Tag: Data Lakehouse

All the articles with the tag "Data Lakehouse".

• 21 MIN READ•Aug 4, 2026

  Autonomous Table Optimization When Your Query Workload Stops Being Predictable

  Autonomous table optimization when query workloads stop being predictable: observing file layout and query patterns, scoring compaction work, adaptive sort order, and cost discipline.

  Apache IcebergTable OptimizationCompaction
• 21 MIN READ•Aug 4, 2026

  Reading the Apache Iceberg V4 Proposals Before They Land

  A field guide to the Apache Iceberg V4 proposals: adaptive metadata trees, single-file commits, typed statistics, column families, and what is safe to build on today.

  Apache IcebergIceberg V4Metadata
• 21 MIN READ•Aug 4, 2026

  Building an Honest TCO Model for Open Lakehouses and Proprietary Warehouses

  An honest TCO framework for open lakehouses versus proprietary warehouses: five cost categories, measured numbers, sensitivity analysis, and where each side still wins.

  TCOData LakehouseData Warehouse
• 21 MIN READ•Aug 4, 2026

  How the Iceberg REST Catalog Turned Into the Lakehouse Control Plane

  How the Iceberg REST catalog became the lakehouse control plane: multi-table atomic commits, credential vending, capability negotiation, and what still breaks.

  Apache IcebergREST CatalogApache Polaris
• 21 MIN READ•Aug 4, 2026

  A Migration Playbook for Moving Legacy Warehouses onto Apache Iceberg

  A dependency-first playbook for migrating legacy warehouses onto Apache Iceberg: snapshot vs migrate vs add_files, four-level parity validation, and federation-based cutover.

  Apache IcebergMigrationData Warehouse
• 31 MIN READ•Aug 2, 2026

  Apache Iceberg Support Across the Major Hyperscalers

  How AWS, Google Cloud, and Microsoft Azure actually support Apache Iceberg: storage, catalogs, maintenance, governance, and interoperability, layer by layer.

  Apache IcebergAWSGoogle Cloud
• 29 MIN READ•Jul 6, 2026

  Block vs. Object Storage: A Deep Dive Into the Foundation of Modern Data, and How the Lakehouse Made the Slow Option Fast

  Here is one of the strangest and most consequential plot twists in the history of data infrastructure: over the past decade, the analytics industry...

  data lakehousestoragearchitecture
• 17 MIN READ•Jul 6, 2026

  Preparing Your Data Lakehouse for the EU AI Act: Auditable Lineage and Data Provenance

  The EU AI Act changes the conversation around AI architecture because it makes trust operational. It is not enough to say that an AI system is usef...

  eu ai actcompliancedata lakehouse
• 28 MIN READ•Jul 6, 2026

  Federation and the Lakehouse: Two Roads to Unified Data Access, and How to Know Which One to Take

  Every data strategy document written this decade contains some version of the same sentence: we need a single place to access all our data. The sen...

  data federationdata lakehouseunified access
• 27 MIN READ•Jul 6, 2026

  File Encryption for the Lakehouse: The Terminology, the Machinery, and the Hard Problem of Interoperable Encrypted Tables

  For years, the open lakehouse had an honest gap that practitioners whispered about and slide decks skipped: encryption. Not the checkbox kind, ever...

  encryptiondata lakehousesecurity
• 15 MIN READ•Jul 6, 2026

  Designing Private, Air-Gapped Data Lakehouses: Scaling Iceberg in Highly Secure, On-Premises Clouds

  Some of the most important lakehouse work happens in environments that will never look like a simple public-cloud reference architecture. Defense...

  air-gappeddata lakehouseiceberg
• 24 MIN READ•May 23, 2026

  Single-Node Data Engineering: DuckDB, DataFusion, Polars, and LakeSail

  Optimize single-node data engineering with DuckDB, DataFusion, Polars, and LakeSail. Compare architectures and learn when to transition to Dremio MPP.

  DuckDBApache ArrowDataFusion