Microsoft Azure Automation service provides a framework to create and schedule workflows to simplify the repetitive and mundane tasks that Cloud administrators perform with Azure. The workflows are commonly known as run-books.
Introduction We will be discussing one of the most common Data Reduction Technique named Principal Component Analysis in Azure Machine Learning in this article. After discussing the basic cleaning techniques, feature selection techniques in previous articles, now we will be looking at a data reduction technique in this article.
In this article, we will learn to upload the excel file to Azure blob storage using SQL Server Integration Service Package. The excel file contains the output of a T-SQL query. This article is a small demonstration that gives some idea about the Azure Blob Upload task and how it can be used to upload […]
Introduction After discussing cleansing and prediction aspects in Azure Machine Learning, we will dedicate this article to another important feature, which is Feature Selection in Azure Machine Learning.
In this article, we will discuss a number of questions that you may face when being interviewed to a Microsoft Azure Data Engineer position. These questions will focus on the process of migrating the SQL Server databases from the on-premises instances to the Microsoft Azure database services.
In this article, I am going to explain how we can export the data of the on-premise MySQL database to Azure SQL database. This task can be performed in two phases.
In this article, we are going to learn how we can back up the SQL database to Azure using a database maintenance plan. To demonstrate the process, I have restored the AdventureWorks2017 database on my workstation. I have created an Azure container named sqlbackups in my storage account.
In the previous two trips of this articles series, databases trip to SQL Server on Azure VM and to Azure SQL Database, we discussed the benefits of migrating your on-premises SQL Server databases to the Microsoft Azure database platforms and the methods that can be followed to migrate the on-premises databases to the Azure database […]
In the previous article of this series, Migrate SQL workloads to Microsoft Azure: Databases trip to SQL Server on Azure VM, we went through the methods that can be used for assessing your on-premises SQL Server databases before the migration process then migrating it to a SQL Server instance hosted in a Microsoft Azure VM.
Introduction Microsoft Azure offers hundreds of cloud products, with more on the way. In the database space, Microsoft offers Azure Cosmos DB, a NoSQL database product. We can build Java, .Net, etc. applications around Cosmos DB resources. To extend this capability, this article will show how to query Cosmos DB directly from SQL Server.
In the previous articles of this series, we built the bridge that leads us to the best way of migrating our SQL workload to Microsoft Azure, by showing how to create the databases migration strategy that contains a deep study of the current environment and the available options in Azure to replace the on-premises setup, […]
In the previous articles of this series we discussed how to draw the initial strategy when planning to migrate the SQL workload to Microsoft Azure, the different database target platforms provided by Microsoft Azure that can be used as a migration target, based on the workload type, and finally, we went through some tools that […]
In the previous articles, Migrating SQL workloads to Microsoft Azure: Planning the jump and Migrating SQL workloads to Microsoft Azure: Services Selection, we discussed the steps that you should follow when you start thinking loudly that you need to migrate your SQL workload to Azure, by checking your on-prem site and the available services and […]
Using Azure SQL Analytics, you will rediscover the new ways to manage the Azure SQL Database. Microsoft is driving an intelligent platform to provide seamless collaboration for all their end users to business analysts, by building an effective Log Analytics stack and intelligent insight through dashboards.
In the previous article, Migrating SQL workloads to Microsoft Azure: Planning the jump, we discussed the main points that should be checked and considered while drawing your plan to migrate the SQL workload from the on-premises datacenters to Microsoft Azure. In this article, we will go through the different database services that are provided by […]
In this article, we will discuss several points that should be considered when planning to migrate the on-premises SQL workload to Microsoft Azure cloud services. This article is the first step in a series of articles that discuss how to perform the SQL and No-SQL workload migration smoothly to the cloud.
Introduction After discussing the basic features of Azure Machine Learning and how to clean the data from Azure Machine Learning, let us look at how to perform prediction in Azure Machine Learning. Prediction is one of the important aspects of Machine Learning as it will help to make strategic decisions.
In this article, I am going to explain how we can automate the index and statistics maintenance of Azure SQL Database using an Elastic Job Agent.
In this article, we are going to build a small python application and deploy it to Azure Functions. The development and the deployment will be done using the Visual Studio (VS) Code. As you might be aware, VS Code is one of the most widely used and preferred code editors for programmers. It is a […]
This article gives an insight into the terms in the Git repository of Azure Data Studio. In the previous articles, we learned the following things:
In the last article, Source Control using Git in Azure Data Studio (ADS), we explored the following topics: The requirement of Source control for SQL scripts Git installation on Windows Integrate Git in Azure Data Studio Create Git repository, add SQL scripts, modify files, commit into source control View different versions using the Git timelines […]
Introduction After discussing the basic features of Azure Machine Learning in my previous article, Introduction to Azure Machine Learning using Azure ML Studio, we will look at techniques of data cleansing in Azure Machine Learning. Data Cleansing or Data Cleaning is an important aspect when it comes to predicting as quality data will improve the […]
Azure Data Studio is a tool for both developers and database administrators with exciting features. You can install ADS on both Windows and Linux platforms. You can go through various Azure Data Studio articles on SQLShack to be comfortable with the tool and its features.
In this article, we will discuss and understand a method to migrate an on-premises SQL Server database to the Azure SQL database.
Azure Data Studio extensions enable adding new functionality for development and administrative tasks. It is an open-source functionality and allows Microsoft as well as third party extensions using Marketplace. We explored a few useful extensions in the Azure Data Studio category of articles.
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