Data Engineer Things

LinkedIn developed DataHub, an open-sourced metadata catalog platform that evolved through three generations. Initially, LinkedIn used a monolithic application which later split into a metadata service with an API. The third generation emphasized a stream-based, real-time architecture and decentralization, enabling efficient, trustworthy metadata handling. DataHub supports various APIs, real-time metadata changes, and federated metadata services, making it reliable and suitable for large enterprises.

DataHub: The Metadata Platform Developed at LinkedIn

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LinkedIn scaled their Restrictions and Enforcement System to handle 5 million queries per second by using advanced techniques such as BitSets, Bloom Filters, and full refresh-ahead caching strategies. The architecture includes components like the Venice Database and Kafka for real-time data streaming, ensuring high availability, low latency, and efficient memory usage.

How LinkedIn Scaled Their System to 5 Million Queries Per Second

Explore LinkedIn, a professional networking platform, and learn about personal branding, networking strategies, and career development. Learn about LinkedIn profiles, job search features, and LinkedIn marketing. Whether you're a job seeker, recruiter, or business professional, there's  content here to help you leverage LinkedIn for professional success.

Best of LinkedIn — November 2024