jaxjug July Meeting - Introduction to Spark

Event Details

jaxjug July Meeting - Introduction to Spark

Time: July 8, 2015 from 6pm to 8pm
Location: Availity
Street: 10752 Deerwood Park Blvd S, Ste 110
City/Town: Jacksonville FL 32256
Website or Map: http://maps.google.com/maps?q…
Phone: Eyalwir@ yahoo.com
Event Type: meeting
Organized By: Eyal Wir
Latest Activity: Jul 7, 2015

Export to Outlook or iCal (.ics)

Event Description

Introduction to Spark

Presented by Carol McDonald, MapR Technologies



Apache Spark is a fast and general engine for large-scale data processing. In contrast to Hadoop's two-stage disk-based MapReduce paradigm, Spark's in-memory primitives provide performance up to 100 times faster for certain applications.



The Spark software stack includes a core data-proccessing engine, an interface for interactive querying, Sparkstreaming for streaming data analysis, and growing libraries for machine-learning and graph analysis. Spark is quickly establishing itself as a leading environment for doing fast, iterative in-memory and streaming analysis.



This talk will give an introduction the Spark stack, explain how Spark has lighting fast results, and how it complements Apache Hadoop.


Please RSVP!
http://www.meetup.com/Jacksonville-JAVA-User-Group-JaxJUG/events/223679551/

Comment Wall

Comment

RSVP for jaxjug July Meeting - Introduction to Spark to add comments!

Join Codetown

Might attend (1)

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.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Nuxt Introduces Native Request Cancellation and Async Handler Extraction for Performance Gains

Nuxt 4.2 elevates the developer experience with native abort control for data fetching, improved error handling, and experimental TypeScript support. With a 39% reduction in bundle sizes and a streamlined app directory, this release enhances performance and project organization, positioning Nuxt as a leading choice for full-stack web applications built on Vue.js.

By Daniel Curtis

OpenAI and Anthropic Donate AGENTS.md and Model Context Protocol to New Agentic AI Foundation

OpenAI and Anthropic have donated their AGENTS.md and Model Context Protocol projects to the Agentic AI Foundation (AAIF), a new directed fund under the Linux Foundation. Block contributed their agent framework, goose, as another founding project, and several other tech companies have joined as Platinum members.

By Anthony Alford

Pinecone Introduces Dedicated Read Nodes in Public Preview for Predictable Vector Workloads

Pinecone recently announced the public preview of Dedicated Read Nodes (DRN), a new capacity mode for its vector database designed to deliver predictable performance and cost at scale for high-throughput applications such as billion-vector semantic search, recommendation systems, and mission-critical AI services.

By Craig Risi

Article: Building Streaming Infrastructure That Scales: Because Viewers Won't Wait Until Tomorrow

In streaming, the challenge is immediate: customers are watching TV right now, not planning to watch it tomorrow. When systems fail during prime time, there is no recovery window; viewers leave and may not return. One and a half years ago, at ProSiebenSat.1 Media SE, we faced the challenge of scaling streaming applications for international users.

By Daniele Frasca

Target Improves Add to Cart Interactions by 11 Percent with Generative AI Recommendations

Target has deployed GRAM, a GenAI-powered accessory recommendation system for the Home category, using large language models to prioritize product attributes and capture aesthetic cohesion. The system helps shoppers find compatible accessories, integrates human-in-the-loop curation, and achieved measurable improvements in engagement and conversion.

By Leela Kumili

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service