Block vs. Object Storage: A Deep Dive Into the Foundation of Modern Data, and How the Lakehouse Made the Slow Option Fast
A deep dive comparing block vs. object storage, explaining how lakehouses made slower object storage fast for analytics.
A deep dive comparing block vs. object storage, explaining how lakehouses made slower object storage fast for analytics.
Explores federation vs. lakehouse architectures for unified data access, offering a decision framework and best practices.
An in-depth guide to file compression codecs, covering how data shrinks, codec differences, and practical recommendations for lakehouse architectures.
Analysis of the renaissance in columnar file formats, comparing Parquet, Lance, Vortex, Nimble, and BtrBlocks for modern data workloads.
Explains file encryption for lakehouses, covering Parquet Modular Encryption, Iceberg table encryption, and interoperability challenges.
Explains what open source foundations like Apache, Linux, and Eclipse actually do, focusing on governance differences and their impact on software projects.
Explains the fundamental divide between operational (OLTP) and analytical (OLAP) systems, the physics enforcing it, and the truth about hybrid architectures.
Explores context engineering for AI agents, comparing personal vs. shared context to prevent failures in human and organizational AI use.
Analysis of five lakehouse table formats (Iceberg, Delta Lake, Hudi, Paimon, DuckLake) in 2026: how they work, current status, and future directions.
Explores semantic layers in data platforms, their role in ensuring metric trustworthiness, and their critical importance for AI agent accuracy.
Deep dive into designing custom AI agent harnesses, covering architecture layers like loops, tools, context, and control for production systems.
How to use AI coding agents like Claude Code and Codex for deterministic data engineering, ensuring reproducibility and trust.
Historical comparison between 18th-century suppression of Diderot's Encyclopédie and modern debates over open AI models, exploring knowledge access politics.
Learn how to use ArchUnit for architecture testing in Java to enforce code structure rules and prevent architectural erosion.
A developer explores automating coding tasks using AI agents to reduce personal involvement in routine work.
Learn how to run local AI models for Copilot tasks using Ollama, Foundry, and Azure OpenAI proxies in VS Code.
GExperts now allows exporting and importing complete configuration as a ZIP archive, simplifying setup transfer across Delphi versions.
Overview of new Azure hybrid management and security updates, including Azure Arc, Kubernetes Fleet Manager, and Defender for Cloud enhancements.
Guide to setting up Microsoft Entra Agent ID for AI agent identity governance, including blueprint creation, authentication, and hardening.
Explores whether additional data always reduces posterior variance in Bayesian statistics, with beta-binomial and normal-normal examples.