Compression: a hidden Gem for IO heavy Databases
The limiting factor in most database systems is the ability to read and write data to the IO subsystem.
We're still using storage layouts and methodologies in SQL Server that are a reflection of old spinning media in times gone by.
Until major changes are made to the internal storage layouts, we have "some" hope with options such as data compression, sparse columns and filtered indexes, which not only save space on disk, but also reflect a saving in memory.
In this session we will go over the IO savings technologies presented in SQL Server, and discuss how implementing some of these will assist in your operational performance goals.
Presenter: Charley Hanania, MVP
Charley is Principal Consultant at QS2 AG in Switzerland and has consulted to organisations of all sizes during his extensive career in Database and Platform Consulting.
He's been focussed on SQL Server since v4.2 on OS/2 and with over 15 years of experience in IT he's supported companies in the areas of DB training, development, architecture & administration throughout Europe, America & Australasia.
Communities are Charley's passion and he became active in database communities in the mid 90's, participating in heterogeneous database user groups in Australia. He continues to lead an active role through community events such as Database Days, the European PASS Conference, PASS & the Swiss PASS Chapter.