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.
Agentic Lakehouse Concurrency and Isolation
Agentic writes need isolation contracts, not just write permissions.
Read Article →Anatomy of an Agentic Lakehouse
An Agentic Lakehouse is storage, catalog governance, semantic context, and agents working as one operating model.
Read Article →Apache Iceberg v4 Roadmap and Metadata Trees
The next open table format fight is not about who can store Parquet files. It is about who can plan large tables cheaply across many engines.
Read Article →Lakehouse Context Layers with Atlan and Iceberg v3
The context layer explains what lakehouse data means, which is the part table formats do not solve alone.
Read Article →Real-Time Agentic Analytics with ClickHouse
Real-time agents need analytical systems that can answer while an event still matters.
Read Article →Composable Analytics Beats Metric Catalogs
Metric catalogs tell agents what terms mean. Composable analytics tells agents how to reason with those terms safely.
Read Article →