Data events calendar

Agenda

1. Show 26 past events this month

2. Saturday, November 7, 2026 · today

   • 🇬🇧 10:00 AM·London, United KingdomIn personHouse London #3 | Data HackathonHouse London is a focused data sprint bringing practitioners together to process and analyze urban planning and housing datasets. Participants engineer data pipelines to transform raw housing data into actionable policy briefs, dashboards, and analytical models addressing real infrastructureluma.com

3. Monday, November 9, 2026

   • 2:30 PM GMT+1OnlineAnswers you can question: Building a verifiable AI analytics agentConnecting an analytics agent directly to a data warehouse often fails, requiring dedicated context layers between the model and the underlying data. Maintaining verifiable answers relies on keeping these context layers fresh as business logic evolves and keeping human oversight in the loop.luma.com
   • 🇩🇪 5:00 PM·Garching bei München, GermanyIn personOpen Source and Data & AI Meetup - MunichOpen Source After Work at SAP Labs focuses on open data, AI, and modern data architectures. Topics cover open-source data engineering tools, including Confluent Tableflow, Apache Iceberg, and Nessie, alongside real-world cloud platform implementations using Dremio and STACKIT to optimize demandluma.com
   • 🇩🇰 5:00 PM·København, DenmarkIn personVeo Football Analytics SprintThe event focuses on turning complex tracking data into practical football insight. Participants build analytical workflows, custom metrics, and visualisations during a hands-on hackathon using real player and ball tracking datasets, event streams, and match video provided by Veo.luma.com
   • 🇺🇸 4:00 PM·New York, United StatesIn personOpen Lakehouse and AI Meetup: New YorkTechnical sessions cover Apache Iceberg and open lakehouse patterns. Alex Merced discusses the lakehouse ecosystem, while PuppyGraph demonstrates querying Iceberg tables directly as an ontology graph without ETL, data migration, or duplicate copies to empower AI agents on enterprise data.luma.comIceberg
   • 🇺🇸 6:00 PM·Chicago, United StatesIn personThe Future of AI in Customer Analytics: ChicagoModern analytics workflows integrate AI to eliminate the traditional SQL queue and accelerate customer data pipelines. Engineering teams are leveraging plain language querying to surface behavioral patterns, optimize customer segmentation, and bridge the gap between raw data and automated decisions.luma.com

4. Tuesday, November 10, 2026

   • OnlineWhat's shipping in dbtThis session covers the latest quarterly updates across dbt, detailing new features and workflow changes that impact how data engineers build transformation pipelines. Attendees will explore architectural improvements, practical modeling adjustments, and the future roadmap for the tooling.getdbt.comdbt
   • 🇧🇮 5:00 PM·Bubanza, BurundiIn personData Science Project ManagementLearn practical strategies to build reproducible machine learning workflows, manage experiments, and avoid common pitfalls throughout the project lifecycle. Key areas include data pipeline execution, exploratory data analysis, systematic model evaluation, and team collaboration patterns.luma.com
   • 5:00 PM GMT+1OnlineProduction AI Agents for Generative Media: Pre-Course Live Q&ALearn to build, deploy, evaluate, optimize, and monitor a production AI architecture where agents orchestrate GPU-powered generative models. The curriculum focuses on serverless AI infrastructure and pipeline orchestration for production workloads.luma.com
   • 9:00 AM PSTOnlineDuckDB 2.0: How to Speed Up Your WorkloadsDuckDB 2.0 introduces major performance upgrades without query changes. Asynchronous I/O accelerates object storage reads, dropping S3 Parquet read latency significantly. The release optimizes recursive CTE execution, introduces a VARIANT type over text JSON, and adds disk-spilling file caches.luma.comDuckDB
   • 🇺🇸 9:00 AM·Oakland, United StatesIn personSan Francisco dbt MeetupThe San Francisco dbt Meetup gathers data professionals to discuss analytics engineering, modern data stacks, data modeling, testing, and DataOps. The session features lightning talks, including a presentation by Dave Fowler and RJ Andrews on dbt charts, highlighting software engineering bestmeetup.comdbt
   • 🇺🇸 5:00 PM·Oakland, United StatesIn persondbt Meetup: Featuring dbt Charts / Jev ModelsThe dbt community gathering highlights technical presentations on dbt Charts and implementing Jev models in dbt. Sessions focus on analytics engineering workflows, data modeling patterns, and integrating visualization layers directly into the dbt transformation ecosystem.luma.comdbt
   • 🇺🇸 5:30 PM·San Francisco, United StatesIn personSan Francisco Apache DataFusion MeetupThe Apache DataFusion meetup highlights query engine performance and integration into modern data infrastructure. Technical talks cover reading Apache Parquet efficiently, implementing OpenLineage metadata tracking, building serverless log engines, and managing AI search and compaction workflows.luma.com

