- When: October 12, 11:30-12:40
- Where: Oklahoma City Coworking Collaborative (see Meeting location)
- Speaker: Brett Schuchert
- Topic: FitNesse and SliM: rapid intro
Agenda
- 11:30 am – Welcome Announcements
- 11:40 am – Main Presentation
- 12:40 pm – Wrap Up
Presentation Information
This one hour talk will show the basics of getting started writing automated acceptance tests in FitNesse. The presentation will demonstrate adding acceptance tests to existing production code. Here’s the outline:
- Quick problem overview
- Description in examples
- Turing the examples into FitNesse tests
- Writing fixtures, the “glue code” that makes the tests runn
- Getting tests to pass
We will look at a few different kinds of tables, as many as time permits.
Josh Pavlovich sent me the presentation slides from our August meeting. Enjoy.
- When: September 14, 11:30-12:40
- Where: Oklahoma City Coworking Collaborative (see Meeting location)
- Speaker: Corey Swain
- Topic: The Evolution of a Data Warehouse
Agenda
- 11:30 am – Welcome Announcements
- 11:40 am – Main Presentation
- 12:40 pm – Wrap Up
Presentation Information
In this presentation, the audience will be guided through the timeline of an actual data warehouse project. The presenter will highlight the major risks, opportunities, and decision points that were experienced. The presentation will facilitate the audience’s understanding of the maturation process experienced during the Data Warehouse’s existence.
- When: August 10, 11:30-12:40
- Where: Oklahoma City Coworking Collaborative (see Meeting location)
- Speaker: Ryan Hoegg
- Topic: Distributed Computing with Apache Hadoop
Agenda
- 11:30 am – Welcome Announcements
- 11:40 am – Main Presentation
- 12:40 pm – Wrap Up
Presentation Information
Some of today’s internet software serves millions of users and uses petabytes of data. NoSQL databases and MapReduce algorithms help us make use of large numbers of servers in different locations to manage this data and serve these users. Apache Hadoop provides “open source software for reliable, scalable, distributed computing”. Some companies using it are Amazon, EBay, Facebook, Hulu, LinkedIn, Twitter, and Yahoo.
I will give an overview of the Hadoop suite, review a sample java application using some of the technology, and entertain questions and discussion.