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Stay updated on Databricks Learning events, including webinars, conferences, and workshops. Discover opportunities to connect with industry experts, learn about new technologies, and network with peers.
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​Join us for an Open Lakehouse Meetup on Tuesday, March 11 from 5:00 PM - 9:00 PM PST at the Databricks’ Mountain View office! 👉RSVP to attend HERE👈 ​This meetup is designed for OSS data practitioners and developers who build production data pipelines. Immerse yourself in learning, collaborating, and community building as we explore cutting-edge topics in open source data engineering focusing on the open lakehouse paradigm. ​This event showcases the latest advancements in open lakehouse technologies, with a focus on the open lakehouse including Delta Lake, Apache Iceberg™, Apache Spark™, Rust, Apache Arrow™, and more. Learn how to build and optimize modern lakehouse architectures, deploy real-world applications, and lakehouse best practices. ​Don't miss this opportunity to accelerate your data journey and contribute to shaping the future of data and AI! 🔗🌟 RSVP to secure your spot at the event ➡️ https://lu.ma/okxq0bt1 ​AGENDA ​5:00 PM: Registration & Mingling  ​6:00 PM: Welcome Remarks by : ​Jules Damji (Developer Advocate) ​6:15 PM: Session #1 – Lessons Learned on delta.rs with Delta Lake Definitive Guide Authors featuring: ​Robert Tyler Croy (Director of Platform Engineering, Scribd) ​Scott Haines (Distinguished Software Engineer, Nike) ​Robert Pack (Staff Developer Advocate, Databricks) ​Denny Lee (Principal Developer Advocate, Databricks) ​6:45 PM: Session #2 – Incremental Iceberg Table Replication At Scale featuring: ​Szehon Ho (Senior Staff Software Engineer, Databricks) ​7:15 PM: Session #3 – Open Lakehouse Panel Discussion featuring: ​Daniel Weeks (Co-founder of Tabular and co-creator of Apache Iceberg) ​Xiao Li (Engineering Director, Databricks) ​DB Tsai (Sr. Engineering Manager, Databricks) ​7:45 PM: Closing Remarks by: ​ Denny Lee (Principal Developer Advocate) ​8:00 PM: Reception with bites and beverages ​9:00 PM: Good night ​SESSION DESCRIPTIONS ​Lessons Learned on delta.rs with Delta Lake Definitive Guide Authors: Dive into the Rust and Arrow ecosystem with Delta Lake committers and authors of Delta Lake: The Definitive Guide. Understand some of our key learnings on why, ultimately, we created delta-kernel-rs to abstract lakehouse format metadata from the underlying data. ​Incremental Iceberg Table Replication At Scale: Apache Iceberg™ is a popular table format for managing large analytical datasets. However, replicating iceberg tables at scale can be a daunting task—especially when dealing with its hierarchical metadata. In this talk, we will present an end-to-end workflow for replicating Apache Iceberg tables, leveraging Apache Spark™ to ensure that backup tables remain identical to their source counterparts, including snapshot history, schema, and partition specifications. More excitingly, we have contributed these libraries back to the open source community. ​Open Lakehouse Panel discussion: Join Apache Spark™, Apache Iceberg™, and Delta Lake committers, maintainers, and contributors on a fun panel discussion. Come with your questions and we’ll hopefully have the answers!
