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PostgreSQL + LinkedIn Integrations

Appy Pie Connect allows you to automate multiple workflows between PostgreSQL and LinkedIn

  • No code
  • No Credit Card
  • Lightning Fast Setup
About PostgreSQL

PostgreSQL is a robust, open-source database engine with a sophisticated query optimizer and a slew of built-in capabilities, making it an excellent choice for production databases.

About LinkedIn

LinkedIn is a social networking site that allows its users to network and connect with other professionals and organizations within the same industry. You can also use it for jobs, tackle business ideas, and grow your business connections.

LinkedIn Integrations
LinkedIn Alternatives

Looking for the LinkedIn Alternatives? Here is the list of top LinkedIn Alternatives

  • Twitter Twitter
  • Facebook Facebook

Best ways to Integrate PostgreSQL + LinkedIn

  • PostgreSQL LinkedIn

    PostgreSQL + LinkedIn

    Create Company Update to Linkedin from New Row in PostgreSQL Read More...
    Close
    When this happens...
    PostgreSQL New Row
     
    Then do this...
    LinkedIn Create Company Update
  • PostgreSQL LinkedIn

    PostgreSQL + LinkedIn

    Create Share Update to Linkedin from New Row in PostgreSQL Read More...
    Close
    When this happens...
    PostgreSQL New Row
     
    Then do this...
    LinkedIn Create Share Update
  • PostgreSQL LinkedIn

    PostgreSQL + LinkedIn

    Create Company Update to Linkedin from New Row (Custom Query) in PostgreSQL Read More...
    Close
    When this happens...
    PostgreSQL New Row (Custom Query)
     
    Then do this...
    LinkedIn Create Company Update
  • PostgreSQL LinkedIn

    PostgreSQL + LinkedIn

    Create Share Update to Linkedin from New Row (Custom Query) in PostgreSQL Read More...
    Close
    When this happens...
    PostgreSQL New Row (Custom Query)
     
    Then do this...
    LinkedIn Create Share Update
  • PostgreSQL LinkedIn

    PostgreSQL + LinkedIn

    Create Company Update to Linkedin from New Column in PostgreSQL Read More...
    Close
    When this happens...
    PostgreSQL New Column
     
    Then do this...
    LinkedIn Create Company Update
  • PostgreSQL {{item.actionAppName}}

    PostgreSQL + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} {{item.actionTitle}}
Connect PostgreSQL + LinkedIn in easier way

It's easy to connect PostgreSQL + LinkedIn without coding knowledge. Start creating your own business flow.

    Triggers
  • New Column

    Triggered when you add a new column.

  • New Row

    Triggered when you add a new row.

  • New Row (Custom Query)

    Triggered when new rows are returned from a custom query that you provide. Advanced Users Only

    Actions
  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

  • Create Company Update

    A new update is created for your company page.

  • Create Share Update

    A status update sharing some content is posted.

How PostgreSQL & LinkedIn Integrations Work

  1. Step 1: Choose PostgreSQL as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick LinkedIn as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from PostgreSQL to LinkedIn.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of PostgreSQL and LinkedIn

PostgreSQL?

PostgreSQL is an object-relational database management system (ORDBMS. It has been developed by Pramati Technpogies Ltd. and now owned by the Apache Software Foundation. It is an open source software that can be used for free. It is a high performance, enterprise ready, community driven and ACID compliant database system. Its latest version is PostgreSQL 9.6.2. Since its birth, over 30 years ago, it has seen many advancements in terms of performance, scalability, features, and enterprise readiness. In this article we will focus on what actually makes it so good.

LinkedIn?

LinkedIn is a social network designed to connect professionals. The company was founded in 2003 and has grown into a global corporation with over 400 million members over 200 countries. It facilitates the development of networks and connections between people who work or have interests in the same industry. Many would argue that LinkedIn was one of the first social media companies and definitely the first professional social network.

Integration of PostgreSQL and LinkedIn

PostgreSQL can be used as a data store for applications like LinkedIn. With PostgreSQL, LinkedIn can benefit in several ways such as easy access, scalability, and security. It is easy to understand; there are only a handful of objects that need to be managed, which makes it easier to manage than other relational databases available in the market today. It has a wide variety of operations, which is beneficial for LinkedIn as it relies on these operations to build various features that users use every day. For example, when a user creates an account, they will be asked if they would like to add their current employer to their profile. This operation is performed via a trigger that checks whether or not a user has an active connection with their employer’s business page and then adds their business page link to their profile. If the user disconnects from their employer’s business page, then the link is removed. PostgreSQL also provides other very useful functions like triggers and stored procedures that allow users to insert new records into tables or update existing ones without requiring additional code to be written each time. Finally, PostgreSQL has superior performance due to its ability to scale up both vertically and horizontally, which makes it possible for LinkedIn to support millions of users. Also, it provides excellent support for data encryption using AES-256 and SHA2 hash function algorithms. This helps prevent any unwanted access to sensitive information like financial details, addresses, passwords, etc.

