Azure SQL Database is a cloud database hosted on Microsoft’s Azure platform. It is an enterprise-grade database service that supports a wide range of advanced features, and it can be used to store and process data. Customers can migrate data from an on-premises SQL Server without downtime and minimal disruption.
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This is the fourth article in the series of Migrating SQL Server Objects using SSDT 2017. In the third article, we learned how we could transfer SQL logins between the servers. In this article, we will learn how to copy error messages to another instance using the Transfer Error Messages Task of SSDT 2017.
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This is the third article in the series of Migrating SQL Server Objects using SSDT 2017. In the second article, we learned how we can transfer the stored procedure of the master database. In this article, we will learn how to copy SQL Logins to another instance using SSDT 2017.
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In this series of articles, we will learn how we can clone the SQL Server instance using SSDT 2017. In my previous article, we learned how to Install and configure SSDT 2017 on Windows 10. In this series of articles, we will migrate the following SQL Server components to another server using SSIS tools provided in SSDT 2017:
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This article teaches how to migrate a lightweight on-premises SQL database to an Azure SQL database using Azure Data Studio.
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In this article, we will explore the Bulk Copy Program tool that is also known as the SQL Server BCP tool. BCP allows us to export data into particular flat-file formats from SQL Server, and it also enables us to transfer data between different SQL Server instances or into the SQL Azure.
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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.
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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 platforms.
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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, which we tried to make it easier by providing all Azure database services and the workload that fits each service, and finally, we introduced several Microsoft tools and services that can be used to assess the current setup, provide migration guidance steps and migrate the databases to Microsoft Azure services with the minimal downtime.
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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 help in discovering and assessing the on-premises environment by identifying the migration blocking issues and providing guidance steps for the migration process.
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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 features in Azure that meet your workload handling requirements. After that, we went through different database services provided by Azure and which one fits a specific workload, in order to make it easy for you to translate the current workload as an Azure service.
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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 Microsoft Azure to help you in selecting the proper service that can serve your SQL workload when migrating it to Microsoft Azure.
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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.
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In this article, I am going to explain how we can create a Power BI Report using the Power BI Desktop and then publish it to the Power BI service workspace. Once the report is published to a workspace, we can also consider migrating the same report across several workspaces and all this can be done programmatically by using the Power BI REST APIs. This article is specially targeted towards Power BI admins or DevOps team whose task is to migrate dashboards between various environments like Development, QA, Production, etc. without any manual intervention of the reports.
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As a SQL Server DBA, we are responsible for moving the customer SQL databases to other servers. Recently, I was assigned the same project. One of the customers wanted to move their SQL database to a separate server. Following were the challenges:
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In the previous article, Start your journey with Azure Cosmos DB, we provided you with the backpack that helps you to start your journey with Azure Cosmos DB and filled it with detailed information about the Cosmos DB usage benefits, how to create your first Cosmos DB account, create a new database, container, and items and finally how to query the data stored in that container.
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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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In this article, I am going to explain how we can transfer logins to the secondary replica of the Always On availability group using sp_help_revlogin and Transfer Logins Task of the SQL Server Integration Services package.
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In-memory technologies are one of the greatest ways to improve performance and combat contention in computing today. By removing disk-based storage and the challenge of copying data in and out of memory, query speeds in SQL Server can be improved by orders of magnitude.
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In this article, we will review how to migrate database from on-premises SQL Server instance to AWS RDS SQL Server instance and between AWS RDS instances using native backup, restore and amazon simple storage service(S3).
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In this article, we will review how to migrate database from on-premise SQL Server instance to AWS RDS SQL Server instance using AWS Database migration service. There are different ways to migrate the database to the AWS RDS instance:
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In this guide, we’ll discuss more about migrating a SQL Server database to Azure SQL Database using SQL Server Transactional Replication.
In this article, you’ll learn the key skills that you need to copy tables between SQL Server instances including both on-premises and cloud SQL databases. In this article, I’ll walk-through several ways of copying a table(s) between SQL databases, helping you to see the benefits and trade-offs of each option.
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The growing importance and complexity of data migration, in an era of exploding data volumes and ever-changing business requirements, means that old approaches will no longer get the job done. We are in a world where everything needs to run instantly. Every Database Administrator or Developer would have definitely heard about database migrations with zero downtime and with zero data loss.
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Intended audience
This document is intended for application developers and database administrators who plan to migrate an Oracle Database to Microsoft SQL Server.
Context
In the previous article, we saw how to install and prepare to migrate one or more Oracle Schema(s) and their objects to SQL Server. Now it’s time to go through the migration process…
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