Understanding Apache Iceberg's Metadata.json
Explains the critical role and structure of the metadata.json file in Apache Iceberg, the open-source table format for data lakehouses.
Explains the critical role and structure of the metadata.json file in Apache Iceberg, the open-source table format for data lakehouses.
A developer shares their experience passing the AWS Certified Developer – Associate exam, including exam format, key topics, and study advice.
A developer's 2024 status update on vdirsyncer, covering atomic writes, security audits, and tooling improvements for calendar/contact sync.
Explains Deterministic Simulation Testing (DST) for debugging distributed systems by controlling randomness and time in a single-threaded, reproducible test environment.
A preview of top Azure VMware Solution sessions at VMware Explore 2024, covering migration, AI integration, disaster recovery, and networking.
A guide to setting up VSCode for debugging the AzureRM Terraform provider using Go and delve.
Explains how adding Unix domain socket support to vdirsyncer provides flexibility for advanced CalDav sync scenarios without bloating the core code.
The author details their journey migrating the 'Mess With DNS' educational tool from a custom, flawed DNS implementation to the more robust PowerDNS server.
Explains how to use FormattableStringFactory in C# to create dynamic SQL queries safely with Entity Framework Core, preventing SQL injection.
Part 5 of a series on building an automatic differentiation package in Julia, demonstrating its use to create and train a multi-layer perceptron on the moons dataset.
Explains the purpose and limitations of the Apache Iceberg REST Catalog specification for standardizing table operations.
Discusses strategies for improving memory safety in C++ codebases as a practical alternative to full migration to memory-safe languages.
Analyzes the latest pre-training and post-training methodologies used in state-of-the-art LLMs like Qwen 2, Apple's models, Gemma 2, and Llama 3.1.
A technical review of the latest pre-training and post-training methodologies used in state-of-the-art large language models (LLMs) like Qwen 2 and Llama 3.1.
Extends a Julia automatic differentiation library (MicroGrad.jl) to handle map, getfield, and anonymous functions, enabling gradient descent for polynomial fitting.
The article critiques excessive JavaScript use harming web performance and user experience, urging teams to prioritize users and adopt better practices.
A guide to deploying Ruby on Rails with PostgreSQL on Google Cloud Run, using a personal toolchain and the Cloud Skills Boost platform.
Explains how Apache Iceberg brings ACID transaction guarantees to data lakes, enabling reliable data operations on open storage.
Author reflects on being named a Python Software Foundation Fellow, highlighting community contributions and shared recognition with Adam Johnson.
Analyzes how JavaScript-heavy web architectures harm public service sites, causing slow performance and access barriers for users on low-end devices.