5. Wednesday, November 11, 2026

   • 4:00 PM GMTOnlineInside the Runtime: How Orchestra Users Are Deploying AgentsThis session examines how data teams deploy AI agents into production using the orchestration platform Orchestra. Engineers and analysts will share technical architecture patterns from real-world stacks, covering design choices, operational hurdles, and the practical impact on data workflows.luma.com

6. Thursday, November 12, 2026

   • 🇯🇵 4:00 AM·Tokyo, JapanIn personTokyo dbt Meetup #22Tokyo dbt Meetup explores the evolution of data engineering in the generative AI era. Sessions highlight shifting developer workflows, analytics engineering patterns, automated testing, and retail media platform architectures using dbt for modern SQL modeling and pipelines.meetup.comdbt
   • OnlineWhat do Jev and other decision models mean for the data ecosystem?Decision models like Jev prioritize fast answers paired with calibrated probabilities rather than generating text. Data engineers can integrate these models into data analytics pipelines using the dbt-decisions package, linking AI decision outputs directly with a semantic layer inside dbt workflows.getdbt.comdbt
   • 🇩🇰 8:30 AM·København, DenmarkIn personData & AI breakfastA breakfast panel for data professionals in Copenhagen explores real-world data and AI initiatives, focusing on what data teams are shipping, operational bottlenecks, and evolving engineering workflows. Analytics and BI leaders discuss emerging technical practices and everyday pipeline challenges.luma.com
   • 🇺🇾 1:00 PM·Montevideo, UruguayIn person4to Congreso en Gestión de Datos - DAMA UruguayEl evento aborda la arquitectura y gobierno de datos, calidad, linaje, catálogos de metadatos, seguridad e integración analítica. Presenta casos reales sobre la gestión de datos orientada a inteligencia artificial, destacando la trazabilidad técnica y la madurez en plataformas de datos.luma.com
   • 9:30 AM PSTOnlineAligned on Decisions: How Our Product Lead Builds with Data Agents in MotherDuckMotherDuck uses data agents to automate analytics and data pipelines. Scheduled agents ingest unstructured data from Slack, support tickets, and Linear to generate business reviews, while functions like prompt_jev() categorize call notes into themes and analyze compute usage patterns.luma.comMotherDuck
   • 6:00 PMIn personData Happy Hour at the Lightdash LoftA gathering for data and analytics engineers features discussions around data pipelines, data quality, and open-source tooling. Hosted by Orchestra and Lightdash, an open-source AI-native analytics platform, the technical meetup brings practitioners together to discuss maintaining clean data.luma.com
   • 🇺🇸 6:00 PM·Washington, United StatesIn personData Engineers D.C. Presents: DuckDB 2.0The Data Engineers DC meetup features a technical session focused on DuckDB 2.0. The event gathers data practitioners to explore the analytical database engine, discussing its architecture, in-process processing capabilities, and evolving feature set for modern analytical workflows.luma.com
   • 🇺🇸 5:00 PM·Chicago, United StatesIn personLakehouse, Lagers & Legends [Chicago]: Lakeflow Pipelines + Meet & GreetThe Chicago meetup features a technical session on building reliable data pipelines with Lakeflow Pipelines in Databricks. Lead Data Engineer Matthew Kurtz shares practical insights on data ingestion, pipeline reliability, and complex transformations for modern data engineering platforms.luma.comDatabricks
   • 🇺🇸 6:00 PM·New York, United StatesIn personStacked: Dinner on the Agentic Data StackData platforms must evolve to handle agent-scale traffic characterized by high query volume, frequency, and zero latency tolerance. Architecture discussions focus on supporting automated AI queries rather than human workloads, leveraging ClickHouse to eliminate lag and prevent confident incorrectluma.com
   • 🇺🇸 5:30 PM·Cottonwood Heights, United StatesIn personAnalytics Field Notes: AI stories from the front linesThe practitioner meetup covers AI enablement in digital analytics, emphasizing context networks, agentic workflows, governance, and security. Sessions feature real-world implementations, such as analytical workflows, data instrumentation, A/B testing infrastructure, and automated analyticsluma.com

