In this article, the steps to connect to remote MySQL databases using Secure Sockets Layer (SSL) will be shown. MySQL is one of the most popular relational database management systems and by default, is configured to accept only connections from the machine where MySQL is installed. To connect to the MySQL database which sits on another machine, the additional configuration must be set to accept the remote connection with secure SSL encryption.
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In this article, it will be shown how to install MySQL 5.7 and 8.0.19 versions on an Ubuntu 18.04 machine.
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In this article, it will be described how to connect to remote MySQL Server on Linux OS using SSH key pairs. Windows OS will be used as a host from which will be established a connection using PuTTY as a client. Besides using PuTTY as a client for establishing the connection to remote machines, it will be used to generate and use secure shell – SSH keys as well.
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This article will explain how to set up a connection from a Windows host OS using a PuTTY client to a remote MySQL server on Linux Ubuntu 18.04.
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This article will guide you with all the necessary steps to successfully create a linked server in SSMS to connect to the MySQL database.
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This article will provide a review of SQL code formatting using the SQL formatter options in SSMS
Nobody likes to read a large amount of text, even when it’s just a plain one. When reading SQL script where there is a large amount of non-formatted SQL code, the problem becomes even bigger.
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Deleting or changing objects may affect other database objects like views or procedures that depends on them and in certain instances, can “break” the depending object. An example can be that if a View queries a table and the name of that table changes. The View will no longer function.
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SQL Data Sync allows you to synchronize data across multiple Azure SQL databases and on-premises SQL Server databases.
In this article, how to synchronize Azure SQL database with on-premises SQL Server database will be shown.
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SQL Data Sync is a service that allows synchronizing data across multiple Azure SQL databases and on-premises SQL Server databases.
In this article, a base concept of how the SQL Data Sync service works will be explained as well as what the requirements and limitations are when want to create data synchronization by using SQL Data Sync
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Every DBA knows that database grows over time and that the growth never stops. The more data is in the database, the more time (work) SQL Server is needed in order to deal with it. From SQL Server 2008 on, new tools are available in order to help DBAs to reduce the size of database.
This article will describe SQL Server data compression and the SSMS Data Compression Wizard will be explained.
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Azure Data Studio is free, lightweight database development and operations cross-platform tool for private and commercial usage, that can be installed on Windows, macOS, and Linux for SQL Server, Azure SQL Database and Azure SQL Data Warehouse.
Azure Data Studio is built to simplify work of database developers, database administrators, and system administrators. Azure Data Studio boosts your productivity with smart code snippets, keyword completion, IntelliSense, source control integration, the ability to view and save results in CSV, Excel, JSON format, and the capability to organize and manage favorite database connections, etc. The first version of Azure Data Studio was released in November 2017.
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The OpenQueryStore is an Open source implementation of the popular Query store functionality introduced in SQL Server 2016 CTP2. The OpenQueryStore was first introduced in June 2017. Its main contributors are William Durkin and Enrico van de Laar
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The SQL Server Query Store is a relatively new feature introduced in SQL Server 2016. It is basically a SQL Server “flight recorder” or “black box”, capturing a history of executed queries, query runtime execution statistics, execution plans etc. against a specific database. This information helps in identifying performance problems caused by query plan changes and troubleshooting by quickly finding performance differences, even after SQL Server restart or upgrade. All data that SQL Server Query Store capture are stored on disk.
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In this article, we will illustrate how to export SQL Server data into a Flat file, by using the SQL Server Import and Export Wizard. We will also explain some of the problems that may appear during the process of exporting SQL Server data into a Flat file.
To start the SQL Server Import and Export Wizard, use one of the following ways form the How to import/export data to SQL Server using the SQL Server Import and Export Wizard page.
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There are many ways to import data from an Excel file to a SQL Server database using:
In this article, steps for importing data from an Excel file to a SQL Server database will be explained using the SQL Server Import and Export Wizard including some of problems that can occur during the processes.
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This article will explain the steps for importing and exporting data using the SQL Server Import and Export Wizard.
Depending on the options that are selected in the SQL Server Import and Export Wizard, some steps may be different than those described in this article.
For the purpose of this example, exporting data from the SQL Server database to an Excel file will be shown.
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Import Flat File wizard is a new feature implemented in SQL Server Management Studio (SSMS) v17.3 for importing a .csv or a .txt file into a SQL Server database.
The latest SSMS version can be found on this link
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Linked servers allow to access data from another SQL Server or another data source (e.g. Excel) by using SQL Server Management Studio (SSMS) or Transact-SQL.
This article will explain how to create and configure a linked server to retrieve data from an Azure SQL database. Also, we will explain how to solve some common problems/issues during the process of creating a linked server to an Azure SQL database.
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Microsoft Open Database Connectivity (ODBC) is an application programming interface (API) designed to access data from a different of database management systems (DBMS). ODBC is designed for relational data stores.
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Linked servers allow SQL Server access to data from a remote data source. A remote data source can be another SQL Server instance or other data sources such MySQL, Access databases, Oracle, Excel workbooks, text files etc.
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Linked servers allow getting data from a different SQL Server instance using single T-SQL statement.
This article will explain how to create, configure and drop a SQL Server linked server using system stored procedures.
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Linked servers allow submitting a T-SQL statement on a SQL Server instance, which returns data from other SQL Server instances. A linked server allows joining data from several SQL Server instances using a single T-SQL statement when data exists on multiple databases on different SQL instances. By using a linked server to retrieve data from several SQL instances, the only thing that should be done is to connect to one SQL instance.
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Microsoft SQL Server Express LocalDB is intended for developers, it is very easy to install and doesn’t require any complex configuration task to create an instance or to use the database. The Introduction on the installation of Local DB be found on “How to install Microsoft SQL Server Express LocalDB” article.
This article will show different ways of connecting to LocalDB and how to create and use an instance of LocalDB.
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Microsoft SQL Server Express LocalDB, a solution primarily intended for developers, is a lightweight version of SQL Server Express. It is very easy to install and set up. The installation copies a minimum set of files which are necessary to start SQL Server Database Engine. LocalDB supports the same T-SQL language and has the same limitations as SQL Server Express.
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JSON is an abbreviation for JavaScript Object Notation. JSON is very popular and currently the most commonly used data exchange format. Most modern web and mobile services return information formatted as JSON text, all database web services, web browsers (Firefox, Internet Explorer) return results formatted as JSON text or accept data formatted as JSON. Since external systems format information as JSON text, JSON is also stored in SQL Server 2016 as text. You can use standard NVARCHAR columns to store JSON data in SQL Server 2016.
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