In the article How to create an Azure SQL Database using the Cloud Shell, we learned how to work with the Cloud Shell. In this new article, we will show how to automate Azure Active Directory tasks (AAD) using the Cloud Shell. We will work with loops, files and variables to automate tasks.
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By default, when someone creates an Azure SQL Server, an Administrator with SQL Authentication is created by default. However, for administrative purposes, it is a best practice to use Azure Active Directory.
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One of the recent tasks I undertook on configuring Transparent Data encryption (TDE) using asymmetric key protection with Azure Key Vault with Always On opened a different dimension on securing data for me. Even though it seems slightly complex, if you have the key details, the steps are in fact, really straight forward.
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With the latest versions of Azure SQL database, Microsoft has introduced a number of new mechanisms to help users and administrators better optimize their workload.
Automatic index management and Adaptive query processing provide us with the possibility to rely on the built-in intelligence mechanism that can automatically tune and improve the performance of our workload.
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This article will provide an overview covering programmatically moving databases on the Azure Portal while avoiding common problems with users and logins.
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As we enter an era of artificial intelligence and serverless computing, the tools to help us create perceived intelligent programs have become so advanced and intuitive that the effort in building a fully functional Q and A chat bot has become almost negligible.
In this article, I will show you how to do just that.
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Cloud Shell is a new feature just released on May 2017. It is currently in beta.
The idea behind the Cloud Shell is to run Azure commands using the Azure Portal directly. In the past, it was necessary to install the Azure CLI on a local machine. You could install on a Windows, Linux or a Mac machine or you could use Docker. Now, you can use the Azure Portal.
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Today, it is a common practice to migrate our local data to Azure. Sometimes, we migrate files, sometimes databases and sometimes virtual machines. All the service in the cloud including Azure help a lot to simplify the administrative effort and reduce costs.
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There are several advantages to using Azure storage irrespective of type. Azure storage is easily scalable, extremely flexible and relatively low in cost depending on the options you choose.
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When storing data in the cloud the main concern companies generally have is whether or not their data is safe. And what can be done to ensure that the following 4 scenarios are addressed:
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You have to agree with me, when public clouds were introduced your thought was that you will never put your production data in there. Our idea was that your data is exposed, insecure and vulnerable. This was not the case back then, it is not case at the moment as well.
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Microsoft Azure SQL Database is a managed cloud database for programmers/developers to develop their products easier due to less involvement in maintenance allowing the customer to concentrate on their products, because, most of the data maintenance or infrastructure is taken care by the cloud service providers.
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The Azure SQL Database firewall lets you decide which IP addresses may or may not have access to either your Azure SQL Server or your Azure SQL database.
When creating an Azure SQL Database, the firewall needs to be configured before anyone will be able to access the database. By default, no external access to your SQL Database will be allowed until you explicitly assign permission by creating a firewall rule.
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In our chapter about PolyBase, we presented this new SQL Server 2016 feature to query CSV files stored in Azure Storage accounts. We mentioned that in PolyBase you can query data in Hadoop (HDInsight) using SQL Server. HDInsight is a very popular system in Azure that eventually you will need to interact with if you use SQL Server. That is why we will give an explanation for newbies about it.
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This article will teach you how to install PolyBase and will show you a simple example to start.
PolyBase is a new feature in SQL Server 2016. It is used to query relational and non-relational databases (NoSQL). You can use PolyBase to query tables and files in Hadoop or in Azure Blob Storage. You can also import or export data to/from Hadoop.
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In our first part of this series, we showed how to import a bacpac file using the Azure Portal with Microsoft Azure Storage Explorer (MASE) and SQL Server Management Studio (SSMS) to create a Database in Azure.
In the second part, we will show how to import a bacpac file to create a Database using the sqlpackage.exe tool and PowerShell.
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My name is Ahmad Yaseen and I am a senior SQL Server database administrator at Aramex International Company for more than six years, where I started building my experience in the SQL Server administration field. Being a SQL Server Database administrator in such big company is not that easy, as the difficulties that you may face is not only at the beginning. What makes the DBA job special is that it is a very deep job, in which you will learn new things, have to solve new problems, fall in strange situations and be under pressure every day, but it is an interesting job for me.
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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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