Analytics Platforms & Apps
Analytics Platforms & Apps
Data is what powers the inner workings of the LinkedIn platform to carry out our vision of creating economic opportunity for our more than 645M members through features like People You May Know (PYMK), Recruiter Search, and Jobs. By leveraging our data, we are able to create these products and deliver business insights to improve the member experience, customer experience, and our own company. But before we can do that, petabytes of data must be made available for analysis: aggregated, stored, labeled, prepared for compute, etc.
Our purpose as a team and the purpose of analytics platforms and related applications at LinkedIn is to enable others to derive near-limitless insights and intelligence from LinkedIn’s data.
Teams & Project Spotlights
Big Data Engineering
We strive to make it easier for developers and analysts to use the right data to build compliant and consistent products by providing a single source of truth in the form of high quality and certified data.
Data Warehouse & Solutions
Data warehouse and data solutions to help business stakeholders to meet their data needs.
Data Applications
The Data Applications team enables data producers and consumers to meet their analytics needs through data-driven reporting, tracking, and custom-tailored analytics applications.
Data Applications
The Data Applications team enables data producers and consumers to meet their analytics needs through data-driven reporting, tracking, and custom-tailored analytics applications.
Analytics Platforms
The Analytics team provides platforms for analytics data storage, transport, access/management, compute frameworks, and query engines.
Video: How Reporting and Experimentation Fuel Product Innovation at LinkedIn
A presentation from Data@Scale 2017 that looks at UMP and XLNT, platforms built for metrics computation and experimentation.
Interested in joining our team?