7. Friday, November 13, 2026

   • 🇹🇼 3:00 AM·Taipei, TaiwanIn personTaipei dbt Meetup #50 Sports AnalyticsTaipei dbt Meetup brings data practitioners together to explore analytics engineering, modern data stacks, DataOps, modeling, and automated testing. The session highlights using dbt for modular SQL data transformation, version control, and documentation to build maintainable, reliable datameetup.comdbt

8. Saturday, November 14, 2026

   • 🇮🇳 9:30 AM·Chennai, IndiaIn personCDC50 - CONFLUENCEChennai Data Circle is hosting CDC50 - CONFLUENCE, a community gathering for data and AI practitioners. The technical program features live speaker demo sessions and a roundtable discussion evaluating core data engineering fundamentals against an AI-first approach for modern architectures.luma.com
   • 🇮🇳 12:00 PM·Chennai, IndiaIn personLakehouse, Lagers & Legends [Chennai]: Postgres Meets the Lakehouse: Unifying Apps, Analytics and AI with LakebaseDatabricks Lakebase integrates PostgreSQL into the lakehouse ecosystem to bridge operational databases with analytics and AI workloads. This architecture eliminates data silos, minimizes pipeline complexity, and provides unified, secure data access across modern data engineering environments.luma.comDatabricks
   • 🇫🇷 10:00 AM·Paris, FranceIn personHackathon Open Data 🏛️Ce hackathon invite les developpeurs a concevoir des outils d'IA et de civic tech en exploitant l'open data francaise. Les equipes manipulent des millions d'enregistrements publics issus de l'Assemblee nationale, du Senat, de la HATVP et de DataGouv pour alimenter des modeles predictifs etluma.com

9. Monday, November 16, 2026

   • 🇫🇷 Paris, FranceIn personForward Data Conference 2026Modern data platforms must serve both people and machines, requiring architectures that ensure data is trustworthy, consumable, and cost-effective. Engineering focus has shifted to agentic systems, context, orchestration, and declarative pipelines to support production AI applications.forward-data-conference.com
   • 5:00 PM GMT+1OnlineProduction AI Agents for Generative Media: Course LaunchA new course covers building production systems where AI agents orchestrate GPU-powered media models on Nebius Serverless AI. Data engineers will learn to deploy, evaluate, and monitor workloads, moving "from script to container to GPU job" while evaluating serverless jobs versus endpoints.luma.com
   • 🇧🇪 6:00 PM·Leuven, BelgiumIn personBelgium dbt Meetup #15The meetup covers integrating agentic spec-driven development into dbt workflows to improve data modeling and issue tracing. Another session highlights an architecture using Snowflake, dbt, and Power BI to ingest raw operational data and AI traces, using dbt to transform and test trusted models.meetup.comSnowflakedbt

10. Tuesday, November 17, 2026

    • 10:00 AM PSTOnlineEveryone gets a data agent: What's coming in MotherDuck from our CEOMotherDuck outlines an architecture for agentic analytics where AI data agents query fast, reliable data foundations directly. The platform optimizes query performance and cost for automated workloads, reducing analyst queue bottlenecks while maintaining secure, real-time access to production data.luma.comMotherDuck
    • 🇧🇷 7:00 PM·São Paulo, BrazilIn person5º Community dbt meetup de São PauloO meetup de dbt em Sao Paulo foca em engenharia de analytics e transformacao de dados com SQL. A programacao técnica inclui modelagem do mercado segurador a partir de arquivos CSV, atualizacoes do Summit e discussoes sobre o impacto da IA nas stacks modernas de dados, testes e DataOps.meetup.comdbt

11. Wednesday, November 18, 2026

    • 🇸🇪 8:00 AM·Stockholm, SwedenIn personOpen Data ForumThe Open Data Forum demonstrates a production reference architecture integrating real-time Kafka streaming, Airflow DAG orchestration, and PostgreSQL vector search. Engineers examine zero-trust infrastructure to address pipeline latency, scale, and schema control from raw ingestion to enterprise AI.luma.comAirflowKafka
    • 🇵🇱 5:30 PM·Warszawa, PolandIn personConnect@Lingaro - Databricks meetupThis Databricks meetup covers multi-agent architectures using Genie One and Unity Catalog. Sessions focus on establishing semantic context layers via Metric Views and dbt query history, enforcing governance guardrails over agent data access, and deriving automated lineage across pipelines.luma.comDatabricks
    • 🇨🇦 5:00 PM·Toronto, CanadaIn personToronto Data Engineering Meetup with ClickHouseThe Toronto ClickHouse Meetup features technical discussions on ClickHouse, a column-oriented DBMS built for fast OLAP workloads capable of processing billions of rows per second. Sessions highlight real-world analytical database applications, observability, and AI integration with Rootly AI.luma.comClickHouse
    • 🇺🇸 6:30 PM·Brooklyn, United StatesIn personData Salon: Context and DataData engineering teams are evolving into semantic stewards, providing consistent context and governed business definitions across the analytics stack. By bridging structured data with subject-matter expertise, teams ensure downstream AI agents and self-service analytics generate reliable,luma.comOmni

