Explains the data lakehouse architecture, a unified approach combining data lake scalability with warehouse management features like ACID transactions.
Explores reimagining Apache Kafka for the cloud, proposing a diskless, partition-free design with key-centric streams and topic hierarchies.
Explores reimagining Apache Kafka as a cloud-native event log, proposing features like partitionless design, key-centric access, and topic hierarchies.
A monthly roundup of interesting links and articles about data engineering, databases, streaming tech, and data infrastructure.
A technical guide on designing and implementing a modern data lakehouse architecture using the Apache Iceberg table format in 2025.
Explores how combining data lakehouse, virtualization, and mesh architectures with Dremio solves modern data scaling and silo challenges.
Explains why data professionals should adopt Dremio and Apache Iceberg for flexible, high-performance data lakehouse architecture.
An introduction to data lakehouses, explaining what they are, why they're used, and how to migrate to this modern data architecture.
Explains how ontologies structure data for better interoperability, integration, and analysis across domains like healthcare and finance.
A guide to building a cost-effective, high-performance, and self-service data lakehouse architecture, addressing common pitfalls and outlining key principles.
Explains the data lakehouse concept, Dremio's role as a platform, and Apache Iceberg's function as a table format for modern data architectures.
