Explores the mathematical approximation of e ≈ 2721/1001, highlighting its accuracy relative to denominator size.
A curated list of tech links covering Azure, AI, .NET, web development, and software engineering news for July 6, 2026.
Martin Fowler shares fragments from the second Future of Software Development Retreat, focusing on agentic development and its impact on software engineering.
Microsoft ships Inspektor Gadget as an AKS extension, using eBPF for kernel-level Kubernetes observability without app modifications.
An analysis comparing JSON and XML as data-interchange formats, arguing XML is superior despite JSON's popularity.
Analysis of Safari's slow release cycle and web standards compliance compared to Firefox and Chromium.
Explores moving from passive BI dashboards to closed-loop decision agents that observe, reason, validate, and act on data within a lakehouse architecture.
Explores combining Apache Iceberg REST Catalogs and Arrow Flight for high-performance columnar data transfers in lakehouse architectures.
Explores concurrency challenges in agentic lakehouses with Iceberg, balancing academic proofs and high-frequency production writes.
Analysis of Apache Iceberg v4's development status in July 2026 based on the dev mailing list, covering ratified specs, debates, and practical advice.
A comprehensive guide to streaming data into Apache Iceberg tables in 2026, covering latency, tools, and architectures for sub-second freshness.
Analysis of agentic AI standards in 2026, including MCP, A2A, WebMCP, OSI, and the emerging protocol stack for agents.
A comprehensive look at Apache Arrow's impact ten years in, covering its origins, technical details, adoption, and future in AI workloads.
An in-depth analysis of Apache Parquet in 2026, covering new features, versioning debates, and its evolving role in the lakehouse and AI eras.
Analysis of Apache Polaris in July 2026, covering its graduation, release updates, federation, governance, and adoption as an open lakehouse catalog.
Explores an architecture pattern combining Amazon S3 Tables and MCP for governed conversational AI access to Iceberg data.
Explores the trade-offs between decoupled catalogs and managed tables in open table formats like Apache Iceberg, focusing on architectural freedom and operational simplicity.
Explains designing idempotent pipelines in agentic lakehouses to prevent double-write anomalies using Iceberg and workflow safeguards.
Designing secure, air-gapped data lakehouses using Apache Iceberg for defense, healthcare, finance, and other high-security sectors.
Explores fine-grained security for AI agents in analytics, covering dynamic access control, identity propagation, and governance at machine speed.
