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

Presentation: Moving Your Bugs Forward in Time: Language Trends That Help You Catch Your Bugs at Build Time Instead of Run Time

Chris Price discusses the critical shift from catching bugs at runtime to identifying them during the build process. He explains how leveraging modern programming language features such as static typing in dynamic languages, null safety, immutable data structures, and exhaustive pattern matching can significantly enhance code maintainability and prevent expensive production issues.

By Chris Price

Cultivating a Culture of Resilience in Software Organizations

Resilience helps individuals and organizations respond to challenges. Personal resilience is built through adapting, technical resilience by mastering a variety of tools, and organizational resilience through flexibility and strong networks. In fast-changing software industries, recognizing tech shifts and fostering learning, flexibility, and collaboration, enhances resilience.

By Ben Linders

Announcing Styrolite, a Low Level Container Runtime

Styrolite is an open-source, low-level container runtime to address security and usability issues in Linux containerization. Developed by Edera, Styrolite differentiates itself by offering a programmatic API that enables developers to create and manage containers in a controlled and secure manner.

By Aditya Kulkarni

Cloudflare AutoRAG Streamlines Retrieval-Augmented Generation

Cloudflare has launched a managed service for using retrieval-augmented generation in LLM-based systems. Now in beta, CloudFlare AutoRAG aims to make it easier for developers to build pipelines that integrate rich context data into LLMs.

By Sergio De Simone

Presentation: Cloud Attack Emulation: Leveraging the Attacker’s Advantage for Effective Defense

Kennedy Torkura discusses cloud attack emulation as a critical strategy for senior software developers and architects. He explains adopting the attacker's perspective, moving beyond passive assessments to active validation, and the principles of threat-informed defense to enhance cloud security posture. Learn about detection limitations and the necessity of continuous testing.

By Kennedy Torkura