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Engineering · Data Science
Enabling near real-time data analytics on the data lake
As the data lake landscape matures over the years, it presents opportunities to unlock more business value from the data. This correlates with the increased demand for flexible ad-hoc usage of fresh data. This article explores how we implemented data ingestion in Hudi table formats using Flink to meet this business demand. -
Engineering · Product · Design
The journey of building a comprehensive attribution platform
The Grab superapp offers a comprehensive array of services from ride-hailing and food delivery to financial services. This creates multifaceted user journeys, covering homepages, product pages, checkouts, and interactions with diverse content, including advertisements and promo codes. Read this to find out more. -
Product
Managing dynamic marketplace content at scale: Grab's approach to content moderation
Understand how Grab employs a combination of automated and manual content moderation to manage its dynamic marketplace content efficiently, while also collaborating with Google to ensure marketplace safety. -
Engineering
Rethinking Stream Processing: Data Exploration
As Grab matures along the digitalisation journey, it is collecting and streaming event data generated from the end users of its superapp on a larger magnitude than before. Coban, Grab’s data-streaming platform team, is looking to help unlock the value of streaming data at an earlier stage of the data journey before this data is typically stored in a central location (“Data Lake”). This allows Grab to serve its superapp users more efficiently. -
Engineering · Data Science
Kafka on Kubernetes: Reloaded for fault tolerance
Dive into this insightful post to explore how Coban, Grab's real-time data streaming platform, has drastically enhanced the fault tolerance on its Kafka on Kubernetes design, to ensure seamless operation even amid unexpected disruptions. -
Engineering · Security
Championing CyberSecurity: Grab's bug bounty programme in 2023
Since its launch in 2015, Grab’s Bug Bounty programme has made strides in giving back to the global security community and aiding research. Read this article to find out more about our quarterly campaigns in collaboration with HackerOne and other achievements we’ve had in 2023. -
Engineering
Sliding window rate limits in distributed systems
In the field of distributed systems, there are several common challenges, such as rate limiters and fast queries in big data. In this blog post, we delve into how we address these challenges with sliding window rate limits to optimise marketing communications for our users.
Engineering
Android App Size at Scale with Project Bonsai
With the size of our app growing to include more features, Grab recognised it as a potential hurdle for new users with small storage capacities or restricted Internet bandwidth. Read to find out more about Project Bonsai and how it reduced app download size and app disk size.