Data Lakehouses - MinIO Blog

From Data Swamps to Reliable Data Systems: How Iceberg Brought 40 Years of Database Wisdom to Data Lakes

Karthic Rao @hackintoshrao on Apache Iceberg | 25 July 2025

From Data Swamps to Reliable Data Systems: How Iceberg Brought 40 Years of Database Wisdom to Data Lakes

The data lake was once heralded as the future, an infinitely scalable reservoir for all our raw data, promising to transform it into actionable insights. This was a logical progression from databases and data warehouses, each step driven by the increasing demand for scalability. Yet, in embracing the data lake's scale and flexibility, we overlooked a critical difference.

Data Lakehouse Security: Supporting Scalable Analytics and AI Workloads

Brenna Buuck

Brenna Buuck on Security | 17 July 2025

Data Lakehouse Security: Supporting Scalable Analytics and AI Workloads

To support AI and analytics, a data lakehouse must be secure by design. This blog covers best practices for securing storage, metadata, and catalog layers including encryption, fine-grained IAM, audit logging, object locking, and multi-site replication without sacrificing performance.

From Tables to Relationships: Visualizing Iceberg Data as a Graph

Brenna Buuck

Brenna Buuck on Dremio | 27 June 2025

From Tables to Relationships: Visualizing Iceberg Data as a Graph

Relationships matter, especially in your data. Explore graph analytics without moving data using PuppyGraph, Apache Iceberg, and MinIO AIStor. Quickly set up a cloud-native graph analytics stack that uncovers hidden patterns directly from your data lakehouse.

Inertia Is the Problem: Why Waiting to Modernize Costs More Than Migrating

Brenna Buuck

Brenna Buuck on Data Lakehouses | 11 June 2025

Inertia Is the Problem: Why Waiting to Modernize Costs More Than Migrating

Legacy systems drain budgets, slow innovation, and block AI progress. This article shows how phased modernization cuts costs, boosts performance, and builds a future-ready data foundation without disruption. Inaction is the real risk.

Building a High-Performance, On-Prem Data Pipeline with Materialize and MinIO AIStor

Brenna Buuck

Brenna Buuck on Data Lakehouses | 21 March 2025

Building a High-Performance, On-Prem Data Pipeline with Materialize and MinIO AIStor

Want real-time analytics and blazing-fast performance? Learn how to build a high-speed, on-prem pipeline with Materialize and MinIO AIStor—faster than S3, high thoughput, and built for AI. Includes a full tutorial to get you up and running locally.

Why an Open Lakehouse Approach Matters: Lessons from dbt’s Acquisition of SDF Labs

Brenna Buuck

Brenna Buuck on Data Lakehouses | 30 January 2025

Why an Open Lakehouse Approach Matters: Lessons from dbt’s Acquisition of SDF Labs

dbt’s acquisition of SDF Labs reinforces a powerful trend: the modern data stack is open. Learn why this matters for performance, interoperability, and future-proofing your data strategy.

The Definitive Guide to Lakehouse Architecture with Iceberg and AIStor

Brenna Buuck

Brenna Buuck on Apache Iceberg | 17 January 2025

The Definitive Guide to Lakehouse Architecture with Iceberg and AIStor

Discover the power of Apache Iceberg and AIStor in transforming data lakehouses! From multi-engine compatibility to time travel, schema evolution, and blazing-fast performance, this guide dives deep into how Iceberg unlocks the full potential of modern AI and analytics workloads.

How an Educational Services Organization Modernized Its Infrastructure with MinIO

Brenna Buuck

Brenna Buuck on Object Storage | 14 November 2024

How an Educational Services Organization Modernized Its Infrastructure with MinIO

An educational services leader transformed its IT with MinIO, achieving 40% faster performance and 30% lower costs. Powered by Kubernetes, MinIO supports AI, ML, and scalable data lakes with active-active replication. Discover how they modernized for innovation and resilience.

Architect’s Guide to Migrating from Hadoop to a Data Lakehouse

Brenna Buuck

Brenna Buuck on Data Lakehouses | 15 October 2024

Architect’s Guide to Migrating from Hadoop to a Data Lakehouse

Unlock real-time analytics, scalability, and future-proof your data with a lakehouse. Hadoop can't keep up with AI, but a lakehouse blends the best of data lakes and warehouses. Get actionable tips to smoothly phase your migration with minimal disruption.

Hiring for AI Success: Why Your First Hire Should Be a Data Engineer

Brenna Buuck

Brenna Buuck on AI/ML | 4 October 2024

Hiring for AI Success: Why Your First Hire Should Be a Data Engineer

To ensure AI success, start by hiring a data engineer, not an AI/ML expert. Learn from our experience and find out why a strong data foundation—focused on object storage, data lakehouses, and optimized pipelines—is critical for scalable, efficient AI/ML workloads.