CData Drivers for LinkedIn ensure effortless integration, providing easy access to LinkedIn account data and live search results for BI, reporting, analytics, ETL tools, and custom applications. Users can access live LinkedIn data from anywhere, making it a versatile solution for diverse needs.
With unparalleled query performance, CData Drivers for LinkedIn seamlessly integrates with preferred analytics tools, offering a swift connection for real-time LinkedIn data in BI, analytics, reporting, and data visualization technologies.
CData's LinkedIn integration solutions extend robust support for ETL, replication, and warehousing, enhancing operational reporting, query offloading, and performance improvement. Supporting popular database protocols such as ODBC, JDBC, and ADO.NET, simplifies LinkedIn data management across various applications, ensuring ease of use for developers and efficient application development. Advanced features like a virtual database abstraction layer and support for query federation enhance data virtualization processes on LinkedIn data.
This package includes the following components:
- Excel Add-In for LinkedIn
- LinkedIn ADO.NET Provider
- LinkedIn BizTalk Adapter
- LinkedIn Data Cmdlets
- LinkedIn FireDAC Components
- LinkedIn JDBC Driver
- LinkedIn MuleSoft Connector
- LinkedIn ODBC Driver
- LinkedIn Power BI Connector
- LinkedIn SSIS Components
- LinkedIn Tableau Connector
Key Features of CData Drivers for LinkedIn :
- Seamless integration with LinkedIn account data and live search results
- Easy incorporation of LinkedIn data into BI, reporting, analytics, ETL tools, and custom applications
- Access live LinkedIn data from anywhere
- Unmatched query performance for real-time LinkedIn data in BI, analytics, reporting, and data visualization technologies
- Robust support for ETL, replication, and warehousing
- Compatibility with popular database protocols: ODBC, JDBC, and ADO.NET
- Seamless connection with workflow and automation tools such as BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and more
- Data-centric model for simplified integration and efficient application development
- Advanced features, including a virtual database abstraction layer and support for query federation through capabilities like query delegation and predicate pushdown
