Carol McDonald
  • Female
  • Jacksonville, Florida
  • United States
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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

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

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,…

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screencast about MySQL for Developers

Posted on March 30, 2009 at 10:30am 0 Comments

Here is a screencast about MySQL for Developers



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

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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

How Observability Can Improve the UX of LLM Based Systems: Insights of Honeycomb's CEO at KubeCon EU

During her KubeCon Europe keynote, Christine Yen, CEO and co-founder of Honeycomb, provided insights on how observability can help cope with the rapid shifts introduced by the integration of LLMs in software systems, which transformed not only the way we develop software but also the release methodology. She explained how to adapt your development feedback loop based on production observations.

By Olimpiu Pop

How Software Developers Can Build Their Personal Brand to Elevate Their Influence

A strong public brand helps software engineers in job transitions and creates opportunities, while an internal brand builds credibility within your company. Pablo Fredrikson shared a story about how he helped a team struggling with a service issue to improve relationships. To build your brand, define your goals, take on visible projects, and be helpful. It benefits both you and the company.

By Ben Linders

Cloudflare Enables Remote Hosting for Model Context Protocol (MCP) Servers

Cloudflare revolutionizes AI integration with the launch of remote Model Context Protocol (MCP) servers, enhancing accessibility for developers. This advancement allows seamless AI interactions with external services, offering simplified deployment, built-in OAuth for security, and expanded use cases. Embrace innovative workflows and empower your applications on a global scale.

By Steef-Jan Wiggers

Presentation: Rockset - Building a Modern Analytics Database on Top of RocksDB

Igor Canadi discusses the architecture of their real-time search analytics SQL database built on RocksDB. He explains their cloud-native design, custom RocksDB replication, shared hot storage solution, and how they optimized RocksDB for efficient analytical queries. Learn about their approach to scalability, low latency, and high concurrency for application-focused databases.

By Igor Canadi

Amazon Unveils Nova Act SDK and Expands Access to Advanced AI Models

Amazon has announced an expansion of its generative AI capabilities with the introduction of nova.amazon.com, a platform designed to give developers easier access to its foundation models. This includes the newly unveiled Amazon Nova Act, an AI model specifically trained to execute actions within web browsers.

By Robert Krzaczyński

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