Co-authors: Sandhya Ramu and Vasanth Rajamani For companies and organizations, failure tends to be far more illuminating than success and the lingering effects of a failure can be harmful if the team moves too quickly and does not resolve the issue in a thorough and transparent manner. We recently ran into a large incident that involved data loss in our big data...
Data Articles
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- Topics:
- Performance,
- Hadoop,
- data center,
- Data
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Co-authors: Konstantin Salomatin, Kirill Talanine, Barış Özmen, Gungor Polatkan, Linda Fayad, Arjun Kulothungun, and Deepak Kumar Our vision at LinkedIn is to create economic opportunity for every member of the global workforce. Key to achieving this is making the marketplace between job seekers and hirers more efficient. Active job seekers apply for many jobs,...
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Co-authors: Scott Meyer, Andrew Carter, and Andrew Rodriguez Editor’s note: In this two-part blog series, we introduce LIquid, a new graph database built by LinkedIn to support human real-time querying of the economic graph. It is a complete implementation of the relational model that supports fast, constant-time traversal of graph edges with a relational graph...
- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data
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Co-authors: Khai Tran and Steve Weiss Batch and streaming computations are often combined together in the Lambda architecture, but...
- Topics:
- Stream Processing,
- batch processing,
- Data,
- Pinot,
- Gobblin,
- Kafka,
- Samza
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Co-authors: Sneha Chaudhari, Mahesh Joshi, and Gungor Polatkan In part 1 of this series, we shared a high-level overview of our course...
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Co-authors: Madhumita Mantri and Tyler James At LinkedIn, ThirdEye is used for business and platform health metrics monitoring,...
- Topics:
- artificial intelligence,
- monitoring,
- Pinot,
- machine learning,
- metrics,
- Data