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

PyPI Supply Chain Attack Compromises LiteLLM, Enabling the Exfiltration of Sensitive Information

Discovered by FutureSearch researcher Callum McMahon, a supply chain attack against LiteLLM on PyPI resulted in over 40 thousand downloads of a compromised version that installed a malicious payload capable of harvesting and exfiltrating sensitive information. LiteLLM is downloaded roughly 3 million times per day.

By Sergio De Simone

Agentic AI Patterns Reinforce Engineering Discipline

Paul Duvall recently discussed his library of engineering patterns for AI assisted development and practices that ground high quality delivery. Related discussions from Paul Stack and Gergely Orosz highlight a shift toward remixing and specification driven development.

By Rafiq Gemmail

Presentation: Hidden Decisions You Don’t Know You’re Making

Dan Fike and Shawna Martell explain how "hidden decisions" silently shape software architecture and engineering culture. By examining the invisible defaults behind CI/CD bottlenecks, platform complexity, and misaligned metrics, they share frameworks for leading with intentionality. Learn to identify the "decision behind the decision" to better incentivize high-performing teams and careers.

By Shawna Martell, Dan Fike

Kubernetes Autoscaling Demands New Observability Focus Beyond Vendor Tooling

As adoption of Kubernetes autoscalers like Karpenter accelerates, a new set of platform-agnostic observability practices is emerging, shifting focus from traditional infrastructure metrics to deeper insights into provisioning behavior, scheduling latency, and cost efficiency.

By Craig Risi

TanStack Start Introduces Import Protection to Enforce Server and Client Boundaries

TanStack Start has introduced a import protection, which aims to prevent server and client code from being mixed in full-stack React applications. This Vite plugin automatically checks imports during development and build processes. It blocks harmful imports by file naming conventions or explicit markers, enhancing security and reducing bugs without requiring additional developer input.

By Daniel Curtis

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