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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
41 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
Article: Building a Global Caching System at Netflix: A Deep Dive to Global Replication
Netflix's EVCache system handles 400M ops/second across 22,000 servers, managing 14.3 PB of data. This infrastructure ensures global availability and resilience through intelligent data routing and flexible replication strategies. By implementing batch compression and switching to DNS-based discovery, Netflix optimizes efficiency, reduces bandwidth usage and significantly lowers operational costs.
By Sriram Rangarajan, Prudhviraj KarumanchiPodcast: The Ongoing Challenges of DevSecOps Transformation and Improving Developer Experience
In this podcast Shane Hastie, Lead Editor for Culture & Methods, spoke to Adam Kentosh about the ongoing challenges organisations face in their DevOps, DevSecOps and digital transformation journeys.
By Adam KentoshMaybe WebAssembly Is the Next Evolutionary Step From Containers: Fermyon at InfoQ DevSummit Munich
During her presentation at the inaugural edition of the InfoQ Dev Summit Munich, Danielle Lancashire, principal software engineer at Fermyon and co-chair of the CNCF wasm-wg, hinted at WebAssembly containers as a greener alternative and a potential evolution from the current containerised approach to serverless computing.
By Olimpiu PopNVIDIA Unveils NVLM 1.0: Open-Source Multimodal LLM with Improved Text and Vision Capabilities
NVIDIA unveiled NVLM 1.0, an open-source multimodal large language model (LLM) that performs strongly on both vision-language and text-only tasks. NVLM 1.0 shows improvements in text-based tasks after multimodal training, standing out among current models. The model weights are now available on Hugging Face, with the training code set to be released shortly.
By Robert KrzaczyńskiInfoQ Dev Summit Munich: How to Optimize Java for the 1BRC
Java applications passed the 1 Billion Row Challenge (1BRC) in 1.5 seconds. 1BRC creator Gunnar Morling detailed their optimizations at the InfoQ Dev Summit Munich 2024. General optimizations applicable to all Java applications cut the runtime from 290 seconds to 20 seconds. Getting to 1.5 seconds required niche optimizations that most Java applications should forego, except for possibly GraalVM.
By Karsten Silz
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