Databricks MTV, East Evelyn Avenue, Mountain View, CA, USA
Wednesday, March 12, 2025
​ 🔊🌟 Calling all data engineers🌟🔊 ​Join us for Databricks DevConnect on Wednesday, March 12 from 5:00pm - 9:30pm at the Databricks Mountain View 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: ​🔓 Unlock the Power of Databricks: Discover how our unified platform can power your data engineering and AI initiatives. ​🧠 Learn from Experts:  Gain actionable insights from Databricks Engineers, Product Managers, DevRel, and MVPs. ​💻 Engaging Technical Sessions: Deepen technical expertise through interactive demos of the Databricks platform, and tools. ​🤝 Network with the Community: Connect and build relationships with peers, MVPs, Databricks product managers, developer advocates, and engineers. ​AGENDA ​5:00 PM: Registration & Mingling  ​5:45 PM: Welcome Remarks by: ​Denny Lee, Principal Developer Advocate ​Holly Smith, Staff Developer Advocate ​6:00 PM: ➡️ Session #1 – Format Interoperability with Apache Iceberg™ featuring: ​Jason Reid, Director, Product Management ​Jonathan Brito, Staff Product Manager ​6:45 PM: ➡️ Session #2 – Mastering Unity Catalog: Implementing Governance and Security in the Lakehouse featuring: ​Michelle Leon, Staff Product Manager ​7:30 PM: Break ​7:45 PM: ➡️ Session #3 – End-to-End Development with Databricks Assistant: From Data Discovery to Production featuring: ​Samantha Banchik, Product Manager ​Gal Oshri, Sr. Staff Product Manager ​8:30 PM: Closing Remarks by: ​Denny Lee, Principal Developer Advocate ​Holly Smith, Staff Developer Advocate ​8:35 PM: Networking Reception with bites and beverages ​9:30 PM: Good night ​SESSION DESCRIPTIONS ​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.   ​Mastering Unity Catalog: Implementing Governance and Security in the Lakehouse: Dive into the intricacies of Unity Catalog and discover how it empowers data engineers to implement robust governance and security measures in the lakehouse environment. This session will provide an in-depth look at leveraging open standards for data management, implementing fine-grained access controls, and utilizing advanced lineage tracking capabilities. You'll learn how to establish secure collaboration workflows, manage data assets effectively, and ensure compliance with data regulations. By the end of this talk, you'll have the knowledge to architect a well-governed and secure lakehouse that fosters innovation while maintaining data integrity. ​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.
Databricks MTV, East Evelyn Avenue, Mountain View, CA, USA
🚀 Join us at the Databricks Hyderabad User Group Community Meetup hosted at EPAM Systems Hyderabad on March 22nd, 2025! 🌟 👉 Registration - Open 🔗 RSVP now to secure your spot.  >> Registration - Open. >> https://lnkd.in/g4RqKuyW  📆 Date : 22nd March 2025. | ⏰ Time: 9:00 AM IST Onwards 📍Address: EPAM Systems, Hyderabad SALARPURIA SATTVA KNOWLEDGE CITY, 10, 11 & 12th Floors, Salarpuria Sattva Knowledge City, Plot No. 2, Phase - 1, Survey No. 83/1, Raidurgam Village, Serilingampally Mandal, Hyderabad, Telangana 500081   👉 Map : https://maps.app.goo.gl/VLHdLCx3Eb2aEuBVA ❗Please bring your Govt ID cards (Aadhaar / PAN / DL) for identification❗ 👉 What you'll learn: 🕘 9:00 AM - 9:30 AM → Registrations and brief intro to Databricks Hyderabad User Group Community - Abishek Subramanian 🕤 9:30 AM - 10:00 AM → Opening Keynote & Customer Success Story 🕙 10:00 AM - 10:40 AM → Generative AI Meets Databricks: Using MosaicAI to Transform Data into Insights 🎤 Speakers: Kushal Nagrani & Satish Gunisetty. - EPAM 🕥 10:40 AM - 11:20 AM → Data Intelligence for Data Engineers on Databricks 🎤 Speaker: Vijay Pavan Nissanka Arao. - Databricks ☕ 11:20 AM - 11:35 AM → Coffee Break 🕦 11:35 AM - 12:15 PM → Mastering FinOps: Optimizing Cloud Spends with Databricks 🎤 Speakers: Narasimha Modugula & Sampath Rachakonda. - EPAM 🕛 12:15 PM - 12:55 PM → Orchestrate and Run Your dbt Job on Databricks 🎤 Speaker: Noopur Nigam  - Databricks   🎯 12:55 PM - 1:15 PM → Quiz 🍽️ 1:15 PM - 2:00 PM → Lunch 💡 Wrap it up with a quiz, lunch, and networking! 👉RSVP: Registration - Open. >> Registration - Open. >> https://lnkd.in/g4RqKuyW ❗Please bring your Govt ID cards (Aadhaar / PAN / DL) for identification❗
