their preferred BI tools
How to use AI-assisted features like AI code completion, automated dashboard creation and natural language querying via AI/BI Genie to increase productivity

Led by Databricks instructors, this interactive live workshop includes opportunities to practice during the hands-on lab and ask questions.

Agenda

9:00 AM - 9:05 AM	Welcome and Introduction
9:05 AM - 9:30 AM	Product Overview
9:30 AM - 11:00 AM	Guided Hands-On Lab
11:00 AM - 11:30 AM	Live Q&A
11:30 AM	Conclusion

Databricks Foundational Workshops | Asia-Pacific | Monthly Hands-On Virtual Workshop

Rishabh_Tiwari — Fri, 06 Mar 2026 10:13:50 GMT

Asia-Pacific | Monthly Hands-On Virtual Workshop

Databricks Foundational Workshops

Level up your data and AI skills

When: Monthly live workshops with hands-on labs

Time: 9:30 AM IST | 12:00 PM SGT | 3:00 PM AEDT

Duration: 60 – 90 minutes

Note: Marking RSVP on this Community event does not register you for the workshop. Please use the Register button above to complete your registration on the official event page.

The NEW Databricks Foundational Workshop Series is a monthly 60–90 minute live, instructor-led workshop designed to help data and AI practitioners build real skills through hands-on labs. Each session focuses on one of four core capabilities of the Databricks Data Intelligence Platform, giving you practical experience you can apply immediately at work.

Whether you are a Data Engineer, Data Analyst, Data Scientist, Data Architect, Apps Developer, or other practitioner, these workshops are designed to help you build confidence with Databricks — from governed data foundations to SQL analytics and AI use cases.

Workshop Sessions

Building AI Systems with Databricks: From Concept to Deployment – Feb 13
Unity Catalog: Unified, Open Governance for Data and AI – Mar 12
AI-Powered Data Engineering with Lakeflow – Mar 18
Databricks SQL in Action: Intelligent Data Warehousing, Analytics and BI Workshop – Apr 1

Each workshop blends essential concepts with guided labs in a live Databricks environment so you learn by doing, not just watching.

Zerobus Ingest: From Lakehouse to Insights Now

MandyR — Thu, 29 Jan 2026 19:41:53 GMT

Join us for a very special BrickTalks session, where we introduce Zerobus Ingest, part of Lakeflow Connect, designed to streamline your event data ingestion into the lakehouse. We will be joined by Databricks Product Manager Victoria Butka, who will explain how easy it is to eliminate a multi-hop architecture, reduce complexity and enable faster access to data insights.

Why is this session so special? Meet the PM and join us to dive deep into the product. Ask your burning questions, and see a live end-to-end demo of Zerobus Ingest in action!

We will also provide the tools and resources so you test drive Zerobus Ingest yourself. Feel free to share how you are using Zerobus Ingest to simplify your ingestion architecture - creative use cases welcome!

Happy building!

Date: Thursday, Jan 29, 2026
Time: 9:00 AM Pacific - Virtual event

View the recording on Databricks TV!

About the speaker:

Victoria Bukta is a Product Manager at Databricks on the Lakeflow Connect team, specializing in streaming, storage, and modern Data Lakehouse infrastructure. She previously served as a Senior Product Manager at Tabular and an engineering manager at Shopify, where she led teams in large-scale data CDC and Kafka ingestion as well as pioneered the organizational adoption of Apache Iceberg.

Sparklefest - The UK Public Sector Hackathon

emma_s — Tue, 16 Dec 2025 16:38:06 GMT

Note - This event is for UK & Ireland Public Service Databricks Customers only

🎄✨ Think the Christmas sparkle ends in December? Think again.
We’re bringing it *straight into January* with the **Databricks Sparklefest Hackathon** — where public service data pros meet to code, collaborate, and (yes) compete for glory.

If your New Year’s resolution is to level up your Databricks skills, network with other innovators, and have some fun along the way — we’ve got you covered. 🎉

👩‍💻 **Why join?**
- Meet brilliant peers across public service organisations.
- Tackle real-world data challenges that matter.
- Compete for the coveted title of **Sparklefest Champion** 🏆 (and some exclusive prizes!).

No matter your skill level, we’ll have guidance, good vibes, and plenty of data to keep things festive.

📍 In-person: 50 spaces at our office.
💻 Remote participation: Fully supported.
👨‍👩‍👧‍👦 Teams: 1–5 people (because collaboration beats isolation).

So pull out your data sleigh, fire up those notebooks, and keep the sparkle—and innovation—alive this January! 🌟
More details and sign up here: https://lnkd.in/eTqtyd-a

Self-Paced Learning Festival: 09 January - 30 January 2026

Jim_Anderson — Fri, 02 Jan 2026 10:50:16 GMT

🚀 Grow Your Skills and Earn Rewards! 🚀
📅 Mark your calendar: January 09 – January 30, 2026

💬 All Incentives will be distributed to the eligible participants on 06 February 2026, after the event has concluded. These incentives will be sent to the email associated with your Customer Academy account.

⚠️ Note: Please ensure every component of the course is marked as completed (including any course introduction sections) during the eligibility window to confirm your learning pathway is properly recorded and to qualify for the incentives.

Start exploring our learning pathways below!

