682 tutorials · free to read

A working handbook for data and software engineering.

Hands-on tutorials by Alex Merced on Apache Iceberg, the data lakehouse, pipelines, agentic AI, and the languages and tools that hold it all together.

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Page 31 of 114
  1. 01Securing Apache Iceberg Tables with Fine-Grained Row and Column Level Access ControlApache Iceberg doesn't enforce row and column security on its own. Learn how catalog-level governance with Apache Polaris and Dremio delivers enterprise FGAC.
  2. 02Designing an Immutable Data Lakehouse: Best Practices for Iceberg Snapshot ExpirationIceberg snapshot bloat silently kills query performance. Learn the best practices for snapshot expiration, manifest cleanup, and automated table maintenance.
  3. 03Decoupling Storage and Compute in Apache Iceberg: A Deep Dive into Cost OptimizationLearn how Apache Iceberg decouples storage from compute to cut data platform costs, enable multi-engine routing, and eliminate proprietary lock-in.
  4. 04Legacy Warehouses to Open Lakehouses: A Step-by-Step Migration PlaybookMigrating from a legacy data warehouse to an open lakehouse? This step-by-step playbook covers assessment, phased migration, validation, and avoiding common pitfalls.
  5. 05Building the Brain of the Agentic Lakehouse: Designing an Open Catalog ArchitectureThe open catalog is the brain of the agentic lakehouse. Learn how Apache Polaris, Dremio's Open Catalog, and catalog-native governance enable reliable AI data access.
  6. 06Evaluating the TCO of an Open Lakehouse vs. Proprietary Data WarehousesOpen lakehouse vs proprietary warehouse: a comprehensive TCO breakdown covering storage, compute, engineering, and hidden costs to help you make the right decision.