Wanting to learn Drizzle? My friend Kent is doing just that, and documenting everything as he goes. It’s a great time to learn, as we head up to the bell milestone (which will be awesome) and big user visible changes are certainly slowing.
So, head on over to Learning Drizzle and learn Drizzle with Kent. Should be awesome.
Eric Day and Patrick Galbraith spoke on Drizzle, Gearman and Narada at the July 2009 Boston MySQL User Group. This is part 1 of the video, which is about an hour long and is about Drizzle.
"We will explain what the Drizzle project is, what we aim to accomplish, and an overview of where we are at."
The slides can be downloaded from http://www.oddments.org/notes/DrizzleGearmanBoston2009.pdf
The User Group calendar item for this event is http://www.meetup.com/mysqlbos/calendar/10607736/
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I just found out but Sang has been teaching a series of 1-day free training sessions on JavaFX, MySQL and GlassFish. The full list is at his JavaPassion Site but by now there are only 3 days left, so check it out and signup if you are interested and available. |
ScienceLogic embeds MySQL in its EM7 network management appliances. An installation of EM7 can perform over half a billion database queries daily, storing massive amounts of data for both real-time and trended performance reporting.
Michael McFadden, senior software architect with ScienceLogic, will discuss all this in an upcoming MySQL webinar.
ScienceLogic embeds MySQL in its EM7 network management appliances. An installation of EM7 can perform over half a billion database queries daily, storing massive amounts of data for both real-time and trended performance reporting.
Michael McFadden, senior software architect with ScienceLogic, will discuss all this in an upcoming MySQL webinar.
ScienceLogic embeds MySQL in its EM7 network management appliances. An installation of EM7 can perform over half a billion database queries daily, storing massive amounts of data for both real-time and trended performance reporting.
Michael McFadden, senior software architect with ScienceLogic, will discuss all this in an upcoming MySQL webinar.
Video for the presentation at the 2009 MySQL Camp:
InnoDB Database Recovery Techniques
Peter Zaitsev (Percona)
Description:
Have you ever had Innodb database corrupted or have deleted data
accidentally and want it back ? This session will go through
various approaches you can use to get most of your data back
using MySQL build in features as well as third party open source
tool.
This session speaks about Innodb database recovery techniques (apart from recovering from back).
First we will discuss various types of Innodb corruption and data loss scenarios ranging from user error to hardware failures.
Part 2 of "Understanding How MySQL Works by Understanding Metadata", presented by Sheeri K. Cabral (The Pythian Group) and Patrick Galbraith (Lycos Inc.). This was a 3-hour tutorial.
The PDF of the slides can be found at http://technocation.org/files/doc/2009_04_Understanding.pdf.
From the official abstract at http://www.mysqlconf.com/mysql2009/public/schedule/detail/5682:
We have spent countless hours researching over 1,000 pieces of metadata. In the process, we have learned a lot about how MySQL works, and realized that it was a pretty good learning method.
Part 1 of "Understanding How MySQL Works by Understanding Metadata", presented by Sheeri K. Cabral (The Pythian Group) and Patrick Galbraith (Lycos Inc.). This was a 3-hour tutorial.
The PDF of the slides can be found at http://technocation.org/files/doc/2009_04_Understanding.pdf.
From the official abstract at http://www.mysqlconf.com/mysql2009/public/schedule/detail/5682:
We have spent countless hours researching over 1,000 pieces of metadata. In the process, we have learned a lot about how MySQL works, and realized that it was a pretty good learning method.
Giuseppe Maxia and I are in the exact middle of our leg of the MySQL Campus Tour. Yesterday's session is was recorded -- A PDF of the slides can be downloaded at http://technocation.org/files/doc/2009_04_Tour.pdf (21 Mb).
The video is below: