dataaaaa!

Modern 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.

The Apache Iceberg Europe Meetup in Copenhagen gathers data engineers to explore modern lakehouse architectures and open table formats. Co-hosted by Databricks, ECCO, and Vakamo, the technical sessions feature community presentations and discussions available via in-person access and live stream.

The Dubai ClickHouse Meetup focuses on real-time analytics at scale, gathering data professionals to explore architecture updates and operational patterns in the ClickHouse analytical database. The technical sessions cover data pipelines, high-throughput queries, and distributed analytics.

The Apache Iceberg Europe Meetup in Warsaw gathers data engineers to explore modern open table formats, cloud data architectures, and lakehouse patterns.

The Kafka User Group session covers event-driven architectures with Apache Kafka, focusing on publishing database changes to downstream services. It also explores using Kafka as the core messaging backbone for multi-service superapps, alongside Atlas Search indexes for handling near-match queries.

The Budapest Snowflake Meetup focuses on multi-modal data architectures and enterprise governance. Technical sessions cover building customer 360 models in financial services alongside scaling access control from RBAC, masking, and row access policies to Secure Data Sharing and Organizational

Le Snowflake World Tour aborde la modernisation des architectures vers des plateformes unifiées et cloud-natives. Pour l'ingénierie des données, l'événement détaille la création de pipelines intelligents, la gestion de données multimodales et gouvernées, et l'intégration de couches sémantiques pour

El evento Snowflake World Tour Ciudad de México presenta las últimas capacidades y casos de uso de la plataforma de datos Snowflake. Se enfoca en la implementación práctica de arquitecturas de inteligencia artificial y analítica avanzada para transformar datos empresariales en soluciones escalables.

The ClickHouse South Bay Meetup brings data engineers together to explore analytical database solutions and examine "how folks are using us to solve their big data challenges." Sessions include user presentations and technical discussions highlighting modern high-performance data architectures.

The Stockholm ClickHouse Meetup focuses on real-time analytics at scale. Data engineers can explore updates in the ClickHouse ecosystem, hear technical presentations from practitioners in the field, and discuss high-performance analytical architectures and patterns during interactive sessions.

The Apache Iceberg Europe Meetup convenes data engineers to explore modern open table formats, storage architectures, and lakehouse implementations. Technical presentations cover data lake management, metadata operations, and integration patterns using Iceberg within enterprise data pipelines.

This meetup focuses on distributed vector search architectures and production RAG patterns at scale. Engineers explore Milvus indexing algorithms, recall trade-offs, and design choices when scaling databases.

Build a production AI agent grounded in 107 million GitHub events using Snowflake CoCo. The architecture integrates terminal-based natural language prompts to generate SQL, load datasets, and query developer metrics.

Engineers explore scalable architectures, bridging online streaming logic with offline replay across millions of events. Discussions focus on Spark 4.0 features like Real-Time Mode and transformWithState versus Apache Flink, alongside managing high-volume AI agent workloads on modern data

Real-time data engineering patterns center on streaming architectures and change data capture. Delivery Hero routes Postgres CDC events into Kafka to feed its live ML feature store, while Zalando abstracts Kafka via Nakadi to swap topics seamlessly.

PyWorks features a hands-on data engineering track focused on building schema-driven event pipelines. Engineers will learn to process messy JSON logs into query-ready tables using Python, Pydantic, and DuckDB, alongside practical machine learning workflows for data preparation and evaluation.

Learn how to build data architectures for autonomous agents. Sessions focus on constructing a context layer to cut token costs and reduce hallucinations when querying data.

Data leaders discuss the practical realities of building agentic analytics in production. Technical topics cover semantic layer vs. context layer architectures, strategies for exposing data across diverse surfaces like Slack and BI tools, and maintaining consistent query results across those

Data engineering discussions center on evolving system designs, experimentation architectures, and data infrastructure. A key technical focus involves auditing silent data pipeline failures to isolate automated logic drift and implementing robust validation layers to ensure data integrity and

This meetup brings together data leaders to discuss scaling open-source data infrastructure, focusing on technologies like Kafka, PostgreSQL, ClickHouse, and OpenSearch. Discussions center on simplifying operational management, cloud cost optimization, and architecting modern data stacks for growth.

Data engineers explore Snowflake agentic AI tools to discover data, verify quality, and manage governance. Participants build with Snowflake CoCo, Cortex Agents for governed data and tooling, Snowflake CoWork workspaces, and Cognee integrations to implement persistent memory for enterprise agents.

The ClickHouse Singapore Meetup covers production LLM engineering, tracing, and observability. Presentations focus on storing and analyzing telemetry data using ClickHouse and Langfuse to evaluate and debug AI applications at scale, highlighting practical observability frameworks for enterprise

Big Data London hosts an evening event featuring MotherDuck, bringing together the data community to unwind and connect after conference sessions. Attendees can network with peers in analytical engineering and serverless data warehousing in an informal setting.

This session covers engineering data platforms for AI workloads at scale. ClickHouse addresses architecture patterns when automated AI agents drive primary analytical query traffic, while White Circle details transitioning past simple Postgres replication into a dedicated ClickHouse serving layer.

Data engineers face a shifting landscape where OLTP and OLAP systems collide. Key topics include using Apache Iceberg as an interoperability layer, scaling CDC pipelines to process three billion monthly updates, and rethinking application reporting architectures beyond standard query tuning.