Open Atrium: team collaboration Open Atrium is an intranet in a box that has group spaces to allow different teams to have their own conversations and collaboration. Open Atrium 2.x for Drupal 7 A new architecture for Drupal 7 that is built upon Panopoly and intended as an extensible collaboration framework. Adds the ability to have private "sections" within a collaboration space with granular access control. Drag/drop layout control with dozens of widgets that can be placed on dashboards and landing pages. Please use the Issue Queue to post bug reports and patches for OA2 only (not OA1). Demos The following webinar videos for Open Atrium 2 are available: Open Atrium 2.x Projects These modules are part of the official Open Atrium project and are actively maintained and approved. Other Modules that work with Open Atrium 2.x Ginkgo theme from OA1 ported to OA2Organic Groups Theme for having a different theme on each Space.Contextual Help for an alternative to the OA Tours for adding contextual help to a site.
Building an Effective Data Warehouse Architecture CI and CD tools - Comparaison CI and CD: Introduction I was reading through the conversation at DevOps tool-chain group. The problem posted was difficulty of using Jenkins as a delivery pipeline. Though you can use Jenkins to build continuous deliver pipelines, there are better suited and specialized “deployment automation” tools for the job: CA Release Automation Center (Formerly Nolio from Noliosoft) : The tool I was trained and been playing sinceLiveRebel from Zeroturnaround: I had test driven this a few months before – loved some awesome features like rolling deployments etc.DeployIT from XebiaLabs: Heard recently and started exploring, got a demo at DevOpsDays. Continuous Integration Continuous integration primarily focuses on building code, running tests and ensuring the code is in “clean” state. Continuous delivery/deployment Continuous delivery focuses on deploying a set of changes to one/more environments. In contrast to a continuous integration process, in continuous delivery - The gap! Go- ThoughtWorks
Six Thinking Hats - Decision-Making Skills Training from MindTools.com Looking at a Decision From All Points of View Look at decisions from many angles, with James Manktelow & Amy Carlson. 'Six Thinking Hats' is an important and powerful technique. It is used to look at decisions from a number of important perspectives. This forces you to move outside your habitual thinking style, and helps you to get a more rounded view of a situation. This tool was created by Edward de Bono in his book '6 Thinking Hats'. Many successful people think from a very rational, positive viewpoint. Similarly, pessimists may be excessively defensive, and more emotional people may fail to look at decisions calmly and rationally. If you look at a problem with the 'Six Thinking Hats' technique, then you will solve it using all approaches. How to Use the Tool You can use Six Thinking Hats in meetings or on your own. Each 'Thinking Hat' is a different style of thinking. White Hat: With this thinking hat you focus on the data available. Example Key Points
An Introduction to Fast Track Data Warehouse Architectures SQL Server Technical Article Writer: Erik Veerman, Solid Quality Mentors Technical Reviewer: Mark Theissen, Scotty Moran, Val Fontama Published: February 2009 Applies to: SQL Server 2008 Summary: This paper provides an overview and guide to SQL Server® Fast Track Data Warehouse, a new set of reference architectures created for scale-up (SMP) SQL Server based data warehouse solutions. The performance and stability of any application solution—whether line of business, transactional, or business intelligence (BI)—hinges on the integration between solution design and hardware platform. This paper is a companion resource for Microsoft’s new SQL Server Fast Track Data Warehouse reference architectures , which provide tested, pre-configured architectures and architectural guidance for a BI solution’s database components and hardware systems. The intended audience for this paper includes IT executives and managers, solution architects, IT infrastructure planners, and project managers. Overview
Chris Crawford (game designer) Chris Crawford, 2011 After receiving a B.S. in physics from UC Davis in 1972 and an M.S. in physics from University of Missouri in 1975, Crawford taught at a community college and the University of California. Using the knowledge gathered while writing these games, he helped produce technical documentation covering most of the advanced features of the Atari computer, from the hardware assisted smooth scrolling to digitized sounds, with the information presented in a friendly format for a wide audience. This included videos distributed by ACE (Atari Computer Enthusiast) Support [2] to user groups, and a series of articles published in BYTE magazine containing most of the content of the book, De Re Atari that would be published later. Another book followed, The Art of Computer Game Design. Crawford acknowledged that his views on computer game design were unusual and controversial. Crawford admitted that some critics called his games inaccessible:[1] In many ways, I'll agree with it.
Snowflake schema The snowflake schema is a variation of the star schema, featuring normalization of dimension tables. Common uses[edit] Star and snowflake schemas are most commonly found in dimensional data warehouses and data marts where speed of data retrieval is more important than the efficiency of data manipulations. As such, the tables in these schemas are not normalized much, and are frequently designed at a level of normalization short of third normal form.[citation needed] Deciding whether to employ a star schema or a snowflake schema should involve considering the relative strengths of the database platform in question and the query tool to be employed. Data normalization and storage[edit] Normalization splits up data to avoid redundancy (duplication) by moving commonly repeating groups of data into new tables. From a space storage point of view, the dimensional tables are typically small compared to the fact tables. Benefits[edit] Disadvantages[edit] Examples[edit] See also[edit] References[edit]
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