LEARNING PATHWAY	CUSTOMER ACADEMY ENROLLMENT LINKS
LEARNING PATHWAY 1: ASSOCIATE DATA ENGINEERING
QUALIFICATION CRITERIA: Please complete all 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 DevOps Essentials for Data Engineering
LEARNING PATHWAY 2: PROFESSIONAL DATA ENGINEERING
QUALIFICATION CRITERIA: Please complete all 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
QUALIFICATION CRITERIA: Please complete both modules from the Data Analyst Learning Plan	AI/BI for Data Analysts SQL Analytics on Databricks
LEARNING PATHWAY 4: ASSOCIATE ML PRACTITIONERS
QUALIFICATION CRITERIA: Please complete all 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
QUALIFICATION CRITERIA Please complete both modules from the Machine Learning Practitioner Learning Plan	Advanced Machine Learning Operations Machine Learning at Scale
LEARNING PATHWAY 6: GENERATIVE AI ENGINEERING
QUALIFICATION CRITERIA: Please complete all 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
QUALIFICATION CRITERIA: Please complete all 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
QUALIFICATION CRITERIA: Please complete all 3 modules from the Data Warehousing Practitioner Learning Plan	Data Warehousing with Databricks SQL Programming and Procedural Logic in Databricks Data Modelling Strategies

Happy learning! 📚🎓🧑‍💻🧑‍

Join us for another BrickTalk: Vibe-Coding Databricks Apps in Replit with Augusto!

MandyR — Thu, 04 Dec 2025 23:51:21 GMT

BrickTalk: Vibe-Coding Databricks Apps in Replit

Discover how to vibe-code Databricks Apps in Replit and accelerate your development workflow. Follow along as we demonstrate techniques for going from concept to demo in record time.

Join us for a hands-on BrickTalk where Databricks Solutions Engineer Augusto Carneiro walks through a full live vibe coding demo, with plenty of time to ask questions and dig into the details that matter most!

If you want to build faster, experiment boldly, and be on the forefront of what’s next in app development, this is the BrickTalk for you!

Date: Thursday, Dec 4, 2025
Time: 9:00 AM Pacific Time
Location: Zoom

This event has ended. Watch the recording here: https://community.databricks.com/t5/databrickstv/recording-bricktalks-vibe-coding-databricks-apps-in-replit/ba-p/141197#M273

BrickTalks: Serve intelligence from your Lakehouse to your Apps with Lakebase

MandyR — Fri, 14 Nov 2025 17:52:15 GMT

Join us next Thursday with Product Manager Pranav Aurora for a another high-impact virtual session: how to bring the data intelligence from your Lakehouse to all your apps and users.

What we’ll cover:

Using Lakebase (Lakebase Postgres is a fully managed, cloud-native PostgreSQL database that brings online transaction processing (OLTP) capabilities to the Lakehouse) to serve applications with ultra-low latency requirements.
One-click sync of Lakehouse tables into Lakebase. It just works – without the operational overhead.
Sync Postgres tables back into the Lakehouse for downstream analytics.

Who should join:
Product marketers, data engineers, analytics leads or anyone ready to move from “we have good data” to “we’re using it live, at scale, in real time”.

Why you’ll leave energized:

You’ll walk away with a practical mental model of a modern data-architecture loop: Lakehouse → Lakebase → Lakehouse.
You’ll see how the combination cuts latency, simplifies infrastructure, and keeps governance strong.
Fully managed sync – no external tools, permissioning. It just works out of the box.
You’ll leave inspired to build the next-gen operational data platform (yes, you’re up to this).

Date: Thursday, November 13 2025
Time: 9:00 am PT
Recording: https://community.databricks.com/t5/databrickstv/bricktalks-serve-intelligence-from-your-lakehouse-to-your-apps/ba-p/138980

About BrickTalks

BrickTalks are monthly, expert-led sessions hosted by the Databricks Community team. Each event spotlights real-world innovation from Databricks specialists, helping you stay at the forefront of data and AI.

Don’t miss this chance to learn directly from the PM leading the charge, ask your questions live, and see what’s coming next for SQL in Databricks.

Free Edition Hackathon

trang_le — Thu, 06 Nov 2025 16:33:19 GMT

We are running a Free Edition Hackathon from November 5-14, 2025 and would love for you to participate and/or help promote it to your networks. Leverage Free Edition for a project and record a five-minute demo showcasing your work. Free Edition launched earlier this year at Data + AI Summit and we’ve already seen innovation across many of you. Submissions will be judged by Databricks co-founder, Reynold Xin, and staff.

Interested in showcasing your data and AI project with Free Edition? Submit your hackathon project from November 5-November 14, 2025 and join the hundreds of thousands of developers, students, and hobbyists who have built on Free Edition!

🚀 New: Databricks Interactive Architecture Design Workshops

Jim_Anderson — Tue, 28 Oct 2025 15:48:22 GMT

We’re excited to announce that our Interactive Architecture Design Workshops are now available worldwide!

These hands-on sessions are designed to help organisations accelerate their Databricks adoption journey through collaborative, design-thinking-based architecture discussions led by product experts.

✨ What to Expect:

Global Availability – Sessions across APJ, EMEA, and AMER-friendly time zones
Refreshed Curriculum – Built around Architecture Thinking to help translate business goals into scalable, modern Databricks solutions
Interactive Format – Work directly with Databricks experts to design architectures tailored to your needs

📅 Upcoming Sessions:

Oct 28: 9 am – 12 pm UK
Oct 30: 12 pm – 3pm SGT
Nov 4: 12 pm – 3pm SGT
Nov 6: 1 pm – 4 pm UK
Nov 11: 9 am – 12 pm UK
Nov 13: 12 pm – 3 pm SGT
Nov 18: 12 pm –3 pm SGT
Nov 20: 1 pm –4 pm UK

💡 Perfect for Data Leaders, Architects, and Engineering Managers looking to design scalable, future-ready architectures on Databricks.

👉 Register Here: Customer Academy