At LinkedIn, one of our most important goals is to offer a top-notch experience for all of our customers. Purchasing is a big part of that customer experience, and it is not as straightforward as many people would think. It can be complex and difficult to navigate, which makes the LinkedIn Business Platform such an important tool for delivering high-quality...
-
- Topics:
- Platform,
- Business Intelligence
-
Co-Authors: Yuhong Cheng, Shangjin Zhang, Xinyu Liu, and Yi Pan Efficient data processing is crucial in reducing learning curves, simplifying maintenance efforts, and decreasing operational complexity. This, in turn, helps engineers to develop and deploy data processing applications quickly and easily, powering various business requirements, and enhancing member...
- Topics:
- Apache Samza,
- Spark,
- Stream Processing,
- apache,
- Data Streams
-
Co-authors: Sofus Macskássy, Carol Jin, Shiyong Lin, Xiaomin Wei, and Michael O’Neill When we think of skills, we think of the unique knowledge, expertise, and abilities that each of us has. At LinkedIn, we see skills as more – we see them as a way to level the playing field in the labor market because they represent what a member is capable of – not where they...
- Topics:
- AI,
- Skills,
- economic graph
-
Ensuring operating system upgrades are done quickly and efficiently is just one way we ensure that the underlying applications and our...
- Topics:
- data center,
- Automation
-
Co-authors: Shu Wang, Biao He, and Minchu Yang At LinkedIn, Apache Spark is our primary compute engine for offline data analytics such...
- Topics:
- Spark,
- infrastructure
-
For our engineering teams, artificial intelligence (AI) is like oxygen - it powers every product we build and every experience we...
- Topics:
- artificial intelligence,
- AI,
- Data