MacRumours.com pointed out that January 24, 2009 marked the 25th anniversary of the introduction of the Apple Macintosh.
Below is a YouTube video of a younger (and healthier) Steve Job’s demonstrating the Mac.
These Best Practice papers present advice on the most optimal ways you can use DB2 to satisfy key business data processing needs. These papers are authored by leading experts in IBM’s development and consulting teams, and have been extensively tested.
Each Best Practice paper is designed to provide practical guidance for the most common DB2 9 product configurations. By applying these recommendations, you may improve the value of your DB2 data servers and align yourself with IBM’s technical direction for DB2.
Currently there are papers covering the following topics:
Expect more papers on other topics in the near future.
A few weeks ago, the DB2 Monitoring Console was released. The monitoring console is “a light weight, web based console for DB2 for Linux, UNIX and Windows. It is also a set of building blocks for rapidly developing your own console or PHP Web-based application.”
DB2 Viper 2 is out of beta and now available as DB2 9.5 for Linux, UNIX, and Windows. The What’s New guide provides a complete list of all the new features. If you’d rather take a test drive, download DB2 9.5 now.
PS. If you’re looking for a version of DB2 for Linux, UNIX, and Windows that is free to develop, deploy, and distribute, check out DB2 Express-C.
Continuing our conservation on things I learnt at FaceBookCampToronto…
As it turns out, developers are responsible for providing their own server for their Facebook application. I had simply assumed applications would be hosted directly on the Facebook servers either in sandboxed partitions or on separate dedicated servers sharing the same high-speed network. It appears Facebook has a BYOB policy (“Bring Your Own Box”).
In addition to APIs, the Facebook Platform allows developers to access user data using an SQL-like query language called Facebook Query Language (FQL). Compared with SQL, FQL has a number of noticeable limitations.