QCon is a practitioner-driven conference designed for technical team leads, architects, and project managers who influence software innovation in their teams.

Erlang User Group Meeting

When: 7. Mar 2013 at 18:30 -

Abstract

 

Erlang User Group Meeting

Speaker: Darach Ennis and John Vlachoyiannis

Time: March 7, 2013, 18:30-20:00

Place: Westminster 4th floor, The Queen Elizabeth II Conference Centre, London

Contact: Amalie Schmidt Møller

Fee: Free of charge

A unique opportunity to interact with Erlang User Group who has invited Qcon Speaker Darach Ennis, and John Vlachoyiannis.

Darach will present: "Conversational big data"

Traditional messaging middleware is clean - data and producer/consumer agnostic. Data Distribution is dirty - it exploits unlawful carnal knowledge of data structures and client environments and constraints to deliver high value real time conversational services.
Unleashing the corporate firehose over the web and to mobile, or accepting small data anywhere from any device requires something a little bit different. It's messaging, sort of, but we're not in Kansas any more and there are no red shoes.
Talk objectives: Inspire debate and discussion on the relevance or not of traditional messaging in an increasingly mobile world where the Internet of Things, Bring Your Own Device and the increasing sophistication of mobile platforms intersects with the way we work.
Target audience: Technologists and professionals interested in distributed systems and streaming data across firewalls, and between organisations.

John will present: "LDB: The BigData In-Memory database built with Erlang, C and LISP"

Would you believe it that you can feed data coming from various sources (even thousand different resources - like mobile devices) into a system, describe what information you want to extract in a few lines of code and then have all this information in your finger tips? In real time. While the system keeps running?
LDB powers BugSense and analyses data coming from more than 200M mobile devices, in realtime. And even though it is In-Memory, data is actually stored in the hard-drive and replicated across other nodes using the awesome features of Erlang.
With LDB we don’t run queries. We run algorithms due to a full blown custom LISP language written in C that has access to the same address space with the database. That means that you can search extremely fast for data and run complex algorithms insanely faster than any other solutions.
About John: When John is not giving tech presentations around the world, he uses C and Erlang to build a database for BigData visualizations called LDB - that powers BugSense and handles more than 200M mobile devices. On his spare time, he creates programs that create programs in Clojure, runs a fund managed by Startups and runs algorithms on FOREX (mostly HFT). 

Everyone is welcome (even if you do not participate in QCon London 2013). Come along learn, listen, debate, shape, join in, share experiences, exchange ideas and network.


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