Technical guide on preparing data lakehouses for EU AI Act compliance, focusing on auditable lineage and data provenance.
Explains how to prepare a data lakehouse for EU AI Act compliance, focusing on data lineage and provenance.
Explores multi-engine catalog federation using Apache Polaris to sync metadata across Google Cloud, AWS, and Azure for open lakehouse governance.
Designing secure, air-gapped data lakehouses using Apache Iceberg for defense, healthcare, finance, and other high-security sectors.
Overview of Apache Iceberg v4 roadmap proposals including adaptive metadata trees, single-file commits, and convergence with Delta Lake.
Overview of modern Python tools for Apache Iceberg, including PyIceberg, IceFrame, and CLI for metadata management.
Best practices for managing Apache Iceberg snapshot expiration in data lakehouses to optimize query performance and metadata size.
Explores how Apache Iceberg decouples storage and compute for cost optimization, including multi-engine routing and TCO analysis.
Explains the 2026 unified data architecture for multi-cloud data lakehouses using open standards like Apache Iceberg.
A guide to preventing data swamps in lakehouses through active governance, metadata stewardship, schema evolution safety, and drift detection.
Comparison of Iceberg catalog control planes: Polaris, Unity Catalog, and Cloud REST for lakehouse architecture.
Overview of Apache Iceberg 1.11.0 release, covering new features like metadata encryption, pluggable file formats, and query optimizations.
Explains Apache Iceberg metadata tables for querying table internals using SQL, covering snapshots, files, manifests, partitions, and practical use cases.
Explains Apache Parquet's columnar architecture, dictionary encoding, and performance benefits for data analytics.
Explains Apache Iceberg, a table format that replaces directory-based metadata with file-level tracking for scalable analytics on cloud storage.
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 GitHub Copilot with Dremio's data platform to enable AI-assisted SQL generation, data pipeline creation, and application 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 connecting Dremio's data lakehouse platform with Claude Code, enabling the AI coding agent to query live data and build data applications.
