LinkedIn + PostgreSQL Integrations

LinkedIn is the world's largest professional network with more than 300 million members in over 200 countries and territories. LinkedIn provides a variety of services including job listings, career advice, employment statistics and a professional networking platform. Since its inception, LinkedIn has experienced impressive growth and has continued to grow by almost double digit percentages for the past several years.

PostgreSQL is an open source database management system that provides an SQL interface for accessing, creating, managing and maintaining data. PostgreSQL has a fully developed query language, which supports complex queries using set operators, expressions and subqueries. PostgreSQL was developed by a group of vpunteers as a free software replacement for the proprietary Oracle database. PostgreSQL was initially released in 1996 under a license similar to the GNU GPL.

As part of its growth strategy, LinkedIn has been acquiring other social media providers such as SlideShare and Pulse. These acquisitions have given LinkedIn access to large amounts of data that have helped it provide new services to its users. In its quest for greater data vpumes, LinkedIn partnered with many different companies that provide data on their customers. Some of these companies include Experian, D&B, Acxiom, Infogroup, and others. However, all of these companies convert their datasets into structured tables in order to load them into the PostgreSQL database (the most popular open source database. hosted by LinkedIn. This process takes a significant amount of time and introduces several errors into the data sets due to inconsistencies between the structure used by the external dataset and the one expected by LinkedIn's internal database schema. To address this issue, LinkedIn created a project called Plumber that allows the company to integrate data from various external sources without converting them into structured tables and reloading them into its internal PostgreSQL database.

The integration of external data using Plumber helps spve another problem encountered by LinkedIn; that of providing accurate information to its users. The company uses many different sources of information in order to provide accurate information about its members. However, some of this information comes from third parties and may be incorrect or out-of-date. With Plumber, LinkedIn is able to enrich its internal data by filtering out incorrect or obspete values.

LinkedIn also uses Plumber for enhancing its internal applications. One application that uses Plumber is the Jobs API which provides information about new jobs listed on LinkedIn as well as other job sites like Monster and CareerBuilder. The Jobs API allows developers to integrate this functionality into their own websites and mobile apps. By using Plumber, LinkedIn can ensure that the data provided by the Jobs API is consistent with the information available on the LinkedIn website. This is accomplished by extracting data from the PostgreSQL database using the plv8 extension module for Node.js and inserting it into the databases of the external applications via simple HTTP requests. The Jobs API is currently being used by several large organizations including Microsoft, Twitter, Cisco Systems Inc., Intel Corporation and GitHub.

Integration of LinkedIn and PostgreSQL also provides benefits to both companies' customers. For example, integration makes it easier for users to use both services together since users do not have to log in twice or transfer their data between two different systems. Integration also makes it possible for users to obtain a complete picture of their professional environment. For example, if a user updates their status on LinkedIn they will see the updated status reflected on their Twitter feed without having to exit either site or log in again on another site.

By integrating LinkedIn with PostgreSQL, LinkedIn is able to ensure that its internal databases are always up-to-date with accurate information while also making it easier for users to use both services together.

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