Posts
All the articles I've posted.
- 6 MIN READ•May 28, 2026
The Rise of Agentic Analytics: Shifting BI from Passive Dashboards to Goal-Directed Action
Agentic analytics replaces static dashboards with AI agents that pursue business goals autonomously. Learn what changed, why it matters, and what the shift requires.
Rise Of Agentic Analytics - 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 analytics accuracy.
Semantic Layer Translation Engine - 7 MIN READ•May 28, 2026
Comparing the Top 2026 Agentic Analytics Tools: ThoughtSpot, Databricks, and Tableau
How do ThoughtSpot, Databricks, and Tableau compare as agentic analytics platforms in 2026? A breakdown of semantic depth, agent capabilities, and where Dremio fits.
Top Agentic Analytics Tools 2026 - 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 in the lakehouse.
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. Here's the mathematical case for why this fails and what fixes it.
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. Learn the architecture, tradeoffs, and how Dremio enables it.
Zero Etl Federation AI Agents - 7 MIN READ•May 25, 2026
Use Hermes Agent for Free With DeepSeek V4 and Slack
Hermes Agent is a free, open-source AI agent from Nous Research. Connect it to DeepSeek V4 for zero-cost inference and Slack for anywhere access. Here is how to set it up in 10 minutes.
AI ToolsOpen SourceHermes Agent - 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 degrade performance.
Iceberg Table Maintenance AutomationIceberg CompactionSmall Files Lakehouse - 16 MIN READ•May 24, 2026
Choosing the Right Iceberg Control Plane: Polaris vs. Unity Catalog vs. Cloud REST
Choosing an Apache Iceberg catalog? Compare open-source Apache Polaris, open Unity Catalog, and managed cloud REST control planes to unify your lakehouse.
Apache Iceberg CatalogIceberg Rest CatalogApache Polaris - 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 differential privacy work.
Data Clean Rooms Privacy-Preserving AnalyticsDatabricks Clean RoomsAws Clean Rooms - 14 MIN READ•May 24, 2026
Building Composable Query Engines with Rust Runtimes
Apache DataFusion, Velox, and Substrait form the foundation of modern composable query engine stacks. Learn how these components fit together and when to use each.
Composable Query Engine DatafusionApache Datafusion RustVelox C++ Engine