ViennaJS April 2018

Bring your Minitalks! Everybody is welcome & feel free to share this invitation!

Date

Wednesday, 25th April 2018 at 7pm

Location

StockWerk
Pater-Schwartz-Gasse 11A
1150 Wien
Öffentlich: U6 Gumpendorfer Strasse 

Schedule

19:00 Welcome, maki and drinks
19:15 Community Updates
19:30 World-class frontend engineering at scale (20min talk + Q&A)
20:15 Make your Google Apps talk to each other (20min talk + Q&A)
21:00 Geospatial Data & JavaScript (20min talk + Q&A)
21:45 Afterparty at Mariahilferbräu

Talks

World-class frontend engineering at scale

By Hannes Obweger

Over the last months, the Jira development team has been busy shipping an all-new UI layer, all written in React, redux, and rx.js. Learn about the strategies and tools that Atlassian has developed to create a high-velocity, high-quality engineering environment for more than 150 developers, spread across Sydney, Vienna, and the Bay Area. Hannes is the engineering manager for Jira's frontend development and will share tales of big wins and painful revelations, all part of a journey towards world-class frontend engineering at scale.

Make your Google Apps talk to each other

By Diana Vysoka

I am sure that you use Google Sheets to organize your data and that you are familiar with the built-in functions, too. Just imagine a huge sheet with hundreds of columns and rows. Now try to edit them, analyze and send particular information via Gmail, find addresses in Google Maps and create hundreds of events in Google Calendar, all based on the information from the sheet. Does not sound that easy anymore, does it? When it comes to advanced tasks, the built-in functions might not be sufficient and too much of manual activity might be needed. Not an ideal scenario for us, developers. Thanks god, there is another and more powerful way to process and edit the data using JavaScript. Let me show you how to solve all of these problems using this beautiful language in your Google Apps! This session contains a lot of good information in slides as well as live coding.

Geospatial Data & JavaScript

By Tamas Piros

Learn how the full-stack JavaScript photo sharing app Geophoto was build. The goal of the application is to make it easy to upload photos, make them searchable, provide additional insight and knowledge about photo locations, and securely and privately store some photos while making others publicly available. The presentation will last 20 minutes and include a demo of the app and a code walkthrough of the Node.js middle-tier, highlighting how to: Work with binaries, including streaming data and extracting EXIF metadata Enable geospatial and full-text search along with maps integration Use semantics triples and SPARQL to provide additional intelligence about your data

Sponsors