How to Use Dremio with Zed: Connect, Query, and Build Data Apps
A guide to integrating Dremio's data platform with the Zed code editor for enhanced data querying, pipeline generation, and application development.
A guide to integrating Dremio's data platform with the Zed code editor for enhanced data querying, pipeline generation, and application development.
A guide to integrating Dremio's data lakehouse platform with Amazon Kiro's AI IDE for data querying, app building, and pipeline generation.
A guide to connecting Dremio's data lakehouse platform with Claude Code, enabling the AI coding agent to query live data and build data applications.
A guide to integrating Dremio's data lakehouse platform with Claude CoWork, enabling natural language queries, automated reporting, and data app development.
A guide to integrating Google's Gemini CLI with Dremio's data platform for querying, building data apps, and generating SQL using AI.
A guide on integrating Dremio's data platform with the Cursor AI code editor to enable accurate SQL generation and data app development.
A guide to integrating GitHub Copilot with Dremio's data platform to enable AI-assisted SQL generation, data pipeline creation, and application development.
A guide to integrating Dremio's data platform with JetBrains AI Assistant for enhanced data querying, pipeline generation, and app development within JetBrains IDEs.
Guide on integrating Dremio data lakehouse with OpenAI Codex CLI for querying, building data apps, and generating analytics code.
A guide to integrating the Dremio lakehouse platform with the OpenCode AI coding agent for data querying and application development.
A guide to integrating Dremio's data lakehouse with the OpenWork AI agent for local, secure data querying and application development.
A guide to integrating Dremio's data platform with the Windsurf AI code editor for enhanced data querying, pipeline generation, and application development.
Introduces Dremio's built-in Open Catalog for Apache Iceberg, offering a zero-configuration, production-ready lakehouse solution with automated management.
A tutorial on using Dremio's AI_CLASSIFY SQL function to categorize data like customer sentiment and support tickets directly within a data lakehouse.
A 2025 year-in-review of key Apache data projects: Iceberg, Polaris, Parquet, and Arrow, detailing their major updates and future roadmap.
A hands-on tutorial exploring Dremio Cloud Next Gen's new free trial, covering its lakehouse platform, AI features, and SQL capabilities.
A comprehensive guide to learning Apache Iceberg, data lakehouse architecture, and Agentic AI with curated tutorials, tools, and resources.
Explores the commercial Apache Iceberg catalog ecosystem, focusing on REST Catalog standards, optimization strategies, and architectural trade-offs.
Explores two paths for building a universal lakehouse catalog that extends beyond Apache Iceberg tables to manage diverse data formats and sources.
A technical guide on using Apache Iceberg with Apache Spark and Polaris for building and managing a data lakehouse, covering setup, operations, and optimization.