Presented By O'Reilly and Cloudera
Make Data Work
Dec 4–5, 2017: Training
Dec 5–7, 2017: Tutorials & Conference
Singapore
Feng Cheng

Feng Cheng
Data Engineer, Grab

Website

Cheng Feng is a data engineer at Grab, where he works on the big data platform, distributed computing, stream processing, and data science. Previously, he was a data scientist at the Lazada Group, working on Lazada’s tracker, customer segmentation and recommendation systems, and fraud detection.

Sessions

4:15pm4:55pm Wednesday, December 6, 2017
Big data and the cloud, Data engineering and architecture
Location: 310/311 Level: Beginner
Feng Cheng (Grab), Yanyu Qu (Grab)
Average rating: *****
(5.00, 1 rating)
Grab uses Presto to support operational reporting (batch and near real-time), ad hoc analyses, and its data pipeline. Currently, Grab has 5+ clusters with 100+ instances in production on AWS and serves up to 30K queries per day while supporting more than 200 internal data users. Feng Cheng and Yanyu Qu explain how Grab operationalizes Presto in the cloud and share lessons learned along the way. Read more.