Tecton

What Data Engineers Should Know About Real-Time Analytics

apply(meetup) - Feb '22 - 30 minutes

Online Personalization is powered by a real-time feature engineering platform that ingests, processes, and joins millions of events per minute. We present the architecture that manages the real-time feature engineering platform at Personalization. The platform provides a stateful session and customer context across browsers and devices. In addition, it feeds into a real-time inference platform that enables personalization models, including personalized recommender systems and predictive baskets.
Dhruba Borthakur

Co-Founder & CTO

Rockset

Dhruba Borthakur is CTO and co-founder of Rockset, responsible for the company's technical direction. He was an engineer on the database team at Facebook, where he was the founding engineer of the RocksDB data store. Earlier at Yahoo, he was one of the founding engineers of the Hadoop Distributed File System. He was also a contributor to the open source Apache HBase project. Dhruba previously held various roles at Veritas Software, founded an e-commerce startup, Oreceipt.com, and contributed to Andrew File System (AFS) at IBM-Transarc Labs.

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Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

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or

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Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

CTA link

or

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