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

New Research Reassesses the Value of AGENTS.md Files for AI Coding

Despite widespread industry recommendations, a new ETH Zurich paper concludes that AGENTS.md files may often hinder AI coding agents. The researchers recommend omitting LLM-generated context files entirely and limiting human-written instructions to non-inferable details, such as highly specific tooling or custom build commands.

By Bruno Couriol

Architecting for Global Scale: Inside DoorDash’s Unified, Composable Dasher Onboarding Platform

DoorDash has rebuilt its Dasher onboarding into a unified, modular platform to support global expansion. The new architecture uses reusable step modules, a centralized status map, and workflow orchestration to ensure consistent, localized onboarding experiences. This design reduces complexity, supports market-specific variations, and enables faster rollout to new countries.

By Leela Kumili

CNCF Graduates Dragonfly, Marking Major Milestone for Cloud-Native Image Distribution

The Cloud Native Computing Foundation (CNCF) announced recently that Dragonfly, its open source image and file distribution system, has reached graduated status, the highest maturity level within the CNCF project lifecycle.

By Craig Risi

OpenAI Secures AWS Distribution for Frontier Platform in $110B Multi-Cloud Deal

OpenAI's $110B funding includes AWS as the exclusive third-party distributor for the Frontier agent platform, introducing an architectural split: Azure retains stateless API exclusivity; AWS gains stateful runtime environments via Bedrock. Deal expands the existing $38B AWS agreement by $100B and commits 2GW of Trainium capacity.

By Steef-Jan Wiggers

Presentation: So You’ve Decided To Do a Technical Migration

Sophie Koonin discusses the realities of large-scale technical migrations, using Monzo’s shift to TypeScript as a roadmap. She explains how to handle "bends in the road," from documentation and tooling to setting measurable milestones. Sophie shares vital lessons on balancing technical debt with feature work and provides a framework for deciding if a migration is truly worth the effort.

By Sophie Koonin

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