Codetown
Codetown ::: a software developer's community
Google Maps in Depth: Geocoding and Rendering
Event Details
Time: October 27, 2010 from 6pm to 8:30pm
Location: Community Foundation of Sarasota
Street: 2635 Fruitville Rd
City/Town: Sarasota
Website or Map: http://maps.google.com/maps?o…
Event Type: meeting
Organized By: David Moskowitz
Latest Activity: Oct 26, 2010
Event Description
Our June 2010 presentation used Google maps as a sample platform to discuss jQuery and Ajax. Our presentation at the Sunjug this month will examine the Google Maps API in further detail.
Steve Goldsmith will describe how to use the Google Geoding API to determine latitude and longitude given a street address. Such a technique is needed in order to create maps given only address data. Steve will also discuss how to cleanse and manage such data.
The presentation will also demonstrate how to render markers based on JSON using the geocoded data. Velocity templates will be used to generate multiple types of output using the same data. This will include custom markers and marker clusters for larger datasets.
Steve Goldsmith is Sr. Software Architect at WAZAGUA in Bradenton Fl and is a frequent presenter at the Sunjug.
Food and refreshments will be provided by Wazagua.
The event will be hosted by Community Foundation of Sarasota, located at 2635 Fruitville Rd, Sarasota, FL 34237, which is west of exit 210 off I75.
Meeting Schedule:
* 6-6:45 PM: Networking
* 6:45 - 8:30 PM: Presentation
All Are welcome
Comment Wall
Comment
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.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
InfoQ Reading List
Article: Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs
Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, circuit breakers, and strong observability. But long‑term speed depends on culture, with teams owning p99, monitoring drift, managing thread pools, and treating performance as a shared, continuous responsibility.
By Saranya VedagiriUber Moves from Static Limits to Priority-Aware Load Control for Distributed Storage
Uber engineers detailed how they evolved their storage platform from static rate limiting to a priority-aware load management system. The approach protects Docstore and Schemaless, Uber’s MySQL-based distributed databases, by colocating control with storage, prioritizing critical traffic, and dynamically shedding load under overload conditions.
By Leela KumiliBuilding Software Organisations Where People Can Thrive
Continuous learning, adaptability, and strong support networks are the foundations for thriving teams, Matthew Card mentioned. Trust is built through consistent, fair leadership and addressing toxic behaviour, bias, and microaggressions early. By fostering growth, psychological safety, and accountability, people-first leadership drives resilience, collaboration, and performance.
By Ben LindersGoogle DeepMind Introduces ATLAS Scaling Laws for Multilingual Language Models
Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the number of supported languages increases.
By Robert KrzaczyńskiPresentation: Foundation Models for Ranking: Challenges, Successes, and Lessons Learned
Moumita Bhattacharya discusses the evolution of Netflix’s ranking systems, from the multi-model architecture to a Unified Contextual Recommender (UniCoRn). She explains how they built a task-agnostic User Foundation Model to capture long-term member preferences. Learn how they solve system challenges like high-throughput inference and the tradeoff between relevance and personalization.
By Moumita Bhattacharya
© 2026 Created by Michael Levin.
Powered by
RSVP for Google Maps in Depth: Geocoding and Rendering to add comments!
Join Codetown