Three SQL Server MVPs (Jonathan Kehayias, Ted Krueger and Gail Shaw) provide fascinating insight into the most common SQL Server problems, why they occur, and how they can be diagnosed using tools such as Performance Monitor, Dynamic Management Views and server-side tracing. The focus is on practical solutions for removing root causes of these problems, rather than "papering over the cracks".
SQL Monitor v11 introduces native support for SQL Server instances hosted on Amazon Web Services (AWS) Relational Database Service (RDS) platform. In this post we'll explore the metrics you need to keep an eye on with Amazon RDS SQL Server monitoring, how a monitoring tool will help you manage the process of migrating databases to the Amazon cloud, as well as measures its success, and how SQL Monitor allows you to monitor all your SQL Server instances, wherever they are hosted, through a single pane of glass.
Learn how to easily identify and remove duplicate records when you discover them.
No matter what you need, Azure probably has a solution. In this article Diogo Souza demonstrates how to host a static web page in Azure in just a few steps with Azure Blob Storage and Azure CDN.
Introduction NoSqlOnSql is a strict syntactical superset of SQL; it adds NoSQL document-oriented capabilities to the SQL language. For this, it uses uses JSON-like documents, integrating them into the normal flow of SQL statements. NoSqlOnSql is based on augmenting a SQL database to support NoSQL features without any kernel changes. In this sense it is […]
SSMs and ADS are the new tools for SQL Server and the data platform, both of which are now available separately from SQL Server.
In this article we look at how to manage Power BI workspaces using PowerShell cmdlets.
Phil Factor reviews the major features of SSMS IntelliSense and autocomplete and then explains how SQL Prompt fills in the gaps, and how to use to use the two in tandem to 'get the best of both worlds'.
There’s the old saying “Whether you think you can or you think you can’t -- you’re right” from Henry Ford. I’ve thought about this more recently while reading the book The Rise of Superman Decoding the Science of Ultimate Human Performance which talks about how athletes have performed so called impossible feats over the past few […]
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By DataOnWheels
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I have some data in a table that looks like this:
BeerID BeerName brewer beerdescription 1 Becks Interbrew Beck's is a German-style pilsner beer 2 Fat Tire New Belgium Toasty malt, gentle sweetness, flash of fresh hop bitterness. 3 Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste 4 Alaskan Amber Alaskan Brewing Alaskan Brewing Amber Ale is an "alt" style beer 8 Kirin Kirin Brewing Kirin Ichiban is a Lager-type beerIf I run this, what is returned?
select t1.[key]
from openjson((select t.* FROM Beer AS t for json path)) t1 See possible answers