A .NET Framework data provider is used for connecting to a database, executing commands, and retrieving results. Those results are either processed directly, placed in a DataSet in order to be exposed to the user as needed, combined with data from multiple sources, or remoted between tiers. .NET Framework data providers are lightweight, creating a minimal layer between the data source and code, increasing performance without sacrificing functionality.

The .NET Framework Data Provider for SQL Server (SqlClient) uses its own protocol to communicate with SQL Server. It is lightweight and performs well because it is optimized to access a SQL Server directly without adding an OLE DB or Open Database Connectivity (ODBC) layer. The following illustration contrasts the .NET Framework Data Provider for SQL Server with the .NET Framework Data Provider for OLE DB. The .NET Framework Data Provider for OLE DB communicates to an OLE DB data source through both the OLE DB Service component, which provides connection pooling and transaction services, and the OLE DB provider for the data source.


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The EntityClient provider is used for accessing data based on an Entity Data Model (EDM). Unlike the other .NET Framework data providers, it does not interact directly with a data source. Instead, it uses Entity SQL to communicate with the underlying data provider. For more information, see EntityClient Provider for the Entity Framework.

ADO.NET separates data access from data manipulation into discrete components that can be used separately or in tandem. ADO.NET includes .NET Framework data providers for connecting to a database, executing commands, and retrieving results. Those results are either processed directly, placed in an ADO.NET DataSet object in order to be exposed to the user in an ad hoc manner, combined with data from multiple sources, or passed between tiers. The DataSet object can also be used independently of a .NET Framework data provider to manage data local to the application or sourced from XML.

The ADO.NET classes are found in System.Data.dll, and are integrated with the XML classes found in System.Xml.dll. For sample code that connects to a database, retrieves data from it, and then displays that data in a console window, see ADO.NET Code Examples.

ADO.NET provides functionality to developers who write managed code similar to the functionality provided to native component object model (COM) developers by ActiveX Data Objects (ADO). We recommend that you use ADO.NET, not ADO, for accessing data in your .NET applications.

ADO.NET provides the most direct method of data access within the .NET Framework. For a higher-level abstraction that allows applications to work against a conceptual model instead of the underlying storage model, see the ADO.NET Entity Framework.

Datasets and related classes are legacy .NET Framework technologies from the early 2000s that enable applications to work with data in memory while the applications are disconnected from the database. They are especially useful for applications that enable users to modify data and persist the changes back to the database. Although datasets have proven to be a very successful technology, we recommend that new .NET applications use Entity Framework Core. Entity Framework provides a more natural way to work with tabular data as object models, and it has a simpler programming interface.

If you need to maintain 32-bit applications that connect to Access databases, you will still be able to build and run the application with Visual Studio 2022. However, if you need to use any of the Visual Studio Data Tools such as Server Explorer, Data Source Wizard, or the DataSet Designer, you will need to use an earlier version of Visual Studio that is still a 32-bit process. The last version of Visual Studio that was a 32-bit process was Visual Studio 2019.

At Microsoft Build, the company also introduced new tools to simplify the development of copilots. For example, with the new Azure AI Studio, developers can now more easily ground conversational AI models on their private data. With a new capability called Azure OpenAI Service on your data, developers can uncover organization-specific insights from data, text and images using natural language-based application interfaces. To further extend the capabilities of large language models, Microsoft also announced support for plugins with Azure OpenAI Service. Azure AI also now supports Azure Machine Learning prompt flow, a sophisticated prompt engineering tool, noted Montgomery.

In addition, Microsoft announced new media provenance capabilities coming to Microsoft Designer and Bing Image Creator that will enable users to verify whether an image or video was generated by AI. The technology uses cryptographic methods to mark and sign AI-generated content with metadata about its origin.

About four years ago, Scott and his colleagues hypothesized that generative AI systems based on large language models would become platforms. They would allow developers to build new applications and services with relatively little effort compared to more classical forms of machine learning that require getting data, choosing a model, training it, testing it, deploying it and so on.

Using a 9GB Amazon review data set, ML.NET trained a sentiment analysis model with 95% accuracy. Other popular machine learning frameworks failed to process the dataset due to memory errors. Training on 10% of the data set, to let all the frameworks complete training, ML.NET demonstrated the highest speed and accuracy.

I have re-installed .NET framework and restarted the server and tried creating the data source and this time the error changed and it was saying something in the lines of there is an extra DbProviderFactories and from a quick web search I found this link that we need to edit the machine.config file to remove the extra entry of DbProviderFactories and I did the same and restarted the server and it worked like charm.

Microsoft collects data from you, through our interactions with you and through our products. You provide some of this data directly, and we get some of it by collecting data about your interactions, use, and experiences with our products. The data we collect depends on the context of your interactions with Microsoft and the choices you make, including your privacy settings and the products and features you use. We also obtain data about you from third parties.

You have choices when it comes to the technology you use and the data you share. When we ask you to provide personal data, you can decline. Many of our products require some personal data to provide you with a service. If you choose not to provide data -required to provide you with a product or feature, you cannot use that product or feature. Likewise, where we need to collect personal data by law or to enter into or carry out a contract with you, and you do not provide the data, we will not be able to enter into the contract; or if this relates to an existing product you are using, we may have to suspend or cancel it. We will notify you if this is the case at the time. Where providing the data is optional, and you choose not to share personal data, features like personalization that use such data will not work for you.

The data we collect depends on the context of your interactions with Microsoft and the choices you make (including your privacy settings), the products and features you use, your location, and applicable law.

When we process personal data about you, we do so with your consent and/or as required to provide the products you use, operate our business, meet our contractual and legal obligations, protect the security of our systems and our customers, or fulfill other legitimate interests of Microsoft as described in this section and in the Reasons we share personal data section of this privacy statement. When we transfer personal data from the European Economic Area, we do so based on a variety of legal mechanisms, as described in the Where we store and process personal data section of this privacy statement.

We share your personal data with your consent or to complete any transaction or provide any product you have requested or authorized. We also share data with Microsoft-controlled affiliates and subsidiaries; with vendors working on our behalf; when required by law or to respond to legal process; to protect our customers; to protect lives; to maintain the security of our products; and to protect the rights and property of Microsoft and its customers.

In addition, we share personal data among Microsoft-controlled affiliates and subsidiaries. We also share personal data with vendors or agents working on our behalf for the purposes described in this statement. For example, companies we've hired to provide customer service support or assist in protecting and securing our systems and services may need access to personal data to provide those functions. In such cases, these companies must abide by our data privacy and security requirements and are not allowed to use personal data they receive from us for any other purpose. We may also disclose personal data as part of a corporate transaction such as a merger or sale of assets.

If your organization, such as your employer, school, or service provider, provides you with access to and is administering your use of Microsoft products, contact your organization to learn more about how to access and control your personal data.

You can access and control your personal data that Microsoft has obtained, and exercise your data protection rights, using various tools we provide. The tools most useful to you will depend on our interactions with you and your use of our products. Here is a general list of tools we provide to help you control your personal data; specific products may provide additional controls. 0852c4b9a8

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