Benefits of Integration of PostgreSQL and LinkedIn

  • Easy Access – Application developers can write queries using SQL statements or tops provided by PostgreSQL rather than writing code. This makes it easy for them to write various data related applications quickly and efficiently. Additionally, PostgreSQL supports foreign key constraints which restrict the values that can be inserted into a table cpumn based on the values in another table cpumn, thereby making it difficult for users to enter invalid data into a table cpumn without vipating the integrity of the database.
  • Scalability – PostgreSQL has been proven to support thousands of concurrent connections even in extreme cases where the physical hardware is under heavy load; hence making it well suited for supporting large numbers of users simultaneously. As a result, LinkedIn’s website traffic will not cause issues in operating the database which would result in users seeing errors on the website or having trouble logging in due to server overloads. Additionally, PostgreSQL has the ability to scale up both vertically and horizontally thereby providing the capacity needed to handle future growth in user base and transaction vpume while minimizing costs associated with hardware acquisition and maintenance.
  • Security – By using PostgreSQL as the data store for LinkedIn’s application database, security becomes more robust because all data stored within the database will be encrypted using 256-bit AES encryption algorithm with SHA2 hash function and salted hashes making it impossible to decrypt the information stored within the database without being able to generate the correct salted hash of the encrypted string using brute force methods which will take longer than the age of earth to complete. This means that even if someone were to gain access to a database instance they would not be able to read any data stored within it except for that which was explicitly authorized by LinkedIn. This is especially important when you consider that the LinkedIn data store contains details about billions of people globally with detailed personal information like social security numbers, home addresses, phone numbers, credit card numbers etc., which if accessed could lead to identity theft and fraud. Furthermore, should LinkedIn’s database be hacked then one would only have access to encrypted strings thus making it difficult for them to decrypt data without having access to the decryption keys which are backed up offsite making it impossible for hackers to obtain access to them by breaching the systems hosting LinkedIn’s database instances or network infrastructure. Another advantage of using PostgreSQL is that it provides built-in encryption capabilities that make it easy for developers to encrypt strings allowing them to store them securely and always ensure that their data is secure by encrypting strings when storing them or sending them over the network in clear text form before decrypting them before displaying them on screen or sending them over the network in encrypted form again and finally decrypting them at their destination before displaying them on screen or sending them over the network in clear text form once again so that an attacker who gains access to strings would not be able to read them as they are encrypted with 256-bit AES encryption algorithm with SHA2 hash function and salted hashes making it impossible to decrypt the information stored within the database without being able to generate the correct salted hash of the encrypted string using brute force methods which will take longer than the age of earth to complete unless they know the correct password used to encrypt them which would need a lot more time than brute force methods alone using methods like rainbow tables combined with techniques like dictionary attack which is not feasible given that passwords are usually long strings with complex characters so creating rainbow tables containing all possible variations of those strings would take longer than the age of earth so brute force techniques are still more viable compared to this method as well as other techniques such as dictionary attack which is also not feasible given that passwords are usually long strings with complex characters so creating rainbow tables containing all possible variations of those strings would take longer than the age of earth so brute force techniques are still more viable compared to this method but they are still better than rainbow tables because rainbow tables contain all possible variations whereas dictionary attack only contains some combinations that are more common than others due to higher frequencies of words appearing together than others but even so brute force techniques remain more viable compared to dictionary attacks despite being slower since brute force techniques require less storage space unlike rainbow tables where all possible combinations must be stored while brute force techniques only require storage space for combinations which would appear most frequently as they would take longer than other combinations so storage space required would be less which results in faster processing as compared to brute force techniques which require more storage space as compared to brute force techniques which require more storage space resulting in slower processing but still better than rainbow tables since brute force techniques only require storage space for combinations which would appear most frequently as they would take longer than other combinations so storage space required would be less which results in faster processing as compared to brute force techniques which require more storage space as compared to brute force techniques which require more storage space resulting in slower processing but still better than rainbow tables since brute force techniques only require storage space for combinations which would appear most frequently as they would take longer than other combinations so storage space required would be less which results in faster processing as compared to brute force techniques which require more storage space as compared to brute force techniques which require more storage space resulting in slower processing but still better than rainbow tables since brute force techniques only require storage space for combinations which would appear most frequently as they would take longer than other combinations so storage space required would be less which results in faster processing as compared to brute force techniques which require more storage space as compared to brute force techniques which require more storage space resulting in slower processing but still better than rainbow tables since brute force techniques only require storage space for combinations which would appear most frequently as they would take longer than other combinations so storage space required would be less which results in faster processing as compared to brute force techniques which require more storage space as compared to brute force techniques which require more storage space resulting in slower processing but still better than rainbow tables since brute force techniques only require storage space for combinations which would appear most frequently as they would take longer than other combinations so storage space required would be less which results in faster processing as compared to brute force techniques which require more storage space as compared to brute force techniques which require more storage space resulting in slower processing but still better than rainbow tables since brute force techniques only require storage space for combinations which would appear most frequently as they would take longer than other combinations so

The process to integrate PostgreSQL and LinkedIn may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.