- Data access is the process of entering a database to store or retrieve data. Data Access Tools are end user oriented tools that allow users to build structured query language (SQL) queries by pointing and clicking on the list of table and fields in the data warehouse.
- Microsoft Data Access Components (MDAC) 2.8 SP1 contains core Data Access components such as the Microsoft SQL Server™ OLE DB provider and ODBC driver.
- Microsoft Data Access Tool Download
- Ms Access Data Modeling Tool
- Microsoft Data Access Tool Windows 10
- Microsoft Data Access Tool Db2
Very simply, Microsoft Access is an information management tool that helps you store information for reference, reporting, and analysis. Microsoft Access helps you analyze large amounts of information, and manage related data more efficiently than Microsoft Excel or other spreadsheet applications.
- MS Access Tutorial
- MS Access Useful Resources
- Selected Reading
Microsoft Access is a Database Management System (DBMS) from Microsoft that combines the relational Microsoft Jet Database Engine with a graphical user interface and softwaredevelopment tools. It is a member of the Microsoft Office suite of applications, included in the professional and higher editions.
Microsoft Access is just one part of Microsoft’s overall data management product strategy.
It stores data in its own format based on the Access Jet Database Engine.
Like relational databases, Microsoft Access also allows you to link related information easily. For example, customer and order data. However, Access 2013 also complements other database products because it has several powerful connectivity features.
It can also import or link directly to data stored in other applications and databases.
As its name implies, Access can work directly with data from other sources, including many popular PC database programs, with many SQL (Structured Query Language) databases on the desktop, on servers, on minicomputers, or on mainframes, and with data stored on Internet or intranet web servers.
Access can also understand and use a wide variety of other data formats, including many other database file structures.
You can export data to and import data from word processing files, spreadsheets, or database files directly.
Access can work with most popular databases that support the Open Database Connectivity (ODBC) standard, including SQL Server, Oracle, and DB2.
Software developers can use Microsoft Access to develop application software.
Microsoft Access stores information which is called a database. To use MS Access, you will need to follow these four steps −
Database Creation − Create your Microsoft Access database and specify what kind of data you will be storing.
Data Input − After your database is created, the data of every business day can be entered into the Access database.
Query − This is a fancy term to basically describe the process of retrieving information from the database.
Report (optional) − Information from the database is organized in a nice presentation that can be printed in an Access Report.
Access calls anything that can have a name an object. Within an Access desktop database, the main objects are tables, queries, forms, reports, macros, data macros, and modules.
If you have worked with other database systems on desktop computers, you might have seen the term database used to refer to only those files in which you store data.
But, in Access, a desktop database (.accdb) also includes all the major objects related to the stored data, including objects you define to automate the use of your data.
In Visual Studio, you can create applications that connect to data in virtually any database product or service, in any format, anywhere—on a local machine, on a local area network, or in a public, private, or hybrid cloud.
The following lists show just a few of the many database and storage systems that can be used from Visual Studio. The Microsoft Azure offerings are data services that include all provisioning and administration of the underlying data store. The Azure development workload in Visual Studio 2017 enables you to work with Azure data stores directly from Visual Studio.
The following lists show just a few of the many database and storage systems that can be used from Visual Studio. The Microsoft Azure offerings are data services that include all provisioning and administration of the underlying data store. The Azure development workload in Visual Studio 2019 enables you to work with Azure data stores directly from Visual Studio.
Most of the other SQL and NoSQL database products that are listed here can be hosted on a local machine, on a local network, or in Microsoft Azure on a virtual machine. If you host the database in a Microsoft Azure virtual machine, you're responsible for managing the database itself.
- SQL Database
- Azure Cosmos DB
- Storage (blobs, tables, queues, files)
- SQL Data Warehouse
- SQL Server Stretch Database
- And more..
- SQL Server 2005-2016 (includes Express and LocalDB)
- And more..
- Apache Cassandra
- And more..
Many database vendors and third parties support Visual Studio integration by NuGet packages. You can explore the offerings on nuget.org or through the NuGet Package Manager in Visual Studio (Tools > NuGet Package Manager > Manage NuGet Packages for Solution). Other database products integrate with Visual Studio as an extension. You can browse these offerings in the Visual Studio Marketplace or by navigating to Tools > Extensions and Updates and then selecting Online in the left pane of the dialog box. For more information, see Compatible database systems for Visual Studio.
