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The SQL team has been working on next-gen query processing improvements to improve the performance of your queries and to enable new scenarios. This talk will explain these enhancements and how they fit into the overall product roadmap for SQL.
Indexes are essential to good database performance, but it can be hard to decide what indexes to create. In this session we'll look at the design considerations for clustered indexes and for nonclustered indexes.
Not every workload can benefit from In-Memory tables. Memory Optimized Tables are not a magic bullet that will improve performance for all kinds of transactional workloads. This session gives you the details you need.
With increasing speed in relational query execution classical analytical solutions get challenged more and more. Why loose time for processing data into multi-dimensional databases? Why analyze outdated data if you can have fresh data instead?
SQL Server normally relies on concurrency models in order to maintain the Isolation in ACID. As systems scale, this method can go from being a benefit to a hindrance, limiting the concurrency for our applications and hurting performance.
In this session we will learn about SQL Server enhancements in the most recent versions that can help you troubleshoot query performance.
A query was running fast yesterday and today it suffers from performance problems. What will you do? - restart the server (did work) - drop the procedure cache (read in a blog article) - get a coffee and pass in review this session about statistics
Martin Wild of Quest Software will lift the lid on SQL Server on Linux. He will explore the mechanics to deploy SQL Server on Linux, what is and is not in the current Linux build and share some of quirks, and observations on setup and config.
In this session you will get a brief introduction to the basic principles of Master Data Services, together with an overview of all the new features brought to you with Master Data Services 2016.
Learn about the powerful 8600 series of trace flags which additional details about how the query optimizer behaves as it processes a query.
In this session we will show you how Tabular performs when you are querying a model with many billions rows, conduct a complete analysis of the model searching for optimization ideas and implement them on the fly, so to look at the effect of using th
Learn how object-oriented T-SQL hurts performance.
An in depth look at query plans and the query optimiser
The Query Store functionality in SQL Server 2016 will change the way we look at performance going forward. Come see why.
SQL Server 2016 is a class leading Tier One product but how do you get customers to upgrade and migrate? How can you address the "so what" SQL does everything I need to do now?
This session describes columnstore index internals with deep insight into data compression methodology for achieving high query performance including improvements in column store investments for SQL Server 2016 and Microsoft Azure SQL Database
Come take a deep dive and behind the scenes look at why SQL Server 2016 "Just Runs Faster" with little or no application changes.
Learn how to configure SQL Server 2016 for running R. The individual components and executables installed with R on SQL Server will be explored to understand the internal interactions and processes involved.
Row counts are the primary factor for choices made by the query optimizer. This session explores how row counts affects query performance.
Attend this session to get an overview of the wide array of significant changes and investments with Azure SQL Database, including parity with SQL Server 2016 and Intelligent database capabilities.
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