Streaming Analytics at Grab

Grab processes most of its data in batch. While this methodology has served the company well, as the size of both its business and data grows exponentially, there is an increasing demand for a higher availability of data with lower latency and higher quality. Andreas discusses the challenges that Grab is facing with the ever-increasing volume and velocity of its data and shares the company’s plans to overcome them.

Session length

40 minutes

Language of the presentation

English

Target audience

Intermediate: Requires a basic knowledge of the area

Who is your session intended to

Data Engineers

Speaker

Andreas Hadimulyono (Grab / Data Engineering Lead)