Simple messages are the most powerful. Keep it simple is the advice given by top technologists. One reason why blogs are extremely popular is their simplicity. This simplicity comes from the shortness and focus of the message of the blog. This Log Buffer Edition collects some simple yet powerful blog posts for you in Log Buffer #248.
When gurus like Alex Gorbachev, Doug Burns, and Norman Dunbar recommend something, it stays recommended and so is the case with “Mastering Oracle Trace Data” by Cary Millsap right after the UKOUG Conference in Birmingham.
Martin has decided to abandon openSuSE 11.4 and its xen implementation in favour of the PVOPS kernel and a different distribution.
Oracle veteran and a celebrated speaker Michael S. Abbey has written a nostalgic kind of post before he shines in UKOUG.
One of my favorite blogger Charles Hooper marks the second anniversary of his blog.
When Chris Antognini gets involved in a project where he has to trace the database, then we should all expect a delicious blog post.
Database Mirroring is a popular high availability solution and low-cost alternative to clustering, Kendal Van Dyke explains.
Mladen Prajdi? lets us know that the SSMS Tools Pack 2.1.0 is out and has added support for SQL Server 2012 RC0.
Colin Stasiuk shares #SQLFamily thoughts.
While the introduction of native support for sparklines and other microcharts in Excel 2010 was welcome, Excel is still lacking more advanced visualisation features, put by Chris Webb.
Behind the scenes in SSIS, the data flow engine uses a buffer-oriented architecture to efficiently load and manipulate datasets in memory. James Serra also tells us its benefits and more.
Best-in-class SchoonerSQL 5.1 is GA Now. Try it and get blown away as claimed by Pavan.
MySQL doesn’t often crash, but, if you use MySQL on a production system you should have High Availability, Mark Grennan blogs.
Sergey Petrunia reminds about Call for papers: “MySQL and Friends” devroom at FOSDEM 2012.
Could closed core prove a more robust model than open core? Andy Oram answers.
Over the course of years, Baron Schwartz has observed that the three most sensitive indicators of MySQL having a server lockup are the queries per second, number of connections, and number of queries running.
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