Carol McDonald
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  • 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

DoorDash Builds LLM Conversation Simulator to Test Customer Support Chatbots at Scale

DoorDash engineers built a simulation and evaluation flywheel to test large language model customer support chatbots at scale. The system generates multi-turn synthetic conversations using historical transcripts and backend mocks, evaluates outcomes with an LLM-as-judge framework, and enables rapid iteration on prompts, context, and system design before production deployment.

By Leela Kumili

Netflix Uncovers Kernel-Level Bottlenecks While Scaling Containers on Modern CPUs

Engineers at Netflix have uncovered deep performance bottlenecks in container scaling that trace not to Kubernetes or containerd alone, but into the CPU architecture and Linux kernel itself.

By Craig Risi

Presentation: Beyond the Code: Hiring for Cultural Alignment

Alicia Collymore discusses the critical role of cultural alignment in building high-performing engineering teams. She explains how to move beyond "vibes" by identifying specific attributes in company values and assessing them during coding challenges and system design sessions. She shares practical advice on using interview debriefs, assessment criteria, and "culture add" to drive growth.

By Alicia Collymore

Article: The Oil and Water Moment in AI Architecture

Have you ever tried mixing oil and water? That is the moment software architecture is entering as deterministic systems meet non deterministic AI behaviour. Architects must anchor intelligent systems in intent, governance and systems thinking. This article introduces the Architect’s V Impact Canvas, a framework for navigating this shift while keeping human trust at the centre.

By Shweta Vohra

Podcast: Information Flow: The Hidden Driver of Engineering Culture

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Adrian Peryer about Ron Westrum's organizational culture continuum, the role of information flow in shaping team culture, and how leaders can develop requisite imagination to detect weak signals.

By Adrian Peryer

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