Category: Azure SQL Database

Guest author Dustin Dorsey shows how to prepare for a migration to Azure SQL Database by sending SentryOne monitoring data to the DTU calculator.
Tim Radney explains some of the nuances of performance tuning your workloads in Azure SQL Database and Azure SQL Database Managed Instance.
Glenn Berry of SQLskills.com describes the different tiers for Azure SQL Database, and what you get for your money in each case.
Following up on her post about automatic plan correction, Erin Stellato talks about a new feature in Azure SQL Database: Automatic Index Management.
John Martin announces the latest release of the SentryOne platform, which includes support for Azure SQL Database Managed Instance.
Erin Stellato gives an overview of Automatic Plan Correction in SQL Server 2017 and Azure SQL Database, and assures us that Microsoft is not trying to code us out of jobs.
Tim Radney gives an overview of Managed Instances, and explains how they bridge the gap between on-premises SQL Server and Azure SQL Database.
Tim Radney of SQLskills talks about the various Standard tiers available in Azure SQL Database - what they get you, and how much they cost.
Melissa Coates of SentryOne shares slides, videos, and other resources from a recent webinar on building an Azure SQL Data Warehouse.
Andy Mallon explains DTUs (Database Transaction Units) and the differences you might see between the documentation and practical usage.
Kevin Kline invites you to three webinars coming up in January: A two-part series on the Azure platform, with Gavin Payne; and a session from Paul Stanton on running SQL Server inside Docker containers.
Proof of Concepts: Making Hard Things Easy with Azure
Tim Radney of SQLskills discusses strategy and some available tools for helping migrate your databases to Azure SQL Database.
October 25, 2016 | SQLPerformance.com | Azure, Azure SQL Database 0
Recently I have been exploring Dynamic Data Masking, looking at ways that it can be used and I thought I would share my thoughts with you.
U-SQL and the Azure Data Lake
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