🚀 Join us for the return of the Virtual Learning Festival! 🚀 📅 Mark your calendars from 9 April - 30 April 2025! 💡 Upskill across data engineering, data analysis, machine learning, and generative AI. Join the thousands who have elevated their career with Databricks training & certification. 🎟️ Complete at least one of the self-paced courses learning pathways below between April 9 - April 30 to earn a 50% discount on any Databricks Certification plus a 20% discount on a Databricks Academy Labs annual subscription! NOTE All incentives will be distributed to participants to the email associated with your Databricks Academy account after the event has concluded (in early May 2025)   COURSES REQUIRED ENROLMENT LINK LEARNING PATHWAY 1 CUSTOMER ACADEMY PARTNER ACADEMY ASSOCIATE DATA ENGINEERING Please complete the following 4 modules from the Data Engineer Learning Plan: Data Ingestion with Delta Lake Deploy Workloads with Databricks Workflows Build Data Pipelines with Delta Live Tables Data Management and Governance with Unity Catalog Data Ingestion with Delta Lake Deploy Workloads with Databricks Workflows Build Data Pipelines with Delta Live Tables 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: 1. Databricks Streaming and Delta Live Tables 2. Databricks Data Privacy 3. Databricks Performance Optimization 4. Automated Deployment with Databricks Asset Bundles 1. Databricks Streaming and Delta Live Tables 2. Databricks Data Privacy 3. Databricks Performance Optimization 4. Automated Deployment with Databricks Asset Bundles LEARNING PATHWAY 3   DATA ANALYTICS Data Analysis with Databricks  Data Analysis with 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 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 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 Generative AI Solution Development Generative AI Application Development Generative AI Application Evaluation and Governance Generative AI Application Deployment and Monitoring   #DatabricksLearningFestival #Databricks #Data #AI #DataEngineering #DataAnalysis #MachineLearning #GenerativeAI #LearntoEarn #SelfPacedSkillsBuilder See you there! 📚🎓🧑‍💻🧑‍🎓
We’re excited to invite you to our MONTHLY Databricks Get Started Days, a half-day virtual learning experience designed to jumpstart your journey with Databricks. This global event is tailored to equip you with essential data engineering and analysis skills with Databricks through back-to-back, targeted sessions. Here’s what makes Get Started Days special: Practical Learning: Demo sessions tailored for beginners. Quick & Convenient: Two sessions in just half a day. Global Access: Choose a time zone that fits your schedule. 📅 Upcoming Events you can find here at  Customer academy or Partner academy  Combination of Topics Covered in one half day: Getting Started with Data Engineering + SQL Analytics and BI on Databricks (NEW) Getting Started with Data Engineering + Generative AI (NEW) Getting Started with Lakehouse Architecture + Data Warehousing (NEW) Get Started with Data Engineering + Machine Learning Location: Virtual (via Databricks Academy) Seats are limited, so don’t wait! 📅  Register to reserve your spot. (Customer registration link) (Partner registration link) New to Databricks Academy? Create a customer account or a partner account to access the event and related materials. Don’t miss this opportunity to level up your skills and explore the power of Databricks. We look forward to seeing you at Get Started Days! Warm regards, Databricks Learning & Enablement Team #GetStartedDays #GetStarted #Onboarding #DataEngineering #SQLAnalytics #AI/BI #BI See you there! 📚🎓🧑‍💻🧑‍
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Databricks and Anthropic CEOs unveil a groundbreaking partnership 📅 Date: April 22, 2025 🌍 Location: Virtual (AMER | EMEA at 8am PST | 4pm BST) April 23, 12 PM SGT (APAC) Tickets: FREE  – To Register Please Click Here  About the Event Most enterprises still struggle to build AI applications they can trust in production. The future? AI agents that deeply understand your enterprise data, deliver high-quality results tailored to your specific domain, and comply with enterprise-grade security and governance. Join Ali Ghodsi (CEO, Databricks) and Dario Amodei (CEO, Anthropic) for an exclusive announcement of a powerful new partnership that will redefine how businesses build and deploy secure, intelligent AI agents. Featured Speakers Ali Ghodsi, CEO & Co-Founder, Databricks Dario Amodei, Co-founder & CEO, Anthropic Naveen Rao, VP of AI, Databricks Jonathan Frankle, Chief AI Scientist, Databricks Amber Roberts, Staff Technical Marketing Manager, Databricks Dhanji R. Prasanna, CTO, Block What You'll Learn Why domain-specific AI agents are key to enterprise success How Databricks and Anthropic are shaping the next generation of AI Real-world examples of enterprises using AI agents for smarter outcomes Event Agenda Session 1: Introduction to AI Agents – Naveen Rao Session 2: Fireside Chat – Ali Ghodsi & Dario Amodei Session 3: Building AI Agents on Databricks + Live Demo – Amber Roberts Session 4: Improving Agent Quality – Jonathan Frankle Session 5: Customer Spotlight – Block – Dhanji R. Prasanna Don’t miss this exclusive opportunity to learn directly from the leaders shaping the future of enterprise AI.
