Tags
Search
Conference
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.
In this demo-intensive session you will discover how to capture a meaningful workload in production and how to replay it against your test system.
In this session you will learn how to use Extended Events and Dynamic Management Views (DMVs) to build a performance-monitoring system for your database environment.
Have you ever considered a situation where Columnstore Index can be quite the opposite of what one expect from it? A slow, wasteful source of painfully slow queries, lagging the performance, consuming irresponsible amount of resources ...
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 Why analyze outdated data if you can have fresh data instead?
Data architects and DBAs have debated database design best practices for decades. Join us for some great debates and laughs.
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.
It just works – performance and scale in SQL Server 2016 database engine and what is being added to in-market versions.
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
The Query Store will change how you tune queries and gather metrics about them in both SQL Server 2016 and Azure SQL Database.
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.
Ask with T-SQL the "what" and delegate to the engine the "how". With few slides and a lot of real-case scenarios, you can see the advantages of writing the query for high performance, even when they are written by that "someone else" called ORM
An in depth look at query plans and the query optimiser
<<12>>