Posts - Page 39
All the articles I've posted, page 39.
- 25 MIN READ•Oct 16, 2025
Intro to Apache Iceberg with Apache Polaris and Apache Spark
Learn how to leverage Apache Iceberg with Apache Polaris and Apache Spark to build scalable and efficient data lakehouses.
Data LakehouseData EngineeringApache Iceberg - 8 MIN READ•Oct 14, 2025
The State of Apache Iceberg v4 - October 2025 Edition
What's Coming in Apache Iceberg v4: A Deep Dive into the Future of Open Table Formats
Data LakehouseData EngineeringApache Iceberg - 3 MIN READ•Sep 17, 2025
Composable Analytics with Agents - Leveraging Virtual Datasets and the Semantic Layer
How virtual datasets in Dremio's semantic layer let AI agents extend analytics models on demand through an MCP server instead of relying on static models.
Data LakehouseData EngineeringAgentic AI - 3 MIN READ•Sep 16, 2025
The Endgame – Building an Autonomous Optimization Pipeline for Apache Iceberg
Learn how to automate compaction, snapshot expiration, and layout optimization in Apache Iceberg using metadata-driven triggers and orchestration tools.
Apache IcebergAutomationCompaction - 3 MIN READ•Sep 9, 2025
Managing Large-Scale Optimizations – Parallelism, Checkpointing, and Fail Recovery
Learn how to scale Apache Iceberg table optimizations across large datasets using parallelism, checkpointing, and fail recovery to ensure reliability.
Apache IcebergOptimizationCompaction - 9 MIN READ•Sep 5, 2025
Unlocking the Power of Agentic AI with Apache Iceberg and Dremio
The three bottlenecks that stall agentic AI (data access, query speed, and semantic meaning) and how Apache Iceberg and Dremio address each one.
Data LakehouseData EngineeringAgentic AI - 4 MIN READ•Sep 2, 2025
Hidden Pitfalls – Compaction and Partition Evolution in Apache Iceberg
Partition evolution in Apache Iceberg is a powerful feature, but if not managed carefully, it can introduce fragmentation and impact compaction.
Apache IcebergPartition EvolutionTable Optimization - 4 MIN READ•Aug 26, 2025
Using Iceberg Metadata Tables to Determine When Compaction Is Needed
Discover how to use Apache Iceberg's metadata tables to proactively detect small files, bloated manifests, and table fragmentation - so you can trigger.
Apache IcebergMetadata TablesTable Optimization - 4 MIN READ•Aug 19, 2025
Designing the Ideal Cadence for Compaction and Snapshot Expiration
Learn how to design an effective schedule for compaction and snapshot expiration in Apache Iceberg to balance cost, performance, and data freshness.
Apache IcebergTable OptimizationCompaction - 4 MIN READ•Aug 12, 2025
Avoiding Metadata Bloat with Snapshot Expiration and Rewriting Manifests
Learn how to prevent and clean up metadata bloat in Apache Iceberg by expiring snapshots and rewriting manifests for better performance and manageability.
Apache IcebergMetadata OptimizationSnapshot Expiration - 4 MIN READ•Aug 5, 2025
Smarter Data Layout – Sorting and Clustering Iceberg Tables
How sorting and Z-order clustering lay out data in Apache Iceberg tables to improve file pruning and query speed, when to use each, and the rewrite costs.
Apache IcebergClusteringSorting - 3 MIN READ•Jul 29, 2025
Optimizing Compaction for Streaming Workloads in Apache Iceberg
Learn how to design fast, incremental compaction strategies in Apache Iceberg to support high-throughput streaming pipelines without disrupting freshness.
Apache IcebergData OptimizationStreaming