ClickHouse

Your data lives in OneLake. But AI agents, customer-facing apps, and live dashboards need millisecond answers at a concurrency no analyst team would generate. The ClickHouse workload for Microsoft Fabric, in public preview since September 2026, adds ClickHouse as a native item in your workspace. OneLake stays your source of truth. ClickHouse delivers sub-second, high-concurrency queries on dedicated Azure compute that never touches your Fabric capacity. See it live, with Alex Francoeur and Aditya Chidurala from ClickHouse: - Create a ClickHouse item and spin up a service automatically - Sync Lakehouse tables from OneLake in a few clicks - Run aggregations over billions of rows in the embedded SQL console - Connect Power BI, or enable governed, read-only access for agents in Copilot Studio, Azure AI Foundry, GitHub Copilot, and any MCP-compatible tool - Upgrade through Azure Marketplace Who should attend: Data engineers, analytics engineers, and platform teams on Fabric who need to serve agents, apps, or dashboards from OneLake data. No ClickHouse experience needed.

Equiti Group, a global fintech leader in advanced trading technology, physical commodities, and payment software is expanding into institutional and wealth management. They built a managed store for pricing, trade, and machine learning data on ClickHouse Cloud for Azure, giving its teams faster access to historical analysis while reducing operational overhead. You’ll learn how they: - Run complex statistical and time-series analysis across historical market data - Support trading-desk analytics and application workloads on the same database - Backtest strategies across high-volume pricing and trade data - Use ClickHouse Cloud for autoscaling, backups, and managed storage to simplify operations

Jefferies is one of the world’s leading full-service investment banking and capital markets firms. Their teams run complex statistical and time-series analysis across historical data and embed ClickHouse directly into applications. You’ll learn how they: - Run complex statistical and time-series analysis across historical market data - Support trading-desk analytics and application workloads on the same database - Backtest strategies across high-volume pricing and trade data - Use ClickHouse Cloud for autoscaling, backups, and managed storage to simplify operations

If you're a quant, quant developer, market data and trading systems engineer, platform architect, data infrastructure leader, or SRE supporting trading environments at banks, hedge funds, brokerages, exchanges, and fintechs, you won't want to miss the free webinar from ClickHouse, in collaborating with Jefferies & Equiti Group.

Whether you're just getting started or going deep, ClickHouse Academy has a free learning path for you. Self-paced, expert-built, no cost.

Quelles sont les plus grandes news de l’année chez ClickHouse? On a tout dit sur DataGen au micro de Robin Conquet! Au menu : 🤖 Comment l'arrivée des agents IA impacte ClickHouse, la base de données et l’observabilité 🚀 La création d’une Agentic Data Stack avec le rachat de Langfuse, leader dans l’observabilité des agents IA 🧑💻 L'extension vers une plateforme data & IA complète (Iceberg support, CDC, streaming queries) L'entretien en intégral: youtu.be/EZ-dEA-mDGs