The Puzzmo team shares their 2024 tech stack, including React Native, TypeScript, and Expo, and discusses challenges with cross-platform development.
An introduction to Decentralised Physical Infrastructure Networks (DePIN), a token-incentivized model for crowdsourcing physical resources like data, storage, and compute.
Explores the differences between event and entity data modeling, when to use each approach, and practical design considerations for structuring data effectively.
Monthly roundup of news and developments in data streaming, stream processing, and the data ecosystem, featuring Apache Flink, Kafka, and open-source tools.
The author reflects on coining the term 'Central Bank Digital Currency' and critiques a controversial hypothetical use case involving 'digital meat rations'.
The Big Book of R adds 10 new books, including Spanish titles and English works on data science, statistics, and fantasy football analytics using R.
A candidate's nomination statement and platform for the 2025 Django Software Foundation board election, outlining community-focused initiatives.
A curated list of key Microsoft Ignite 2024 sessions for developers in Australia and New Zealand, focusing on AI, DevOps, cloud, and development tools.
The author details their journey to reduce memory usage in their 'Mess With DNS' service by optimizing how IP address lookup data is stored.
A technical guide on comparing spatial patterns in continuous raster data using R, focusing on methods for arbitrary regions.
A critique of JavaScript-first web development and its negative impact on mobile performance, arguing for a strategic platform approach favoring the web's core strengths.
Learn how to view and update user/group roles in Azure SQL Database using Azure Data Studio's preview features.
Explores how .NET library authors can use source generators and generic programming to avoid complex runtime reflection, especially for Native AOT support.
AWS Lambda's new code editor features an improved Amazon Q Developer AI assistant for generating and debugging Lambda functions with better in-line code previews.
Analysis of skepticism towards rewriting JavaScript tools in faster languages, focusing on maintainability and accessibility.
An introduction to Apache Parquet, a columnar storage file format for efficient data processing and analytics.
Explains Parquet's columnar storage model, detailing its efficiency for big data analytics through faster queries, better compression, and optimized aggregation.
Explains the hierarchical structure of Parquet files, detailing how pages, row groups, and columns optimize storage and query performance.
Explores why Parquet is the ideal columnar file format for optimizing storage and query performance in modern data lake and lakehouse architectures.
Final guide in a series covering performance tuning and best practices for optimizing Apache Parquet files in big data workflows.
