Posts - Page 28
All the articles I've posted, page 28.
- 6 MIN READ•May 28, 2026
The Semantic Layer as a Translation Engine: Bridging Natural Language and SQL
The semantic layer translates business language into accurate SQL for AI agents. Learn how virtual datasets, metric definitions, and wikis power agentic.
Semantic Layer Translation Engine - 7 MIN READ•May 28, 2026
Trustworthy AI in the Agentic Lakehouse: Reconciling Concurrency and Isolation Contracts
Hundreds of AI agents querying simultaneously create concurrency and isolation problems. Learn how Iceberg OCC, Dremio FGAC, and guardrail policies ensure.
Trustworthy AI Concurrency Isolation - 8 MIN READ•May 28, 2026
The 2026 Unified Data Architecture: Reconciling Multi-Cloud Data Lakehouses
Multi-cloud data lakehouses in 2026 run on Apache Iceberg, open catalogs, and zero-ETL federation. Here's what a composable, unified architecture looks like.
Unified Data Architecture 2026 - 6 MIN READ•May 28, 2026
Why Traditional Lakehouses Fail AI Agents: The Mathematical Case for the Agentic Lakehouse
Traditional lakehouses expose raw directories and ambiguous schemas to AI agents, causing hallucination.
Why Lakehouses Fail AI Agents - 7 MIN READ•May 28, 2026
The Era of Zero-ETL Federation: Fueling AI Agents with Real-Time Cross-Enterprise Data
Zero-ETL federation lets AI agents join real-time CRM data with historical lakehouse tables instantly.
Zero Etl Federation AI Agents - 13 MIN READ•May 24, 2026
Automating Table Maintenance Before Small Files Accumulate
Learn how Databricks Predictive Optimization, AWS S3 Tables, and Iceberg native actions automate compaction and snapshot management before small files.
Iceberg Table Maintenance AutomationIceberg CompactionSmall Files Lakehouse - 13 MIN READ•May 24, 2026
Clean Rooms for Privacy-Preserving Analytics
Data clean rooms enable secure multi-party analytics without sharing raw data. Learn how Databricks Clean Rooms, AWS Clean Rooms, and BigQuery.
Data Clean Rooms Privacy-Preserving AnalyticsDatabricks Clean RoomsAws Clean Rooms - 14 MIN READ•May 24, 2026
Building Composable Query Engines with Rust Runtimes
How Apache DataFusion, Velox, and Substrait form a composable query engine stack, how DataFusion and Velox compare, and a framework for choosing an engine.
Composable Query Engine DatafusionApache Datafusion RustVelox C++ Engine - 11 MIN READ•May 24, 2026
Data Mesh After the Hype: What Actually Works
Three years after Zhamak Dehghani's original papers, data mesh has proven valuable in specific organizational contexts and impractical in others.
Data Mesh Practical ImplementationData Mesh Reality CheckData Product Thinking - 12 MIN READ•May 24, 2026
How dbt Fusion Reshapes Analytics Engineering
dbt Fusion entered public beta in May 2025 with a Rust-powered runtime that changes how analytics engineers develop, validate, and deploy SQL models.
Dbt Fusion Analytics EngineeringDbt Fusion RustDbt State-Aware Orchestration - 13 MIN READ•May 24, 2026
Using DuckDB and Polars to Query Iceberg Tables
DuckDB 1.4 LTS and Polars streaming engine now both support reading and writing Apache Iceberg tables. Learn how to use them for lakehouse analytics in 2025.
Duckdb Polars IcebergDuckdb Iceberg WritePolars Iceberg Sink - 12 MIN READ•May 24, 2026
FinOps for Data Warehouses with Open Billing Data
Build a FinOps pipeline for data warehouses with FOCUS 1.3 billing data: cost attribution and tagging, chargeback vs. showback, commitments, and budget alerts.
Warehouse Finops Focus SpecificationSnowflake Cost ManagementBigquery Jobs View