![]() If you’re looking to simplify data integration, and don’t want the hassle of spinning up servers, managing resources, or setting up Spark clusters, we have the solution for you.ĪWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. Most organizations use Spark for their big data processing needs. This is one of the key reasons why organizations are constantly looking for easy-to-use and low maintenance data integration solutions to move data from one location to another or to consolidate their business data from several sources into a centralized location to make strategic business decisions. Data integration becomes challenging when processing data at scale and the inherent heavy lifting associated with infrastructure required to manage it. Data is growing exponentially and is generated by increasingly diverse data sources. Secure Connectivity: Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.Organizations are placing a high priority on data integration, especially to support analytics, machine learning (ML), business intelligence (BI), and application development initiatives. These customizations are supported at runtime using human-readable schema files that are easy to edit. Popular examples include Regex, JSON, and XML processing functions.Ĭollaborative Query Processing: Our drivers enhance the data source's capabilities by additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.Įasily Customizable and Configurable: The data model exposed by our ADO.NET Providers can easily be customized to add or remove tables/columns, change data types, etc. String, Date, Numeric SQL Functions: The driver includes a library of 50 plus functions that can manipulate column values into the desired result. The replication commands include many features that allow for intelligent incremental updates to cached data. Replication and Caching: Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. Powerful ADO.NET Features: Including support for ADO.NET Entity Framework (EF 5 & 6), ADO.NET 2.0, LINQ to Datasets, etc. NET Framework 2.0 and beyond.ĭeveloper Friendly: Seamless integration with all versions of Visual Studio. NET: 100% fully managed ADO.NET libraries supporting. ![]() Your end-users can interact with the data presented by the Amazon Redshift Data Provider as easily as interacting with a database table. More Than Read-Only: Full Update/CRUD SupportĪmazon Redshift Data Provider goes beyond read-only functionality to deliver full support for Create, Read, Update, and Delete operations (CRUD). Because of this you can now access Redshift data in an easy, familiar way. ![]() ![]() NET data providers for SQL Server and OLEDB, including: RedshiftConnection, RedshiftCommand, RedshiftDataAdapter, RedshiftDataReader, RedshiftDataSource, RedshiftParameter, etc. The Amazon Redshift Data Provider has the same ADO.NET architecture as the native. Working with DataAdapters, DataSets, DataTables, etc. The CData ADO.NET Provider for Amazon Redshift hides the complexity of accessing data and provides additional powerful security features, smart caching, batching, socket management, and more. Applications then access Redshift through the Amazon Redshift Data Provider with simple Transact-SQL. The Amazon Redshift Data Provider wraps the complexity of accessing Redshift services in an easy-to-integrate, fully managed ADO.NET Data Provider. You will be able to use the Amazon Redshift Data Provider through Visual Studio Server Explorer, in code through familiar classes, and in data controls like DataGridView, GridView, DataSet, etc. Simply use Amazon Redshift Data Provider objects to connect and access data just as you would access any traditional database. The Amazon Redshift ADO.NET Provider offers the most natural way to access Redshift data from any. NET applications with Amazon Redshift databases!
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