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Apache Iceberg

A collection of 16 posts tagged with "Apache Iceberg"

Discover, Transact, Govern? Unpacking the Iceberg Catalog API Standard's True Scope.

Karthic Rao Karthic Rao Karthic Rao @hackintoshrao on Apache Iceberg |
Discover, Transact, Govern? Unpacking the Iceberg Catalog API Standard's True Scope.

In data engineering, open standards are foundational for building interoperable, evolvable, and non-proprietary systems. Apache Iceberg, an open table format, is a prime example. Along with compute, Iceberg brings structure and reliability to data lakes. When coupled with high-performance object storage like MinIO AIStor, Iceberg unlocks new avenues for creating next-generation, high-performance, cost-effective, and scalable architectures.  However, this powerful table

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Iceberg's Catalog API: The Atomic Pointer Manager Behind Your Iceberg Tables

Karthic Rao Karthic Rao Karthic Rao @hackintoshrao on Apache Iceberg |
Iceberg's Catalog API: The Atomic Pointer Manager Behind Your Iceberg Tables

Apache Iceberg has significantly reshaped how organizations manage and interact with massive structured analytical datasets inside object storage. It brings database-like reliability and powerful features such as ACID transactions, schema evolution, and time travel. Although these features are commonly emphasized, the Iceberg Catalog API is what makes these tables accessible. The Iceberg Catalog API is a centralized interface for managing

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ACID Transactions with Iceberg on AIStor

AJ AJ on Apache Iceberg |
ACID Transactions with Iceberg on AIStor

Pairing the Iceberg table format with AIStor creates a powerful, flexible and extensible lakehouse platform. The Iceberg Table Spec declares a table format that is designed to manage “a large, slow-changing collection” of files or objects stored in a distributed system.

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The Disruptive Nature of Data Lakehouses

Keith Pijanowski Keith Pijanowski on Apache Iceberg |
The Disruptive Nature of Data Lakehouses

Introduction In 1997, Clayton Christensen, in his book The Innovator’s Dilemma, identified a pattern of innovation that tracked the capabilities, cost, and adoption by market segment between an incumbent and a new entrant. He labeled this pattern “Disruptive Innovation.” Not every successful product is disruptive - even if it causes well-established businesses to lose market share or even fail

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