12. Thursday, November 19, 2026

    • 🇳🇱 8:00 AM·Amsterdam, NetherlandsIn personThe European Chief Data & Analytics Officer Conference 2026The European Chief Data & Analytics Officer Conference focuses on moving from passive data management to active agentic architectures. Data engineering discussions center on building codified knowledge frameworks, balancing governance with autonomy, and using knowledge graphs to ground AI agents atluma.com
    • 🇳🇱 5:00 PM·Amsterdam, NetherlandsIn personApache Iceberg™ Europe Community Meetup - AmsterdamTechnical talks examine Apache Iceberg architectures, including V4 metadata restructuring for streaming and portability. Engineers detail migrating from AWS Glue to Snowflake Horizon via REST catalogs, governing AI data with Lakekeeper, and running multi-engine lakehouses across DuckDB, Spark, andluma.comIcebergSnowflake
    • 🇺🇸 5:00 PM·Seattle, United StatesIn personClickHouse Meetup- Seattle : Real-Time Analytics in ProductionThis meetup convenes practitioners using ClickHouse for real-time observability, analytics, and production-scale workloads. Sessions focus on architectural best practices and scaling strategies from engineers at Common Room, Fiveonefour, and Outreach pushing the boundaries of real-time data.luma.comClickHouse

13. Monday, November 23, 2026

    • 🇮🇳 8:00 AM·Bengaluru, IndiaIn personIndiaAnalytics & AIConference 2026Industry and academic leaders will convene in Bangalore to examine the transformative impact of data and artificial intelligence technologies. The conference highlights practical advancements in AI systems and evolving data architectures shaping technical education, modern skills, and engineeringluma.com

14. Wednesday, November 25, 2026

    • 🇸🇬 6:00 PM·Singapore, SingaporeIn personVIP Salon: Web Data at Scale with Bright DataEngineering leaders discuss treating the open web as a reliable production data layer for live AI agents. Key technical topics include reference architectures for transforming raw web streams into agent-ready inputs, plus scalable pipelines for ingesting, structuring, and refreshing public dataluma.com
    • 🇮🇱 6:00 PM·Ramat Gan, IsraelIn personData & AI Under the Hood: Real-Time, ML Pipelines & AgentsTo optimize a real-time pipeline processing 13K events/sec, engineers redesigned state ownership and brought context closer to the stream, slashing infrastructure costs by 92%.luma.com
    • 🇩🇪 6:00 PM·Berlin, GermanyIn personAgentic Analytics Builders' Night: Designing data products in the age of AIData teams are moving beyond static dashboards toward full data products using iterative prototyping and clear metrics. Attendees engage in a hands-on session using sample data to build a data app with Lightdash, followed by architecture demos and technical learnings from industry data leaders.luma.com
    • 🇬🇧 6:00 PM·London, United KingdomIn personData London x TrustpilotData London focuses on modern data platforms, analytics engineering, and AI adoption. Trustpilot details architectural guardrails for scaling self-service operations using dbt, highlighting freedom to build, guardrails to keep it from falling over.luma.comdbt

15. Thursday, November 26, 2026

    • 🇪🇸 6:00 PM·Barcelona, SpainIn personThe Analytics Hot Seat: Let's Agree to DisagreeProduct Analytics Talks convenes data and AI practitioners to discuss analytical decision-making, experimentation, and AI agents. Alex Litvinov provides a hands-on engineering perspective on building data and AI solutions, addressing the technical realities behind implementation and scaling.luma.com
    • 🇬🇧 7:00 PM·London, United KingdomIn personFireside: AI with Prod Data - Hype vs RealityDeploying AI models onto production data platforms requires moving beyond prototypes to manage runtime failures, testing, and continuous quality evaluation. Data engineers must navigate infrastructure costs, operational trade-offs, and monitoring to maintain production-grade pipelines.luma.com

16. Saturday, November 28, 2026

    • 9:30 AMIn personFuture of Data - BangaloreThe Future of Data Bangalore meetup brings together engineers building modern platforms to discuss open lakehouse architectures and AI systems. Sessions focus on production lessons with Apache Iceberg, high-volume CDC data ingestion, schema evolution, and low-latency query engines.luma.comIceberg