I am pleased and proud to announce that on Thursday 17th September, I along with my good friend Régis Baccaro (web|twitter) will be delivering our full day pre-conference training day titled “Implementing Business Intelligence & SharePoint High Availability Solutions“.
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For quite some time we have come to realize that most High Availability training sessions really fail to bridge that gap between foundational concepts and practical usage and that a large number of High Availability solutions are not just requirements for important Online Transaction Processing (OLTP) environments but also for an ever increasing number of Business Intelligence platforms (the changing dependency by your business on your Data Warehouse being a classic example of this situation).
But of course Business Intelligence solutions do not just begin and end with “the database” and with this in mind, we will be covering a broad range of topics which will cover end to end Highly Availability BI deployments looking in-depth at SharePoint, SSAS, SSIS and SSRS availability and scale. Of course a key component to every BI solution *is* the database layer, so we will not neglect this aspect either. Rest assured that we will provide comprehensive and in-depth instruction for database HA which of course will include Failover-Clustering and Always-On availability groups and also aim to look at how Virtualization and Cloud based solutions are changing the face of HADR.
This session will be ideal for Database Administrators, Windows and System Architects, and Business Intelligence/ SharePoint professionals who need to make qualified decisions about their Highly Available Analytic and Reporting platforms and we would love to see you there!
For more information and booking, please see the following links:
Implementing Business Intelligence & SharePoint High Availability Solutions pre-conference training day at SQLSaturday Denmark
Other pre-cons at SQLSaturday Denmark
SQLSaturday Denmark news and information
SQLSaturday Denmark Community day registration
SQLSaturday Denmark on Twitter
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