Co-authors: Steven Chuang, Qinyu Yue, Aravind Rao, and Srihari Duddukuru Introduction Having recently transitioned LinkedIn’s analytics stack (including 1400+ datasets, 900+ data flows, and 2100+ users) to one based on open source big data technologies, we wanted to give an overview of the journey in a blog post. This move freed us from the limits imposed by...
Hadoop Articles
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Co-authors: Keqiu Hu, Jonathan Hung, Haibo Chen, and Sriram Rao At LinkedIn, we use Hadoop as our backbone for big data analytics and machine learning. With an exponentially growing data volume, and the company heavily investing in machine learning and data science, we have been doubling our cluster size year over year to match the compute workload growth. Our...
- Topics:
- Hadoop,
- Data,
- Open Source
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Co-authors: Keqiu Hu, Jonathan Hung, and Junfan Zhang Today, TonY is joining the LF AI & Data Foundation, an umbrella foundation of the Linux Foundation supporting open source innovation in artificial intelligence, machine learning, and deep learning. “We’re thrilled to welcome TonY into incubation in LF AI & Data. The project offers functionalities that are not...
- Topics:
- artificial intelligence,
- Hadoop,
- machine learning,
- Open Source
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Co-authors: Konstantin V. Shvachko, Chen Liang, and Simbarashe Dzinamarira LinkedIn runs its big data analytics on Hadoop. During the...
- Topics:
- scale,
- Hadoop,
- Distributed Systems,
- infrastructure
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Co-authors: Zihan Li, Sudarshan Vasudevan, Lei Sun, and Shirshanka Das Data analytics and AI power many business-critical use cases at...
- Topics:
- Stream Processing,
- Hadoop,
- Data,
- batch processing,
- Open Source,
- Gobblin,
- Kafka
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Co-authors: Sandhya Ramu and Vasanth Rajamani For companies and organizations, failure tends to be far more illuminating than success...
- Topics:
- Performance,
- Hadoop,
- data center,
- Data