Lately, database administrators often hear the question “have you tried Azure?“ or “can we use Azure for some of our databases?“. For me it was hard to answer these questions at first, but after a while I got to know what is really important behind these situations. In fact, what really matters is assessing the current environment, calculating the most suitable pricing tier and preparing a smooth migration.
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In SQL Server 2000, the sample databases were pubs and northwind. They contained sample information to learn SQL Server.
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After receiving new additions to backup and restore capabilities of SQL Servers like file and page restores, I thought that nothing will surprise me anymore, but well, here it is; SQL Server file-snapshot backups in Azure.
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Tons of new and exciting features have been introduced with the release of the latest SQL Server 2016. It simply is faster, better and more reliable! 🙂 As with the last several releases, there are again a lot of improvements with regards to the integration between on-premises databases and databases sitting into the Cloud. The ultimate goal is to have as convenient and easy as possible migration of the data in both directions. Today’s focus will be one of those features: Stretched Databases. Fasten your seatbelts and discover what is beneath this term!
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There are several options to upload SQL Server backups files, scripts or other files to Azure. In this new article, we will show how to use a new tool, Microsoft Azure Storage Explorer (MASE).
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If you have an Azure SQL Database, it is possible to replicate the data in multiple locations. In this new chapter, we will explain how to do it. This article has 3 sections:
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A couple of weeks ago I got this idea to capture twitter feeds and store it in a relational database structure. I wanted to be able to do some trend analysis, to see what days certain hashtags get used more than other as well as to be able to go back to certain tweets and see what I can learn from them. I tried to get the Twitter API to work for me, but had no luck. So I came across Microsoft Flow which seems to make this process very easy.
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With the release of Microsoft SQL Server 2016 a lot of new features were introduced, one of which was Temporal Tables, a feature that gives you the ability to view the state of your data at a given point in time. This means you can go back in time with your data. Another very popular feature is Stretch Databases which allows for remote archiving of data to Azure Stretch region.
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In our last chapter, we talked about Cosmos DB, which is available in Azure and explained that it is an Azure Database used to store NoSQL documents.
In this new article, we will show how to create and query the database from zero. The only requirement is to have an Azure Account. If you have an Azure account, this tutorial will take you just 10 minutes (if not, you can complain in the comments section below 😉 ).
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In the Azure Portal, you will find the option to install Azure SQL Cosmos DB. So, what is Cosmos DB, exactly?
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The elastic database is a new feature offered for SQL Azure Databases. Elastic databases are useful when you have several databases and you want to monitor and manage all the databases at the same time. To do this, a pool is required. The pool allows handling several databases at the same time.
In this chapter, we will learn how to create the pool and add SQL Azure Databases to it.
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Power BI is an extremely powerful tool to create dashboards and reports. In the last article, we learned how to create a Data Warehouse in Azure. In this new chapter, we will learn how to create reports from the Data Warehouse in Azure using Power BI in Azure.
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In previous chapters, we taught how to create SQL Databases in Azure. In this new chapter, we will show you the new SQL Data Warehouse Service in Azure.
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There are two main options in Azure to handle SQL databases:
In this chapter, we will talk about the advantages and disadvantages of each option.
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In this new article, we will create a SQL Server Report using SQL Server Reporting Services from a SQL Server machine installed in an Azure Virtual Machine. We will show step by step how to connect from a local machine to a VM Azure Database and generate a SQL report.
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As the time of the release of the next version of SQL Server is closing in, the cycle of Community Technical Preview (CTP) releases is shorter and shorter – we are now at CTP3 and the product seems very much mature for release. There is a handful of features not yet implemented, that was on the roadmap – but I bet you the SQL Team will go an extra length to get the features ready for the final release.
This post will show you how to get started with testing/using the newest version of the CTP.
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Azure is a simple and cheap way to have a Database. You can rent your Azure Database of 2 GB per 5 USD per month. That is a very cheap price. You can also administer your Database from your Android or your iPhone, which is very interesting.
It is also possible to create your Windows Application using Visual Studio and connect to SQL Azure. In this new chapter, we are going to create Windows application in C# and connect to a SQL Azure database. We are going to retrieve the information of a table stored in Azure in our Windows application.
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In this new article, we will use Visual Studio to connect to a SQL Server Database Installed in a Virtual Machine in Azure.
Visual Studio is one of the most popular development tools in the world and connecting to Azure with Visual Studio is a very common need.
We will modify an existing SQL Server table in Azure from Visual Studio. Later we will create a stored procedure and finally, we will create an inline table-valued function.
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In this chapter, we will work with Visual Studio to connect to SQL Databases in Azure.
The first part of this chapter will be to create a Database in the Azure Portal and the second part will be to connect in Visual Studio and create some Database Objects.
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In this new chapter, we will show how to use the Microsoft Portal to monitor the Virtual Machines with SQL Server Installed. We will show how to do it with the current Portal and the New Microsoft Azure Portal. We will check how to monitor performance, watch the logs, review the settings and change them. Read more »
In order to have a well-configured cluster we need to setup the quorum properly, but there’s more…Here is where the Cloud Witness comes to help.
In this article, I’m going to present something that would be very useful if was already been released, but no, I need to anxiously wait for the next version of Windows Server to be released, in order to start implementing this. Even though, I’m going to share with you, SQL Shack reader, why I’m so excited with that small and simple feature.
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We already talked a lot about Azure and hybrid deployments on this. In order to better understand this article I suggest the reading of the article “Azure Blob Storage – Placing database files in the cloud”, as the presented solution will be based on the same approach.
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There are great Microsoft tools to access to SQL Server in Azure. However, as a Database Developers and Administrators we need to help the end user to access to the information using a familiar and intuitive interface.
Most of the end users have a good knowledge in MS Excel. That is why it is recommended to connect our SQL Azure database to Excel. That way, the end user will be able to easily create reports, charts and generate useful information.
In this chapter, we will show how to connect to SQL Azure using Microsoft Excel.
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One of the new features in SQL Server 2016 – and there is a lot – is the ability to stretch the on premise databases to an Azure environment.
This blogpost will cover some of the aspects of this – including:
Let’s continue the hybrid saga! After two articles talking about the Azure Blob Storage and what we can do using it, it’s time to check an alternative solution, that does the same of what was presented in the last article (a Hybrid Database used as archival solution for who didn’t read). This time we are not using the Azure Blob Storage, but we are still using Azure!
The feature is…Stretch Database
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