Tuesday, April 29, 2025
​🔊🌟 Calling all data engineers🌟🔊 ​​Join us for Databricks DevConnect on Tuesday, April 29 from 5:00pm - 9:00pm CEST at the Databricks Amsterdam 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: ​​🔓 Unlock the Power of Databricks: Discover how our unified platform can power your data engineering and AI initiatives. ​​🧠 Learn from Experts:  Gain actionable insights from Databricks Engineers, Product Managers, DevRel, and MVPs. ​​💻 Engaging Technical Sessions: Deepen technical expertise through interactive demos of the Databricks platform, and tools. ​​🤝 Network with the Community: Connect and build relationships with peers, MVPs, Databricks product managers, developer advocates, and engineers. ​​AGENDA ​​5:00 PM: Registration & Mingling ​6:00 PM: Welcome Remarks by ​​Holly Smith, Staff Developer Advocate 6:15 PM ➡️ Session #1: Format Interoperability with Apache Iceberg™ by ​​Robert Pack, Staff Developer Advocate ​​6:45 PM ➡️ Session #2: End-to-End Development with Databricks Assistant: From Data Discovery to Production by ​​Holly Smith, Staff Developer Advocate 7:15 PM ➡️ Session #3: Turning the Tables on Tuning your Tables by ​Bart Samwel, Principal Software Engineer 7:55 PM: Closing Remarks by ​​Robert Pack, Staff Developer Advocate 8:00 PM: Networking Reception ​​9:00 PM: Good night   ​​SESSION DESCRIPTIONS ​​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.   ​​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. ​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 ​​Holly Smith, Staff Developer Advocate​ ​Robert Pack, Staff Developer Advocate ​Bart Samwel, Principal Software Engineer
Databricks Amsterdam, Amsterdam, Netherlands
Thursday, May 1, 2025
​🔊🌟 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: ​​🔓 Unlock the Power of Databricks: Discover how our unified platform can power your data engineering and AI initiatives. ​​🧠 Learn from Experts:  Gain actionable insights from Databricks Engineers, Product Managers, DevRel, and MVPs. ​​💻 Engaging Technical Sessions: Deepen technical expertise through interactive demos of the Databricks platform, and tools. ​​🤝 Network with the Community: Connect and build relationships with peers, MVPs, Databricks product managers, developer advocates, and engineers. ​​AGENDA ​​5:00 PM: Registration & Mingling  ​6:00 PM: Welcome Remarks by: ​​Holly Smith, Staff Developer Advocate ​​6:15 PM ➡️ Session #1: Format Interoperability with Apache Iceberg™ ​​Robert Pack, Staff Developer Advocate ​​6:45 PM ➡️ Session #2: End-to-End Development with Databricks Assistant: From Data Discovery to Production ​​Holly Smith, Staff Developer Advocate ​7:15 PM ➡️ Session #3: Turning the Tables on Tuning your Tables ​Bart Samwel, Principal Software Engineer ​​7:55 PM: Closing Remarks by: ​​Robert Pack, Staff Developer Advocate ​​8:00 PM: Networking Reception ​​8:30 PM: Good night ​​SESSION DESCRIPTIONS ​​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.   ​​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. ​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 ​​Holly Smith, Staff Developer Advocate​ ​Robert Pack, Staff Developer Advocate ​Bart Samwel, Principal Software Engineer
Databricks, Windmill Street, London, UK
We’re thrilled to invite you to an exclusive GenAI-focused Databricks User Group Meetup, hosted by Blend in collaboration with the Databricks Hyderabad User Group Community! 💡 This is your chance to dive into cutting-edge Generative AI applications, see live demos, hear from experts, and connect with the thriving data & AI community. 