LinkedIn is a business and employment-oriented social network that allows users to build profiles, connect with others, and share relevant information. One of the biggest social networks, it is primarily used for professional networking, online recruiting, and to seek employment.
MongoDB Atlas is a cloud database service for applications that works with Amazon AWS, Microsoft Azure, and Google Cloud Platform. The database service seeks to comply with the most stringent data security and privacy standards while offering a reliable suite of drivers, tools, and integrations. By automating numerous database management tasks, MongoDB Atlas helps developers build apps faster with less human error.
Bring all your Linkedin data to Amazon Redshift
Load your Linkedin data to Google BigQuery
ETL all your Linkedin data to Snowflake
Move your Linkedin data to MySQL
Get a detailed overview of organizations and search across organization profiles by industry, location, size, and more. This can help you understand your demographics and send targeted, accurate communications.
With this API, you can use LinkedIn to quickly sign in to other applications, with access to your name, photo, headline, and email address. Also easily connect to 1st degree connections and discover 2nd degree connections, thereby maintaining your networks and keeping your contacts across platforms.
Retrieve recommended jobs, search through LinkedIn jobs, and enable people to save jobs on their account.
Manage and promote your ads on LinkedIn, thereby raising brand awareness, building relationships, and driving quality leads.
Share your content and insights through your professional network, distributing it via the network update stream. This stream has all of the content and changes happening in your 1st and 2nd degree networks, offering a place where you can widely distribute information and expand your influence.
The automated security features included in MongoDB Atlas let you monitor who has access to your data while securing your information against unwanted intrusions. Also, due to the platform's automation of mundane operational tasks — like provisioning and configuration, patching and upgrades, monitoring and alerts, advanced security automation, and disaster recovery — you don't have to be a data science expert to set up and run your databases.
MongoDB Atlas provides a variety of database security layers including advanced access control, IP whitelists, in-flight data encryption through TLS/SSL, optional encryption of your file system, and network isolation through Amazon VPCs and VPC Peering.
MongoDB Atlas offers multiple servers to provide 'always-on' availability. Even if your primary master goes down, multiple backups ensure that your system is always up and running.
The advanced backup and recovery features for MongoDB Atlas guard against data corruption. Whether the threat is from hackers or a team member's innocent mistake, you can rest easy knowing that, after a catastrophic, event you'll have a backup copy to recover your system from a specific time in the past.
MongoDB Atlas provides detailed information and statistics about your database systems. By organizing this information in numerous ways, the platform helps you understand when important changes or upgrades to your system may be necessary. Moreover, if it's time to make changes, you can provision new server instances in a flash.
Whether it's a new technology upgrade to improve database efficiency or a security patch to protect against a new security threat, MongoDB Atlas automatically upgrades or lets you upgrade with a single click, so you can take advantage of features as soon as they're available. Upgrades happen in a matter of minutes without any downtime required.
MongoDB Atlas includes a suite of tools that allow you to select your regions, billing options, and more — allowing you to customize server instances to your desired specifications.
MongoDB Atlas scales up and down — or scales out horizontally through automatic sharding — according to the needs of your company with zero application downtime. This allows you to grow beyond the limitations of one server without making your application too complex. Moreover, the platform's automatic balancing keeps information equally distributed across multiple replica sets as your data volumes grow, or as your cluster increases or decreases.