SSDT
The SQL Server Data Tools (SSDT) are part of the Visual Studio IDE. They provide a complete development environment. Developers can perform all operations related to SQL Server without having to leave the IDE. Though SSDT does not have all the features of SSMS, it provides enough functionality to boost developer productivity. Its UI and tools make development easier, and SSDT comes with a wealth of useful examples to help developers get started.
SQL Server Data Tools
SQL Server Data Tools is a powerful development environment for creating reports and other types of data. The tools allow developers to use Azure SQL Server data models, as well as Integration Services packages and Reporting Services. The tools are enterprise-proven and come with built-in intelligence, as well as Windows and Linux compatibility. They also provide 24×7 support.
The tool can compare schemas and compare database changes. This makes it easier to compare database schemas and enables automated deployment and source control. Moreover, it supports declarative schema design, making it easier to compare multiple versions of a database. It can also import a database schema and reverse-engineer it.
Visual Studio supports Report Builder and SQL Server Data Tools. However, you must install these tools on a SQL Server instance. To install them, go to the Visual Studio Marketplace.
SQL Server Integration Services
SQL Server Integration Services is an enterprise-class data transformation and integration platform that can help you build and deploy complex business solutions. The tool can load data from a variety of sources and transform it according to the requirements of your business. SQL Server Integration Services can be used for data integration projects, data warehouses, and workflow applications. To use SQL Server Integration Services, you’ll need a development environment. SQL Server offers two different ways to develop packages: a graphical user interface (GUI) and a command line interface (CLI).
The SSIS GUI provides a friendly interface for configuring a package. Using the tool, you can define tasks and view central logs. In addition, SSIS supports an open source development model and you can reuse packages developed by others. SQL Server 2019 for Linux is the most recent version of SQL Server Integration Services. However, some features are not available in the Linux version.
SQL Server Integration Services can be used to migrate data from different sources to a Microsoft SQL Server database. It also allows you to embed complex business logic in your data. It is a powerful data warehousing tool that is highly flexible and fast. Also it can extract data from a variety of data sources, including Excel files and Oracle and DB2 databases. The tool also comes with graphical tools that facilitate data extraction and management tasks.
SQL Server Reporting Services
SQL Server Reporting Services is a server-based report generating software system that is part of the Microsoft SQL Server suite of services. This software works with SSIS and SSAS. If you are familiar with these two systems, you can use SQL Server Reporting Services to create reports that are easy to use.
To begin using SQL Server Reporting Services, you need to install and configure the software. Fortunately, the software is very easy to configure. To do so, follow these steps. First, install SQL Server and Visual Studio. After installing both, open the report creation environment and create a new project. After that, click OK to proceed.
Next, configure Windows Authentication on the reporting server. This will enable Kerberos security protocols. This will ensure that reports only show data that individual users are allowed to see. You will also need to enable the service account user.
Azure SQL Database
The Azure SQL Database is a cloud-based managed database provided by Microsoft. It is one of the many Microsoft Azure services. It offers a comprehensive set of features and benefits that you can use to create and manage a data warehouse. This database is managed and backed by Microsoft and is a great alternative to onpremises databases. It also offers a range of advanced features, such as replication and security. It is also an excellent choice for small businesses and enterprises.
Azure SQL Database pricing models are simple and flexible, depending on your needs. In most cases, you’ll pay for the number of Database Transaction Units (DTUs) that your database uses. This amount is calculated according to how often your database is used, so you can choose the pricing model that fits your needs.
The Azure SQL Database supports elastic queries and cross-querying. With elastic queries, you can query data across data tiers and connect to Microsoft tools like PowerBI or Tableau. You can even use the same database across different Azure SQL databases. This enables you to securely migrate and share data across databases.