Codetown
Codetown ::: a software developer's community
-
Carol McDonald
- Female
- Jacksonville, Florida
- United States
- Blog Posts (3)
- Discussions (4)
- Events
- Groups (9)
- Photos
- Photo Albums
- Videos
Carol McDonald's Groups
-
Community Corral
23 members
-
iPhone Development
40 members
-
Database SIG
13 members
-
JEE Town
28 members
-
Spring Town
47 members
Carol McDonald's Discussions
Some Java Concurrency Tips
Started Sep 18, 2009
Java Enterprise Tech Tips: Locking and Concurrency in Java Persistence 2.0
Started Sep 14, 2009
Comparing Tomcat and Glassfish
Started Mar 6, 2009
Gifts Received
Carol McDonald has not received any gifts yet
Carol McDonald's Page
Profile Information
- 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 1 Like
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 0 Likes
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,…
Continuescreencast about MySQL for Developers
Posted on March 30, 2009 at 10:30am 0 Comments 0 Likes
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
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
InfoQ Reading List
Presentation: Achieving a Culture That Works: Inclusive Leadership that Drives Lasting Success
Matthew Card discusses the intersection of leadership and inclusivity at the BBC. He explains how "changing the bar" rather than just raising it can transform team dynamics. Covering trust, psychological safety, and his "C.A.P.S." and "D.O.S.E." frameworks for resilience, he shares practical strategies for engineering leaders to eliminate toxic behaviors and empower diverse talent to thrive.
By Matthew CardHow Agoda Unified Multiple Data Pipelines Into a Single Source of Truth
Agoda recently described how it consolidated multiple independent data pipelines into a centralized Apache Spark-based platform to eliminate inconsistencies in financial data. The company implemented a multi-layered quality framework that combines automated validations, machine-learning-based anomaly detection, and data contracts, while processing millions of daily booking transactions.
By Eran StillerAI-Powered Code Editor Cursor Introduces Dynamic Context Discovery to Improve Token-Efficiency
Cursor has introduces a new approach to minimize the context size of requests sent to large language models. Called dynamic context discovery, this method moves away from including large amounts of static context upfront, allowing the agent to dynamically retrieve only the information it needs. This reduces token usage and limits the inclusion of potentially confusing or irrelevant details.
By Sergio De SimoneVercel Open-Sources Bash Tool for Context Retrieval Using Local Filesystems
Vercel has open-sourced bash-tool that provides a Bash execution engine for AI agents, enabling them to run filesystem-based commands to retrieve context for model prompts.
By Daniel DominguezArticle: Platform-as-a-Product: Declarative Infrastructure for Developer Velocity
Declarative infrastructure config hides complexity, enabling developers to focus on application code. Unified YAML per service allows early cost validation, while independent CI with centralized CD balances team autonomy and deployment consistency. This standardized approach scales across organizations, making infrastructure invisible and operations automatic.
By Avinash Sabat
© 2026 Created by Michael Levin.
Powered by
Comment Wall
You need to be a member of Codetown to add comments!
Join Codetown