Azure SQL Database—a cloud-based service model provides a platform to back up the data and ensure to keep the business up-and-running even after the disaster. The data is vital and backup of the data revolves around the process of backup, restoration, recovery, Business-Continuity-Plans (BCP), and disaster recovery (DR). In this article, we will learn:
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In this article, we will learn an approach to source data from AWS Redshift and populate it in the Azure SQL database, where this data can be used with other data on the SQL Server for desired purposes.
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In this article, you will learn how to export data from Azure SQL Database to Azure Data Lake Storage using Azure Data Factory.
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The recent trend proves that the adoption of the Cloud has much greater significance and importance in modernizing IT. If you are working on migrating the on-premises SQL Server to Microsoft Azure cloud, you need to have a better understanding of the key differences between Azure SQL databases and SQL Server on Azure VMs and options that work best for you.
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This article will talk about loading data into Azure SQL databases from Azure Blob Storage with the help of Azure Data Factory.
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This article will discuss one of the powerful analytics services in Azure – Azure Synapse Analytics, along with its components, features, security, and more.
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In this article, we will learn cloning an Azure SQL Database.
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In this article, we will take a look at how to create a serverless Azure SQL database.
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In this article, we will learn to create an Azure SQL Database with built-in sample data.
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In this article, we will see different methods to copy the Azure SQL database. With the advent of all the business dynamics available in today’s IT industry, there is a huge paradigm shift towards automation. You need to constantly innovate and keep moving forward.
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There are plenty of tools out in the market to manage Azure Cloud platform— Azure Management Web portal, Visual Studio, Visual Studio Code with Azure Studio SDK, Azure PowerShell, Azure CLI, and Azure Cloud Shell.
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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.
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This article is next in the Azure Databricks series, where we will learn how to connect data in Azure Databricks to the Power BI Desktop. We will also talk briefly about visualizations in the Databricks service.
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In this article, you will learn about Azure SQL Database and its uses. Then the article splits into two sets of tutorials. The first part will show you how to create a single database in Azure SQL Database. The second tutorial will show you how to build an ASP.NET app in Azure SQL Database.
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In this article, we will learn how we can load data into Azure SQL Database from Azure Databricks using Scala and Python notebooks.
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We introduced Azure Databricks, how it is created and some of its important components in my previous article here. We will look at how we can work with Azure Blob Storage in Azure Databricks in this article.
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In this article, I am going to explain how we can access the data from the Azure Blob Storage using Power BI. To do that, we are going to use the below tools:
In this article, I am going to explain how we can split the data within the excel file and upload it to the tables created on the Azure SQL database.
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In this article, I have explained the step by step process of migrating data from SQL Server to Azure Cosmos database. To perform database migration, we will proceed in the following manner:
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This article discusses what exactly an Azure Data Explorer is and its important features. We will also walk through the Kusto query language and explore a sample data in the Data Explorer in Azure.
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This article talks about Azure Data Catalog and how data professionals can use it to locate, understand and consume data sources.
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AzCopy is a command-line tool that is used to upload and download blobs/files from or to the Azure Blob Storage. In this article, I am going to explain how we can use it to create a new container on Azure blob storage and upload the data from the local machine to the Azure blob storage.
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This article explains one of the important data protection features in Azure Blob Storage – Soft Delete, which helps to recover data that is accidentally deleted in blobs or blob snapshots.
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In this article, we will uncover the basics of the Azure SQL Database.
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This article explains the process of installing the AdventureWorks2016 and AdventureWorksDW2016 sample database on a stand-alone instance of SQL Server and Azure SQL Server. The sample databases were published by Microsoft to demonstrate how to design a database using SQL Server. Microsoft has also published another lightweight database named AdventureworksLT, which can be used as a sample database on Azure SQL Server.
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