📅 Date: 10th May 2025 📍 Venue: 5th Floor, iSprout, My Home Twitza Plot No 30/A, Sy, 1, Hitech City Main Rd, Rai Durg, Telangana 500081 🗺️ Map: https://maps.app.goo.gl/Wq2UCN3p9YYWMoDJ7 🕘 Time: 9:00 AM onwards 🔗 RSVP Now: https://lnkd.in/ec56qb_c 🎯 Here’s the Agenda: 9:00 AM – 10:30 AM – Registrations and Networking 10:30 AM – 11:10 AM – LLMOps and MLOps in Databricks 11:10 AM – 11:15 AM – Quiz 1 11:15 AM – 11:55 AM – Agents in Databricks 11:55 AM – 12:00 PM – Quiz 2 12:00 PM – 12:15 PM – High Tea & Snacks 12:15 PM – 12:55 PM – Ask. Analyze. Visualize. The Magic of AI/BI Genie in Databricks 12:55 PM – 1:00 PM – Quiz 3 1:00 PM – 1:40 PM – Quickly Build, Deploy, and Assess a RAG Application with the Mosaic AI Agent Framework and Agent Evaluation 1:40 PM – 1:45 PM – Quiz 4 1:45 PM onwards – Lunch & Networking ⚠️ Note: Please carry a valid Govt ID (Aadhaar / PAN / DL) for venue entry. ✨ From LLMOps to RAG apps — this event is all about real-world GenAI. If you're working with data, building with AI, or simply curious about the future of ML on Databricks, this one’s for you. 💥 Seats are limited, so make sure to RSVP soon! 📣 Feel free to tag your colleagues or share this post to help spread the word!
🚀 Celebrate Data and AI Summit with us at the Virtual Learning Festival! 🚀 📅 Mark your calendars: June 11 - July 2, 2025! 🎉 In honor of our Annual Data and AI Summit, we’re offering an exciting opportunity to upskill in data engineering, data analysis, machine learning, and generative AI. Join thousands of professionals who have advanced their careers with Databricks training and certification. 🎟️ Complete at least one of the self-paced learning pathways listed below between June 11 to July 02 to earn: A 50% discount on any Databricks Certification A 20% discount on a Databricks Academy Labs annual subscription 💬 Note: Both rewards will be sent to the email linked to your Databricks Academy account after the event concludes in early July. Don’t miss out on this opportunity to level up your skills and celebrate the Data and AI Summit! Check out all the available learning pathways 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 Delta Lake Deploy Workloads with Databricks Workflows Build Data Pipelines with Delta Live Tables 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 Delta Live Tables 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 Happy learning! 📚🎓🧑‍💻🧑‍ #DataAndAISummit #Databricks #MachineLearning #DataEngineering #AI #GenerativeAI #DataAnalysis #Upskill #Certification #TechCareers #LearningFestival #DataScience #AICommunity #DatabricksAcademy #DataSkills #AITraining #LearntoEarn
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Date: June 25, 2025 Time: 9:00 AM BST / 10:00 AM CEST Location: Virtual Important: Please register for the event using the link below to receive event access details. Marking RSVP on the community page alone will not register you for the event. Register Here Most organizations today deal with complex cloud data architectures that lead to data silos. The result? Stale insights, fragmented tools, and no single source of truth. Join our live virtual workshop to see how Databricks SQL on the Data Intelligence Platform enables a multicloud lakehouse architecture that brings together the best of both data lakes and warehouses — delivering up to 12x better price/performance than traditional cloud data warehouses. What you’ll learn: How Databricks SQL fits into the Data Intelligence Platform to unify your analytics stack How to manage compute resources, user access, and data governance in a lakehouse setup How to query your data lake using Databricks SQL with built-in tools and dashboards How to boost productivity using AI for querying, code completion, and dashboard creation This hands-on workshop is led by Databricks instructors and includes live demos and interactive Q&A. Agenda: 9:00 AM – 9:05 AM Welcome and Introduction 9:05 AM – 9:30 AM Introduction to Databricks SQL 9:30 AM – 10:15 AM Databricks SQL Demo 10:15 AM – 10:30 AM Live Q&A and Conclusion Once you’ve registered, feel free to mark your RSVP on this post to let others know you’re attending. We look forward to seeing you there!