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Core. Skip to main content Skip to search Drupal Search form Download & Extend Primary tabs Posted by Drupal on Get started by downloading the official Drupal core files. Before installing Drupal, please review the system requirements and the Installation Guide. Information on version numbers can be found in the online documentation. Following Drupal core development For announcements of major initiatives and opportunities to contribute, please follow the Core announcements group (RSS feed, @drupalcore on twitter.).

Change records for Drupal core For announcements specifically around Drupal 8 (the unreleased version that is currently in development), please see and the Drupal 8 Initiatives group (RSS feed). Support Drupal.org Donate Now You can give back to the project by making a donation to help fund the Drupal.org website. Downloads Recommended releases Development releases View all releases Maintainers for Drupal core View all committers View commits. IT Dashboard / Discussion / Discussion. IT Dashboard. Federal IT Dashboard. Mike's Data Views. I was asked recently on my views on data design tools. So I speak as a user. This of course is a great position to be in, since like any user I can produce wish lists forever, no matter how impractical.

The major data design tools I have used are: ERWin .Used a lot, of course. Modelware1 (m1). Built originally by a small software company, and then bought by IBM. I also used this a lot, and provided some input into its features InfoSphere Data Architect (IDA) with extensions to use the IBM Banking data model set. PowerDesigner . In earlier posts I observed that most of the data tools I’ve used are not really fit for purpose, which is possibly a bit unfair.

First, support the design process. . - Different values for the same codes (e.g. male and female for one user; male, female, LGBT for another) - Different relationships (e.g. one home phone number per person vs multiple numbers) - History (e.g. address history important for one user, not important for another) Data Shipping. Big data. Big Data. Data Mart Suite 文档.