Analysis of five lakehouse table formats (Iceberg, Delta Lake, Hudi, Paimon, DuckLake) in 2026: how they work, current status, and future directions.
Explains why table formats like Apache Iceberg and Delta Lake are essential for reliable data lakes, solving atomic commits, schema evolution, and time travel.
A technical deep dive comparing metadata structures of modern table formats like Apache Iceberg, Delta Lake, and Hudi for data lakes.
Explains how Apache Iceberg table writes work, including commit steps and ACID guarantees on object storage.
Explains Apache Iceberg metadata tables for querying table internals using SQL, covering snapshots, files, manifests, partitions, and practical use cases.
A practical walkthrough of working with Apache Iceberg on Dremio Cloud, covering table creation, data ingestion, optimization, and AI-powered analytics.
A comprehensive guide to learning Apache Iceberg, data lakehouse architecture, and Agentic AI with curated tutorials, tools, and resources.
A comprehensive guide to the data lakehouse architecture, its core components (Iceberg, Delta, Hudi, Paimon), and the surrounding ecosystem for modern data platforms.
Explores solutions like Apache XTable and Delta Lake Uniform for enabling interoperability between different data lakehouse table formats.
Quarterly roundup of data lakehouse trends, table formats, and major industry news from Apache Iceberg to Delta Lake.
Explores five key trends shaping the data lakehouse architecture, including storage evolution, table formats, and catalog competition.
Explores 10 reasons to adopt Apache Iceberg and Dremio for building a modern, flexible, and cost-effective data lakehouse architecture.
Explains the data lakehouse architecture and the roles of Apache Iceberg, Nessie, and Dremio in modern data management.
Table of Contents Context Introduction Short Version for Quick Readers My Journey with Table Formats and Lakehouses Ecosystem Over Features Key Takeaw
Explores modern data engineering trends in 2022, focusing on analytical data storage formats, organization, and access patterns.
A hands-on tutorial for setting up a Docker environment to experiment with the Apache Iceberg table format using Spark SQL.
