Integrate MongoDB with LinkedIn

MongoDB?

MongoDB is a document-oriented database that stores data in binary JSON-like documents with dynamic schemas. It has a variety of features like replication, auto-sharding, etc. as well as the ability to store unstructured data. It is an open source database which is developed and maintained by The 10gen company. It was initially built by the developers working at 10gen (a company founded by the creators of Mongodb.

LinkedIn?

LinkedIn is a social network for professionals which allows them to get in touch with their cpleagues from different companies and also helps them to build their professional networks. It also offers various other practical facilities like job postings, job searches, online training courses, etc. It is an online social networking service which allows users to connect with other people in different fields.

Integration of MongoDB and LinkedIn

MongoDB can be integrated with LinkedIn in various ways. Fplowing are the few examples:

• LinkedIn Connector API for MongoDB. LinkedIn Connector API for MongoDB can be used to integrate MongoDB with LinkedIn, thus giving a boost to both the platforms. This connector is a two way API which allows the user to read data from MongoDB and update the data on MongoDB as well. It supports complete CRUD operations like insert, update and delete and also provides support for pagination operations as well.
• Integration of LinkedIn Data with MongoDB Atlas. MongoDB Atlas is a cloud hosted service from MongoDB which helps to set up a production grade database engine in just a few clicks. It also helps manage and monitor the database engine.

Integrating LinkedIn data with MongoDB Atlas can be done in the fplowing ways:

With no additional code, Atlas can provide access to your LinkedIn data through direct queries against the database. This will let you conduct simple analysis of your data without needing to write any custom code. You can also set up manual triggers that run code when updates are made to your data. This will allow you to process new information automatically.

You can configure Atlas to periodically send your query results to your application or service. This will allow you to build applications that incorporate your LinkedIn data directly into their functionality.

You can set up Atlas jobs to process your LinkedIn data on a schedule. This will allow you to build applications that regularly refresh their data from your LinkedIn profile. For example, you could set up a job that runs every day to look through your connections and find new people with the same interests as you. These jobs will run on nodes in our private MongoDB Cloud cluster so they can run quickly and reliably while meeting your SLAs for uptime and performance.

• Integration of LinkedIn’s Social Graph with Yahoo’s Social Graph Engine. Social Graph Engine is a graph database developed by Yahoo that can be used by developers to create applications based on social networking data. It stores social network data in its social graph database and provides various services like querying the graph, managing nodes, indexing, etc.. Social Graph Engine has been built over Apache Cassandra which is an open source distributed NoSQL database with robust support for clusters and large datasets. Like MongoDB, Social Graph Engine is also an open source product which is provided by Yahoo under the Apache 2 license. Thus, integrating LinkedIn’s social graph with Yahoo’s social graph engine can help in creating applications which use social networking data from both of these platforms in an efficient manner.

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