Developer Education Hub
Welcome to GrokOverflow
Tutorials, podcasts, and videos for developers — by Alex Merced, Head of Developer Relations at Dremio and author of 35+ books.
Explore the blog for guides on web development, data engineering, Apache Iceberg, agentic AI, and more. Guest submissions welcome — pitch your idea at alex@grokoverflow.com.
Must Reads — Data Lakehouses & Agentic Analytics
Authoritative guides from the Dremio blog on building intelligent, open lakehouse architectures.
The Semantic Layer: The Definitive Guide
Understand how a semantic layer unifies business logic, accelerates self-service analytics, and becomes the foundation of AI-ready data architectures.
Read on Dremio.com →Apache PolarisApache Polaris: The Catalog Standard for Lakehouses and AI
Learn how Apache Polaris is establishing a universal open catalog standard that lets any engine read and write Apache Iceberg tables without vendor lock-in.
Read on Dremio.com →Table FormatsWhat Are Table Formats and Why Were They Needed?
Trace the evolution from raw Parquet files to modern table formats like Apache Iceberg — the innovation that unlocked ACID transactions on object storage.
Read on Dremio.com →DremioWhat Is Dremio?
A comprehensive overview of Dremio's Intelligent Lakehouse Platform — how reflections, semantic layers, and multi-engine federation work together.
Read on Dremio.com →Apache IcebergWhat Apache Iceberg Native Actually Means
Cut through the marketing: discover what it truly means to be Apache Iceberg-native versus merely Iceberg-compatible, and why the distinction matters.
Read on Dremio.com →Open SourceOpen Source and the Data Lakehouse
Explore how open-source projects — Iceberg, Parquet, Arrow, and Polaris — form an interoperable stack that keeps your data free from proprietary control.
Read on Dremio.com →Agentic AIWhat Is Agentic Analytics?
Discover how AI agents autonomously query, reason over, and act on lakehouse data — fundamentally changing how organizations derive insight at scale.
Read on Dremio.com →LakehouseThe Definitive Guide to the Data Lakehouse
The canonical end-to-end guide: what a data lakehouse is, how it compares to data warehouses and data lakes, and how to architect one for your organization.
Read on Dremio.com →PerformanceHow Dremio Keeps Agentic Analytics Fast Without Manual Tuning
Learn how Dremio's autonomous optimization layer — reflections, compaction, and vectorized execution — keeps AI agent queries fast without manual DBA work.
Read on Dremio.com →Recent Articles & Tutorials
Stay up to date with my latest guides, walkthroughs, and deep dives on data lakehouses, web development, and AI.
High-Performance Columnar Transfers: Combining Apache Arrow Flight and Iceberg REST Catalogs
Modern lakehouse architecture is easier to reason about when you separate two questions. The first question is how a system discovers and governs a ta
Read Article →The Buyer's Scorecard for Agentic Analytics: Evaluating Tooling in the Enterprise AI Era
Agentic analytics demos are easy to enjoy and hard to evaluate. A user asks a question, an assistant answers, a chart appears, and the room leans forw
Read Article →Building Closed-Loop Decision Agents: Moving from Passive BI Dashboards to Active Goal-Directed Workflows
Dashboards are excellent at showing people what happened. They are less good at deciding what should happen next.
Read Article →Conversational AI on Managed Iceberg: Exposing Amazon S3 Tables through MCP
The most interesting part of conversational analytics is not the chat box. The chat box is just the surface area. The harder question is what happens
Read Article →Decoupled Catalogs vs. Managed Tables: Architectural Freedom in the Age of Table Format Convergence
Open table formats have changed buyer expectations. A few years ago, the question was whether an organization should put more analytical data into obj
Read Article →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 useful,
Read Article →