Why LinkedIn Uses Standardized Data over Old Data Model
Mobile App

Why Standardized Approach was a Better Option for Changing the LinkedIn Mobile App

App standardization is requisite demand for the mobile apps

Why Standardized Approach was a Better Option for Changing the LinkedIn Mobile App

LinkedIn just like any other social media platform deals with a massive amount of data. But, this huge database exactly caused it a problem, when the career website and professional network decided to attempt a redesigning the LinkedIn app for its social media platform. The main problem was to evolve a suitable solution for handling the huge data from the users of the social media platform.

The way the mobile app performs is not only to display the user data but also getting ingested with the LinkedIn dataset, which is based on the important aspect of the user behavior. It is this ingested data that gets served to the users as well as becomes available to the internal analysts.

Problems Faced while Redesigning the LinkedIn App

The changes that are made to the LinkedIn app crops up challenges before the internal team and these are:

1. Impacting More than the User Experience

It is not only the user experience that is impacted by the change. The reports and the analysis of data are also affected. A small change in the mobile app will have a rippling effect on the upstream and downstream applications and data.

2. Implications on the Data Stream

The changes will affect the whole of the data stream.

3. Challenges Faced by Larger Organization

Extensive use of data is made by the larger organizations. The same data is addressed by different names, while applications are built by the various application developers. The siloed process for different apps increases complexities.

4. Better Data Models Needed

The need of the hour is structured data that is easy to maintain. The maintainable data is made by good schemas only.

Choice Between the Old Data Model and Standardized Data

LinkedIn was about to make a choice between the two options - the old data model and the standardized data.

There were obvious benefits of the older model, as it requires no movement of the data to a newer approach. But, cost was a factor as the developers would require some replication efforts for the old code. LinkedIn estimated this as 5000 worker days, for the completion of the project.

The best option for LinkedIn was to standardize the data. Even though this required a greater amount of work, this will help to reduce the data modelling efforts, with the updated technologies.

There were some constraints too like the migration to the new model by the consumers and higher up-front investments on development. An evaluation stated 3000 worker days for the project completion. Obviously, the number of worker days favoured the standardization of the data approach.

Planning the Project By LinkedIn

While planning for the LinkedIn app, a data ecosystem was recommended by LinkedIn that could effectively manage change.

All these were in place with the help of standardized data core entities, a maintainable contract between the consumers and the data producers and ensuring a proper dialog between the producers and the consumers of the LinkedIn app.

The company also created a set of tools for monitoring the contracts and also maintenance of the code base.

LinkedIn also came up with the idea of an internal visual tool, for compliance purpose that will let the employees know the facts, needed for tracking the application.

A monitoring app sits on top of this tool, solving the problem when there is a mismatch between the guidance for tracking and the data emission. Another effort was a library for framework-level tracking, used by the product teams while developing the LinkedIn app.

A standardized process was also created by LinkedIn, so that the team becomes aware about the consumers of data.All these work on the backend data foundation and retooling only led to making the work on the mobile app appear simpler.

Tanya <span>Editor In Chief</span>
Written By
Tanya Editor In Chief

She is a content marketer and has more than five years of experience in IoT, blockchain, Web, and mobile development. In all these years, she closely followed the app development, and now she writes about the existing and the upcoming mobile app technologies. Her essence is more like a ballet dancer.

Mobile App

How To Advertise Your Business On Google Maps

4 min read  

Google is the best platform to advertise anything. Be it your personal brand or in-house promotion; Google is always preferred over other platforms. But do you know that advertising on Google Maps is also possible? Yes, you heard it right. Google Maps marketing can help you to attract nearby custome

Mobile App

How to Install TutuApp Store on iOS And Android Devices?

4 min read  

Today, there are millions of apps available on various app stores. Every day, if not every hour, new apps are launched to make life easier. However, downloading all of them seems absurd. Check out the list of all alternative app stores here.So what do you do when you get bored with your

Mobile App

Travel Startup GetYourGuide Raises €500M, Boosting Its Valuation To €1.6B

2 min read  

German blog Deutsche Startups reported that the GetYourGuide app, an online marketplace, and internet booking engine for incredible travel experiences, has bagged €500 million.The new funding round of the tour operator platform, GetYourGuide, was led by Temasek Holding with participation fr

Mobile App

How To Use Snapchat On Android Device

4 min read  

Do I need to explain the Snapchat? I hope not because there is already a lot of buzz around it. If the platform itself wasn’t popular enough among the masses, then its ‘Stories’ feature did the magic.To start with, I must tell you, when Snapchat was introduced in 2011, it was n