Co-authors: Guillaume Saint-Jacques, Amir Sepehri, Nicole Li, and Igor Perisic Introduction Previously on this blog, we’ve shared information on best practices in data science, particularly in areas such as A/B testing. We’ve also discussed the importance of ethics in fields such as data science, early implementations of “fairness by design” principles in our...
Data Articles
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- Topics:
- A/B Testing,
- data science,
- experimentation,
- research,
- Product Design,
- Data,
- machine learning
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Co-authors: Walaa Eldin Moustafa, Wenye Zhang, Adwait Tumbde, Ratandeep Ratti Introduction Over the years, the popularity of Apache Spark at LinkedIn has grown, and users today continue to leverage its unique features for business-critical tasks. Apache Spark allows users to consume datasets using powerful, yet easy-to-use APIs such as the Dataset interface. The...
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Co-authors: Arun Swami, Sriram Vasudevan, Sailesh Mittal, Jiefu Zheng, Joojay Huyn, Audrey Alpizar, Changling Huang, Maneesh Varshney, Adrian Fernandez Data’s value is best realized when prepared and treated correctly. However, when you’re working with data at an extensive scale, it’s not as easy to make sure that every data set has been cleaned and validated....
- Topics:
- scale,
- Developer Productivity,
- tools,
- Data
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Co-authors: Xiang Zhang and Chuck Jerian Espresso is LinkedIn’s document-oriented, highly available, and timeline-consistent...
- Topics:
- Performance,
- Data,
- ESPRESSO
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Co-authors: Yen-Jung Chang, Yang Yang, Xiaohui Sun, and Tie Wang At LinkedIn, ThirdEye is the backbone of our monitoring toolkit. We...
- Topics:
- monitoring,
- Pinot,
- metrics,
- Data
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Co-authors: Kerem Sahin, Mars Lan, and Shirshanka Das Finding the right data quickly is critical for any company that relies on big...
- Topics:
- Metadata,
- infrastructure,
- Data,
- Open Source