Carol McDonald
  • Female
  • Jacksonville, Florida
  • United States
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What are your main interests in software development?
Java, Web, Ajax, Java EE, Spring, Seam, JPA, Web Services
Do you have a website?
http://weblogs.java.net/blog/caroljmcdonald/
Anything else you'd like to add? Where do you live? (optional!)
Je parle Francais. Ich kann Deutsch.

Carol McDonald's Blog

movie recommendations with Spark machine learning

Posted on August 4, 2015 at 11:15am 0 Comments

Tutorial on Apache Spark, movie recommendations with machine learning 

This post discusses building a recommendation model from movie ratings using an iterative algorithm and parallel processing with Apache Spark MLlib.

https://dzone.com/links/parallel-and-iterative-processing-for-machine-lear.html

An Inside Look at the Components of a Recommendation Engine

Posted on April 13, 2015 at 9:14am 1 Comment

Recommendation engines help narrow your choices to those that best meet your particular needs.  In this post, we’re going to take a closer look at how all the different components of a recommendation engine work together. We’re going to use collaborative filtering on movie ratings data to recommend movies. The key components are a collaborative filtering algorithm in Apache Mahout to build and train a machine learning model,…

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screencast about MySQL for Developers

Posted on March 30, 2009 at 10:30am 0 Comments

Here is a screencast about MySQL for Developers



If you are a developer using MySQL, you should learn enough to take advantage of its strengths, because having an understanding of the database can help you develop better-performing applications. This session will talk about MySQL database design and SQL tuning for developers. Some topics include:



* MySQL Storage Engine Architecture

* Schema, the basic foundation of performance

* Think about performance when… Continue

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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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InfoQ Reading List

QCon London 2026: Rewriting All of Spotify's Code Base, All the Time

At QCon London 2026, Spotify's Jo Kelly-Fenton and Aleksandar Mitic discussed Honk, an AI-powered coding agent that enables code migrations across Spotify's codebase. The system improves migration, reducing timelines drastically and addressing complexities that traditional scripts could not. Key challenges included handling edge cases and standardizing the codebase to facilitate review processes.

By Daniel Curtis

HubSpot’s Sidekick: Multi-Model AI Code Review with 90% Faster Feedback and 80% Engineer Approval

HubSpot engineers introduced Sidekick, an internal AI powered code review system that analyzes pull requests using large language models and filters feedback through a secondary “judge agent.” The system reduced time to first feedback on pull requests by about 90 percent and is now used across tens of thousands of internal pull requests.

By Leela Kumili

QCon London 2026: SBOMs Move From Best Practice to Legal Obligation as CRA Enforcement Looms

In a talk at QCon London 2026, Viktor Petersson argued that software teams are running out of time to adopt SBOMs (Software Bills of Materials) due to pending legislative changes in both the US and Europe. He walked through the current regulatory landscape, spoke on the practical mechanics of generating high-quality SBOMs and on the emerging standards for distributing the resulting artefacts.

By Matt Saunders

Presentation: Mobile Server-Driven UI at Scale

Rafael Ring discusses the architectural evolution of server-driven UI at Nubank, moving from static mobile binaries to a sophisticated scripted framework called Catalyst. He explains how they implemented a tree-walk interpreter in Flutter to render dynamic layouts and logic from JSON payloads.

By Rafael Ring

Java 26 Delivers Language Innovation, Library Improvements, Performance and Security

Oracle has released version 26 of the Java programming language and virtual machine. As the first non-LTS release since JDK 25, the final feature set includes 10 JEPs, five of which are still progressing through the preview and incubator stages. This release focuses on Java library improvements, language innovation, performance and security.

By Michael Redlich

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