#Lakehouse
11 related articles
WrenAI: An Open-Source GenBI Tool for …
·4 min
WrenAI: An Open-Source GenBI Tool for Querying Databases with Natural Language
WrenAI is an open-source GenBI tool by the Canner team that converts natural language into trusted SQL, charts, and dashboards via a semantic layer. Supports 20+ data sources including BigQuery and Snowflake. 16,000+ GitHub stars.
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Apache Ossie: The Open Metadata Exchan…
·2 min
Apache Ossie: The Open Metadata Exchange Standard Breaking Down Semantic Silos
Apache Ossie is a vendor-neutral industry specification standardizing semantic metadata exchange across analytics, BI, and AI platforms — solving inconsistent metric definitions in enterprise data stacks.
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·3 min
Building Real-Time 3D Digital Twin Wind Farms with Microsoft Fabric: AI Conversation + LIDAR Terrain + Telemetry Fusion
A wind farm digital twin built on Microsoft Fabric and Azure AI Foundry, fusing Finnish LIDAR terrain, real-time telemetry, and conversational AI for smart industrial operations.
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·5 min
5 Things You Must Do Before Deploying AI Agents to Production (With a Banking POC Case Study)
Over 60% of AI Agent projects die between demo and production. This article breaks down Databricks lead Sandy's five-pillar methodology and a bank POC case study to help you avoid the most common deployment pitfalls.
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·7 min
The Five Pillars of Production-Grade AI Agents: A Battle-Tested Guide from Demo to Deployment
Databricks tech lead Sandy shares a five-pillar framework for production-grade AI Agents—evaluation, observability, data foundation, orchestration, and governance—with a £85K retail banking failure case to bridge the demo-to-production gap.
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LTAP Architecture Deep Dive: Storing P…
·3 min
LTAP Architecture Deep Dive: Storing Postgres Data in Parquet Format on S3
A deep dive into LTAP architecture: storing Postgres data in Parquet columnar format on S3 for compute-storage separation, lower costs, and unified transactional and analytical workloads.
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·3 min
Databricks Tech Leaders: Why the Frontier AI Ecosystem Must Be Open
Databricks co-founders Matei Zaharia and Reynold Xin discuss why the frontier AI ecosystem must be open, the Agent Cloud concept, and how open vs. closed approaches will reshape the industry.
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Expert Opinions·3 min
Replit CEO Interview: AI Coding Models Are Plateauing, the SaaS Apocalypse Is Happening Now
Replit CEO Amjad Massad on AI coding models hitting a ceiling, competition shifting to product engineering, SaaS being replaced by AI Agents, the death of the IDE, and multi-model orchestration.
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Tutorials·3 min
Claude Code + Databricks Hands-On Tutorial: Natural Language-Driven Enterprise Data Analysis
A complete hands-on guide to connecting Claude Code with Databricks for natural language data queries, automated table creation, and Notebook generation.
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Product Reviews·2 min
Milvus 3.0-beta Deep Dive: Ten Core Features and the Complete Architecture Overhaul
Deep dive into Milvus 3.0-beta's ten core features: External Collection zero-copy queries, Snapshot read-write isolation, Order By aggregation, entity-level TTL, Storage V3 engine, and more.
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Tutorials·3 min
Andrew Ng's New Course: A Practical Guide to Data Governance for Enterprise AI Agents
Andrew Ng and Databricks launch an AI Agent data governance course covering least privilege principles, Unity Catalog permissions, MLflow tracing, and a complete governance lifecycle from build to deployment. Free to learn.
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