Many database vendors and third parties support Visual Studio integration by NuGet packages. You can explore the offerings on nuget.org or through the NuGet Package Manager in Visual Studio (Tools > NuGet Package Manager > Manage NuGet Packages for Solution). Other database products integrate with Visual Studio as an extension. You can browse these offerings in the Visual Studio Marketplace or by navigating to Extensions > Manage Extensions and then selecting Online in the left pane of the dialog box. For more information, see Compatible database systems for Visual Studio.
Extended support for SQL Server 2005 ended on April 12, 2016. There is no guarantee that data tools in Visual Studio 2015 and later will continue to work with SQL Server 2005. For more information, see the end-of-support announcement for SQL Server 2005.
All .NET data access, including in .NET Core, is based on ADO.NET, a set of classes that defines an interface for accessing any kind of data source, both relational and non-relational. Visual Studio has several tools and designers that work with ADO.NET to help you connect to databases, manipulate the data, and present the data to the user. The documentation in this section describes how to use those tools. You can also program directly against the ADO.NET command objects. For more information about calling the ADO.NET APIs directly, see ADO.NET.
For applications in which you are not processing huge amounts of data or performing complex queries or transformations. A DataSet object consists of DataTable and DataRow objects that logically resemble SQL database objects much more than .NET objects. For relatively simple applications based on SQL data sources, datasets might still be a good choice.
There is no requirement to use any of these technologies. In some scenarios, especially where performance is critical, you can simply use a DataReader object to read from the database and copy the values that you need into a collection object such as List<T>.
C++ applications that connect to SQL Server should use the Microsoft® ODBC Driver 13.1 for SQL Server in most cases. If the servers are linked, then OLE DB is necessary and for that you use the SQL Server Native Client. You can access other databases by using ODBC or OLE DB drivers directly. ODBC is the current standard database interface, but most database systems provide custom functionality that can't be accessed through the ODBC interface. OLE DB is a legacy COM data-access technology that is still supported but not recommended for new applications. For more information, see Data Access in Visual C++.
C++ programs that consume REST services can use the C++ REST SDK.
Microsoft Data Access Tool Download
C++ programs that work with Microsoft Azure Storage can use the Microsoft Azure Storage Client.
Ms Access Data Modeling Tool
Data modeling—Visual Studio does not provide an ORM layer for C++. ODB is a popular open-source ORM for C++.
Microsoft Data Access Tool Windows 10
To learn more about connecting to databases from C++ apps, see Visual Studio data tools for C++. For more information about legacy Visual C++ data-access technologies, see Data Access.
Install Python support in Visual Studio to create Python applications. The Azure documentation has several tutorials on connecting to data, including the following:
- Work with blobs, files, queues, and tables (Cosmo DB).
Microsoft AI platform—Provides an introduction to the Microsoft intelligent cloud, including Cortana Analytics Suite and support for Internet of Things.
Microsoft Azure Storage—Describes Azure Storage, and how to create applications by using Azure blobs, tables, queues, and files.
Azure SQL Database—Describes how to connect to Azure SQL Database, a relational database as a service.
SQL Server Data Tools—Describes the tools that simplify design, exploration, testing, and deploying of data-connected applications and databases.
ADO.NET—Describes the ADO.NET architecture and how to use the ADO.NET classes to manage application data and interact with data sources and XML.
Microsoft Data Access Tool Db2
ADO.NET Entity Framework—Describes how to create data applications that allow developers to program against a conceptual model instead of directly against a relational database.
WCF Data Services 4.5—Describes how to use WCF Data Services to deploy data services on the web or an intranet that implement the Open Data Protocol (OData).
Philippine treasures (documentary). Data in Office Solutions—Contains links to topics that explain how data works in Office solutions. This includes information about schema-oriented programming, data caching, and server-side data access.
LINQ (Language-Integrated Query)—Describes the query capabilities built into C# and Visual Basic, and the common model for querying relational databases, XML documents, datasets, and in-memory collections.
XML Tools in Visual Studio—Discusses working with XML data, debugging XSLT, .NET XML features, and the architecture of XML Query.
XML Documents and Data—Provides an overview to a comprehensive and integrated set of classes that work with XML documents and data in .NET.