Learn the ins and outs of Azure Data Lake in this deep dive
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 and see how queries use them.
Containers are a new and exciting technology but what does it mean for DBAs? This session will give an introduction into SQL Server running in containers and what options are available.
Continuous Integration has not yet been fully integrated into our BI standards and methods. Tool support is still somewhat unsatisfactory. Let’s look into requirements for a SSAS solution and on ways to approach your self-made solution.
With the latest release of SQL Server Reporting services, more and more organizations are adopting it as an organizational reporting solution. Join this session as I explain how to architect and deploy a scalable and highly available solution.
An example of how Azure Data Catalog lets users understand and consume data sources.
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.
Come to this session to learn about AzureSQL DB migration approaches, challenges, and solutions from SQLCAT. We will present practical migration guidance and learnings from our engagements with high scale and complex customer migrations
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.
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