JDBC Driver for LinkedIn

Build 24.0.9060

CData JDBC Driver for LinkedIn

Overview

The CData JDBC Driver for LinkedIn offers the most natural way to connect to LinkedIn data from Java-based applications and developer technologies. The driver wraps the complexity of accessing LinkedIn data in an easy-to-integrate, 100%-Java JDBC driver. Applications can then access LinkedIn as a traditional database. The driver hides the complexity of accessing data and provides additional powerful security features, smart caching, batching, socket management, and more.

Key Features

  • Write SQL to retrieve and update LinkedIn data.
  • Unparalleled performance and scalability.
  • Codeless integration with popular BI, reporting, and ETL tools.

Getting Started

See Getting Started for A-Z guides on authenticating and connecting to LinkedIn data. See the LinkedIn integration guides for information on connecting from other applications.

NOTE: The license file, cdata.jdbc.linkedin.lic, must be in the same location as the JAR file, cdata.jdbc.linkedin.jar. See the readme file for more information.

Using the JDBC Driver/Using from Tools

See Using JDBC for examples of using standard JDBC classes like DataSource, Connection, Statement, ResultSet, and others, to work with LinkedIn data.

Using from Tools walks through the steps of integration with JDBC tools, using several popular database tools as examples.

Schema Discovery

See Schema Discovery to access schema information through the standard JDBC interfaces. Query the System Tables to access additional metadata, such as data source capabilities.

Advanced Features

Advanced Features details additional features supported by the driver, such as defining user defined views, ssl configuration, remoting, caching, firewall/proxy settings, and advanced logging.

JDBC Remoting

See JDBC Remoting to configure remote access to the JDBC data source. The JDBC remoting feature allows hosting the JDBC connection on a server to enable connections from virtually anywhere -- various clients on any platform (Java, .NET, C++, PHP, Python, and so on) and using any standards-based technology (ODBC, JDBC, and so on). JDBC remoting is enabled using the popular MySQL wire protocol server.

SQL Compliance

See SQL Compliance for a syntax reference and code examples outlining the supported SQL.

Data Model

See Data Model for information on the available entities and how to query them.

Connection String Options

The Connection properties describe the various options that can be used to establish a connection.

Copyright (c) 2024 CData Software, Inc. - All rights reserved.
Build 24.0.9060