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Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By analyzing The One Billion Row Challenge, he shares how Java frameworks can outperform Python in memory management while maintaining code readability. He discusses practical use cases for senior devs, from ad-hoc data manipulation to building scalable enterprise pipelines.
Uber transitions its in-house search indexing to OpenSearch with a pull-based ingestion framework, improving reliability, backpressure handling, and multi-region consistency for large-scale streaming data while simplifying recovery and supporting global, real-time search experiences.
In this article, the author argues that infrastructure and compute limitations can drive innovation. It demonstrates how smaller, efficient models, synthetic data generation, and disciplined engineering enable the creation of impactful LLM-based AI systems despite severe resource constraints.
In this episode, Thomas Betts chats with Madelyn Olson, a maintainer of the Valkey project and a Principal Software Development Engineer at Amazon ElastiCache and Amazon MemoryDB. The conversation covers how Valkey started as an open source fork of Redis and how the maintainers optimized the memory usage and improved throughput.
The latest release of Xcode, Xcode 26.3, extends support for coding agents, such as Anthropic's Claude Agent and OpenAI's Codex, helping developers tackle complex tasks and improve their productivity.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Presentation: Are You Missing a Data Frame? The Power of Data Frames in Java
Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By analyzing The One Billion Row Challenge, he shares how Java frameworks can outperform Python in memory management while maintaining code readability. He discusses practical use cases for senior devs, from ad-hoc data manipulation to building scalable enterprise pipelines.
By Vladimir ZakharovUber Moves In-House Search Indexing to Pull-Based Ingestion in OpenSearch
Uber transitions its in-house search indexing to OpenSearch with a pull-based ingestion framework, improving reliability, backpressure handling, and multi-region consistency for large-scale streaming data while simplifying recovery and supporting global, real-time search experiences.
By Leela KumiliArticle: Building LLMs in Resource-Constrained Environments: A Hands-On Perspective
In this article, the author argues that infrastructure and compute limitations can drive innovation. It demonstrates how smaller, efficient models, synthetic data generation, and disciplined engineering enable the creation of impactful LLM-based AI systems despite severe resource constraints.
By Olimpiu PopPodcast: [Video Podcast] Improving Valkey with Madelyn Olson
In this episode, Thomas Betts chats with Madelyn Olson, a maintainer of the Valkey project and a Principal Software Development Engineer at Amazon ElastiCache and Amazon MemoryDB. The conversation covers how Valkey started as an open source fork of Redis and how the maintainers optimized the memory usage and improved throughput.
By Madelyn OlsonXcode 26.3 Brings Integrated Agentic Coding for Anthropic Claude Agent and OpenAI Codex
The latest release of Xcode, Xcode 26.3, extends support for coding agents, such as Anthropic's Claude Agent and OpenAI's Codex, helping developers tackle complex tasks and improve their productivity.
By Sergio De Simone