In this article, we will learn how we can automate the backup of SQL database created in SQL Server Express edition. SQL Server Express edition is a lightweight database that has limited functionalities and resource allocation. The SQL Server Express edition does not support SQL Server Agent jobs, so it is tricky to automate various database administration tasks.
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This article configures a long-term backup retention policy for Azure SQL Database.
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This article is dedicated to creating custom differential and Transaction log backups so that you will see sufficient data in the file size. In SQL Server there are mainly three backup types, Full Backup, Differential Backup, and Transactional Log backups. A Full backup will get the entire database into a backup.
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In this article, we are going to learn how we can automate the backup of the SQL database using database maintenance plans. Data is one of the most important assets of any organization, and as a database administrator, it is our prime responsibility to protect it. There are various tools available that can be used to back up the data. These tools use state of the art technology to protect the data, and some of them are very costly. Instead of using these costly tools, some organizations prefer to use SQL native backups. These backups of SQL database can be automated by SQL Server Agent Jobs or Windows’ task scheduler.
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In this article, we will explore how to split native backup and restore for AWS RDS SQL Server from the AWS S3 bucket.
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This article discusses useful considerations for SQL Server Disaster Recovery.
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Data consistency errors are the nightmares of database administrators (DBAs) and when we notice “Could not continue scan with NOLOCK due to data movement” explanation in any error message, we are sure of getting in trouble. In this article, we will discuss the details of this data consistency problem.
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![user database [LinuxAGSQL]](https://s33046.pcdn.co/wp-content/uploads/2020/10/user-database-linuxagsql-624x475.png)
Database professionals get the standard requirement for SQL database restores from production to non-production instances. As you know, SQL Server runs on the Linux and Windows operating systems starting from SQL Server 2016. Suppose you are exploring the SQL Server Linux instance features and configurations.
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In this article, we will explore the method to suppress successful login and backups messages in the error log for SQL databases.
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In this article, we explore the use of manual snapshots in AWS RDS SQL Server.
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In SQL Server, Log Shipping can be used to implement a Data disaster recovery mechanism. Typically, log shipping is used as a disaster recovery option which is implemented at many organizations due to its simplicity among many other factors.
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In the 20th article of the SQL Server Always On Availability Group series, we will explore the process to refresh an availability group database using SQL scripts. In this article, we will use the DBATools commands for this purpose.
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In this article, we will explore taking backups of native SQL databases into the AWS S3 bucket.
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In the previous article, Transparent Data Encryption for SQL Server Always On Availability Groups, we discussed enabling TDE for the existing database in AG. In this article, we will explore options for a compressed backup of a TDE database.
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In this 20th article for the SQL Server Always On Availability Group series, we will cover the steps to restore an existing availability group database.
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In this article, I am going to explain how we can upload the backup file to an FTP Server using the SSIS FTP task. For the demonstration, I have installed SQL Server 2017 on my workstation and restored the AdventureWorks2017 database.
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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.
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Recently, we have received a strange request from our customer. They want us to set up a schedule a backup job that generates a backup of SQL database, compress the backup file in multiple compressed archive files (WinRAR files.) We tried to explain to the customer that the SQL Server native backups are capable of compressing the backup file, and it can split a large and compressed backup into multiple backup files. But they insisted us to use the WinRAR software to compress and split the backup.
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In this article, I am going to explain how we can split the large backup file into multiple small backup files using SSMS 2016. I will also explain how we can combine multiple backups to restore a database and split the backup of the SQL database using SQL Server Management Studio (SSMS).
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This article gives you an overview of creating backups of AWS RDS SQL Server database instances using AWS Backup service.
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In this article, I am going to explain how we can refresh a SQL Database using the Maintenance plan. To demonstrate the process, I have configured two virtual machines. I have installed SQL Server 2016 on both. To refresh the SQL database on destination database server, we will generate a copy-only backup of the SQL database on source database server. I have created a network share directory. Both the source and destination server have the read-write permission on it. The backup file will be copied on a shared directory. Once the database is restored to the destination, we will delete the file from the network share directory.
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In this article, I am going to explain different ways to generate the backup in the MySQL database server. As we know, data is a valuable asset to the organization. As database administrators, it is our primary and crucial job to keep the data available and safe. If the system or data center fails, database corruption, and data loss, we must be able to recover it within the defined SLA.
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In this article, I’m going to explain how to configure an RDS Environment in Amazon Web Services (AWS) for SQL Server. Amazon RDS, also known as the Amazon Relational Database Service, is a Database-as-a-Service offered by Amazon. This enables us to create an instance of a relational database in RDS including many databases like SQL Server, MySQL, PostgreSQL etc. The entire hosting is managed by AWS, so there is no worry to maintain any on-premises data center or infrastructure from the customer’s end.
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This article explores the recovery of data removed by SQL Delete and SQL Truncate statements using SQL database backups.
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This article explores the differential backups in AWS RDS SQL Server using recovery scenarios.
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