Co-authors: Kerem Sahin, Mars Lan, and Shirshanka Das Finding the right data quickly is critical for any company that relies on big data insights to make data-driven decisions. Not only does this impact the productivity of data users (including analysts, machine learning developers, data scientists, and data engineers), but it also has a direct impact on end...
-
- Topics:
- infrastructure,
- Analytics,
- Open Source
-
Editor's Note: LinkedIn Engineering is dedicated to solving complex problems at scale to create economic opportunity for every member of the global workforce. This challenge provides our engineers with the opportunity to build their technical skills as they make this mission a reality. In this series, we’ll talk about the career development of the people that...
- Topics:
- engineering culture,
- Women in Tech,
- NYC Engineering,
- SRE
-
Nearly 20 years after the first release of Python 2 and 11 years after the first release of Python 3, the Python development community has retired Python 2.7, the last of the Python 2 series. This marks the end of all upstream support for Python 2, including bug and security fixes, and allows developers to devote their time fully to Python 3, which is faster,...
- Topics:
- Python,
- Open Source
-
Our members place their trust in us, and expect and deserve a safe and trusted community where they can express themselves...
-
Pinot, an open source scalable distributed columnar OLAP data store, is used extensively across almost all areas of LinkedIn. It...
- Topics:
- Performance,
- Pinot,
- linux
-
Monitor, profile, optimize, and ramp. This is the cycle of performance operations that we rely on to improve our Android app. Part 1...
- Topics:
- Performance,
- Mobile,
- Android,
- RUM,
- site speed