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Codetown ::: a software developer's community
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Carol McDonald
- Female
- Jacksonville, Florida
- United States
- Blog Posts (3)
- Discussions (4)
- Events
- Groups (9)
- Photos
- Photo Albums
- Videos
Carol McDonald's Groups
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GatorJUG Town
30 members
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Community Corral
23 members
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iPhone Development
40 members
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Database SIG
13 members
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JEE Town
28 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.
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InfoQ Reading List
New Rust Client Enables Building Safe, High-Performance Apps with Aerospike
Aerospike has officially released its Rust client to support high-throughput, low-latency applications interacting with its real-time NoSQL database.
By Sergio De SimoneHow Cloudflare Migrated Quicksilver to Multi-Level Caching While Serving Billions of Requests
The engineering team at Cloudflare recently shared how they transitioned Quicksilver, their internal global key-value store, to a tiered caching architecture. They described their incremental journey from storing everything everywhere to adopting a distributed caching system, improving storage efficiency while preserving consistency guarantees and low-latency reads at the edge.
By Renato LosioWhen Unchecked Autoscaling Generates a $120K Cloud Spend
In the wake of a staggering $120K bill due to unchecked autoscaling during a DDoS attack, industry experts stress the necessity of robust FinOps strategies. Key recommendations include capping resource limits and utilizing real-time alerts to prevent financial disasters. Balancing cost control with system availability is crucial to safeguard modern cloud environments.
By Steef-Jan WiggersGrafana 12.1 Brings Built-in Diagnostics and Enhanced Alerting
Grafana 12.1 is here, elevating system reliability and alert management with features like Grafana Advisor for health checks, a revamped alerting interface, and trendline transformations for smarter data visualization. Enhanced dashboard interactivity and improved variable handling empower teams to scale efficiently. Experience the new era of Grafana on Cloud or self-hosted!
By Mark SilvesterGoogle Launched LangExtract, a Python Library for Structured Data Extraction from Unstructured Text
Google has introduced LangExtract, an open-source Python library designed to help developers extract structured information from unstructured text using large language models such as the Gemini models.
By Daniel Dominguez
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