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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
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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
Uber Eats Introduces INCA to Scale Catalog Management from Restaurants to Retail
Uber Eats introduced INCA (Inventory and Catalog), a scalable system to handle vast product catalogs from supermarkets, pharmacies, and retail partners. Unlike the earlier restaurant-focused setup built for low SKUs and simple pass-through data, INCA supports large-scale inventories, rich metadata, and compliance needs essential for retail operations.
By Leela KumiliAirbnb Executes Istio Upgrades at Massive Scale
Airbnb engineering has published a detailed account of how it maintains high availability during Istio upgrades across tens of thousands of pods and thousands of VMs, all without downtime.
By Craig RisiPresentation: Extreme DevOps Automation
Sérgio Amorim shares how Revolut’s small DevOps team leverages a centralized systems catalog and automation to enable 1,300 engineers to build and deploy applications with speed and consistency. He explains how this approach reduces manual effort and improves observability, alerting, and database management at scale.
By Sérgio AmorimAWS Launches Memory-Optimized EC2 R8i and R8i-flex Instances with Custom Intel Xeon 6 Processors
AWS has launched its eighth-generation Amazon EC2 R8i and R8i-flex instances, powered by custom Intel Xeon 6 processors. Designed for memory-intensive workloads, these instances offer up to 15% better price performance and enhanced memory throughput, making them ideal for real-time data processing and AI applications.
By Steef-Jan WiggersArticle: MCP: The Universal Connector for Building Smarter, Modular AI Agents
In this article, authors discuss Model Context Protocol (MCP), an open standard designed to connect AI agents with tools and data they need. They also talk about how MCP empowers agent development, and its adoption in leading open-source frameworks.
By Sanjay Surendranath Girija, Lakshit Arora, Shashank Kapoor
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