How to connect LinkedIn to Generic ODBC/JDBC tools

Discover how to connect LinkedIn to Generic ODBC/JDBC tools and how to integrate LinkedIn with other data sources to build an organization-wide data model.

WITH DATA VIRTUALITY PIPES
Replicate LinkedIn into a target storage and analyze it with Generic ODBC/JDBC tools.
How to connect LinkedIn to Generic ODBC/JDBC tools with Pipes


About LinkedIn

LinkedIn is an employment-oriented and business social networking service which is mainly used for professional networking and communication. With LinkedIn employers and job seekers can both create profiles and form real-world professional connections.

About Generic ODBC/JDBC tools

Generic ODBC/JDBC tools are used for creating, managing, archiving, and extracting simple or complex databases. Some of these tools have been developed specifically for the Mac OS X and Linux operating systems, other tools cover all other operating systems (e.g., Windows) and database systems (for example, MySQL, PostgreSQL, Oracle). Due to the constant extensions, the Generic ODBC/JDBC tools are offered as test versions over shorter or longer periods for cloud databases.

What is Data Virtuality Pipes?

Data Virtuality Pipes is an easy to use data integration tool. It allows to connect with LinkedIn, Generic ODBC/JDBC tools and more than 200 other cloud services and databases. All connected data sources can be directly queried with SQL and data can be moved into any analytical database. Customers of Data Virtuality Pipes no longer have to worry about API changes. All connectors and data pipelines are fully maintained by us.

1

EXTRACT

Choose your data sources: Google Analytics, Salesforce, Facebook, Amazon MWS and more

2

LOAD

Move your data into a target storage: Amazon Redshift, PostgreSQL, Google BigQuery, Snowflake and more

3

ANALYZE

Analyze your combined data using the Business Intelligence tools of your choice: Looker, Tableau, Excel and more

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