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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
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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
NVIDIA Launches Ising Open Models for Quantum Computing
NVIDIA has announced a new family of open models called NVIDIA Ising, designed to address quantum processor calibration and quantum error correction. These are two of the main engineering challenges limiting the scalability of current quantum systems, where noise and instability in qubits reduce the reliability of computations.
By Daniel DominguezNestJS v12 Roadmap: Full ESM Migration, Standard Schema Validation and Modernised Toolchain
NestJS has announced a draft pull request for its upcoming v12.0.0 release, scheduled for early Q3 2026. Key changes include a transition from CommonJS to ESM, native Standard Schema support in route decorators, and shifts in testing and linting tools. Vitest will replace Jest, and oxlint will replace ESLint, while Rspack will replace Webpack for bundling.
By Daniel CurtisDriving and Measuring the Impact of Platform Engineering
Platform engineering has to be approached from a socio-technical perspective, and shaped by all stakeholders, not just developers, Sergiu Petean said in his talk Driving the Future of Insurance through Platform Engineering. Platform success depends on written principles that endure change while embracing change as the main design force, to enable teams to build, run, and release software.
By Ben LindersCloudflare Announces Agent Memory, a Managed Persistent Memory Service for AI Agents
Cloudflare announced Agent Memory in private beta, a managed service that extracts structured memories from AI agent conversations and retrieves them on demand using five-channel parallel retrieval with Reciprocal Rank Fusion. Shared memory profiles let teams of agents access common knowledge. Competitors include Mem0, Zep, LangMem, and Letta.
By Steef-Jan WiggersMeta's Approach to Migrating their Systems to Post-Quantum Cryptography
Meta has already begun preparing for the threats posed by quantum computing and migrating its systems to post-quantum cryptography, a complex process that will take multiple years to complete. In a recent article, Meta researchers outline their strategy and share key lessons learned along the way.
By Sergio De Simone
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