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: Practitioner-Led Tracks on Connectivity & Production AI Engineering

QCon London 2026 returns March 16–19 with 15 tracks for senior leads. Key sessions cover system integration via MCP, AI engineering, and debugging distributed systems. Explore modern security, Staff+ insights, and performance optimization with peer-led and practical discussions.

By Artenisa Chatziou

Solving Fragmented Mobile Analytics: Uber’s Platform-Led Approach

Uber Engineering outlines its platform-led mobile analytics redesign, standardizing event instrumentation across iOS and Android to improve cross-platform consistency, reduce engineering effort, and provide reliable insights for product and data teams.

By Leela Kumili

LangGrant Unveils LEDGE MCP Server to Enable Agentic AI on Enterprise Databases

LangGrant has launched the LEDGE MCP Server, a new enterprise platform designed to let large language models reason across complex database environments without directly accessing or exposing underlying data.

By Craig Risi

Google Introduces Conductor, a Context-Driven Development Extension for Gemini CLI

Google has released Conductor, a new preview extension for Gemini CLI that introduces a structured, context-driven approach to AI-assisted software development. The extension is designed to address a common limitation of chat-based coding tools: the loss of project context across sessions.

By Robert Krzaczyński

Microsoft Share Update on TypeScript 7

Microsoft's TypeScript 7, codenamed Project Corsa, transforms the compiler with a complete rewrite in Go, achieving up to 10x faster builds and reduced memory usage. With strict mode enabled by default, this update enhances type safety while maintaining compatibility. Developers are excited about the performance gains and improved efficiency for large codebases.

By Daniel Curtis

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