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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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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
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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.
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InfoQ Reading List
Chainguard Finds 98% of Container CVEs Lurking Outside the Top 20 Images
The latest State of Trusted Open Source report from Chainguard gives details on current industry thinking about vulnerabilities in container images and the long tail of open-source dependencies. The report offers a data-driven view of production environments based on more than 1,800 container image projects and 10,100 vulnerability instances observed between September and November 2025.
By Matt SaundersOpenAI Launches Prism, a Free LaTeX-Native Workspace with Integrated GPT-5.2
OpenAI has released Prism, a free, cloud-based LaTeX workspace designed for academic writing and collaboration, with GPT-5.2 integrated directly into the authoring environment. The platform combines document editing, compilation, citation management, and AI-assisted revision in a single web-based workspace, aimed at researchers producing long-form scientific documents.
By Robert KrzaczyńskiOpenEverest: Open Source Platform for Database Automation
Percona recently announced OpenEverest, an open-source platform for automated database provisioning and management that supports multiple database technologies. Launched initially as Percona Everest, OpenEverest can be hosted on any Kubernetes infrastructure, in the cloud, or on-premises.
By Renato LosioGoogle Introduces Managed Connection Pooling for AlloyDB
Google Cloud has launched managed connection pooling for AlloyDB for PostgreSQL, boosting client connections by 3x and transactional throughput by up to 5x. This feature simplifies database management by automating connection management and reducing latency.
By Steef-Jan WiggersNVIDIA Dynamo Planner Brings SLO-Driven Automation to Multi-Node LLM Inference
Microsoft and NVIDIA have released Part 2 of their collaboration on running NVIDIA Dynamo for large language model inference on Azure Kubernetes Service (AKS). The first announcement aimed for a raw throughput of 1.2 million tokens per second on distributed GPU systems.
By Claudio Masolo
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