Start Time (24h) | Speaker | Track | Title |
---|---|---|---|
00:00:00 | Shehab El-Najjar | Track 2 | T-SQL Performance Guidelines for better DB stress |
00:00:00 | Niko Neugebauer | Track 1 | Analyzing Twitter Data |
00:00:00 | Niko Neugebauer | Track 1 | Inheriting a database for Developers, version 2 |
00:00:00 | Joe Chang | Track 1 | SQL Performance on Powerful Hardware |
00:00:00 | Joe Chang | Track 2 | Elements of Storage Performance |
00:00:00 | Mohamad Halabi | Track 2 | .NET and WCF Transactions for SQL Resource Manager |
00:00:00 | Nabeel Derhem | Track 1 | NoSQL, an Introduction |
00:00:00 | Hossam Alfraih | Track 1 | A Tour in The Indexing World! |
00:00:00 | Satya Jayanty | Track 2 | SQL Server Data platform upgrade Techniques, best practices notes from the field |
00:00:00 | Umit Tiric | Track 2 | SQL Server 2012 Parallel Data Warehouse Appliance |
Event Date: 23-05-2013 - Session time: 00:00:00 - Track: Track 2
Event Date: 23-05-2013 - Session time: 00:00:00 - Track: Track 1
Event Date: 23-05-2013 - Session time: 00:00:00 - Track: Track 1
Event Date: 23-05-2013 - Session time: 00:00:00 - Track: Track 1
Event Date: 23-05-2013 - Session time: 00:00:00 - Track: Track 2
Event Date: 23-05-2013 - Session time: 00:00:00 - Track: Track 2
Event Date: 23-05-2013 - Session time: 00:00:00 - Track: Track 1
Event Date: 23-05-2013 - Session time: 00:00:00 - Track: Track 1
Event Date: 23-05-2013 - Session time: 00:00:00 - Track: Track 2
This is the big question that every SQL Server user will be asking, from my experience I say not just for shiny new features but increase your productivity and do-more with-less practices. Data Platform Upgrade topic has been a popular session that I've presented in major conferences like Microsoft Tech-Ed (North America, Europe India) and SQLbits. In this session, we will overview end-to-end upgrade process that covers the essential phases, steps and issues involved in upgrading SQL Server 2000, 2005, SQL Server 2008 R2 (with a good overview on 2012 too) by using best practices and available resources. We will cover the complete upgrade cycle, including the preparation tasks, upgrade tasks, and post-upgrade tasks. Real-world examples from my Consulting experience expanding on why how such a solution is offered.
Event Date: 23-05-2013 - Session time: 00:00:00 - Track: Track 2
SQL Server 2012 Parallel Data Warehouse introduces PolyBase, a fundamental breakthrough in data processing used to enable seamless integration between traditional data warehouses and “Big Data” deployments.
Use standard SQL queries (instead of MapReduce) to access and join Hadoop data with relational data.
Query Hadoop data without IT having to pre-load data first into the warehouse.
Native Microsoft BI Integration allowing analysis of relational and non-relational data with familiar tools like Excel.
Scale and perform beyond your traditional SQL Server deployment with PDW’s massively parallel processing (MPP) appliance that can handle the extremes of your largest mission critical requirements of performance and scale.