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Engineering · Data Science
Real-time data ingestion in Grab
When it comes to data ingestion, there are several prevailing issues that come to mind: data inconsistency, integrity and maintenance. Find out how the Caspian team leveraged real-time data ingestion to help address these pain points.
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Engineering
Abacus - Issuing points for multiple sources
Learn about the challenges of points rewarding and how GrabRewards Points are rewarded for different Grab offerings.
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Engineering
Exposing a Kafka Cluster via a VPC Endpoint Service
Establishing communications between cloud resources that are hosted on different Virtual Private Clouds (VPC) can be complex and costly. Find out how the Coban team used a VPC Endpoint Service to expose an Apache Kafka cluster across multiple Availability Zones to a different VPC.
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Product
How Grab built a scalable, high-performance ad server
Like many businesses, Grab leverages ads to create awareness and increase engagement with our consumers. Read to find out how the GrabAds team built an ad server that could scale according to our growing consumer base.
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Security
Biometric authentication - Why do we need it?
As cyberattacks get more advanced, authentication methods like one-time passwords (OTPs) and personal identification numbers (PINs) are no longer enough to protect your users. Find out how biometric authentication can help enhance security.
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Data Science
Using real-world patterns to improve matching in theory and practice
Find out how real-world patterns can be used to improve algorithm performance when performing bipartite matching for passengers and driver-partners.
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Design
Designing products and services based on Jobs to be Done
In this post, we explain how the Jobs to be Done (JTBD) framework helps uncover the JTBD for consumers, as well as how we uncovered the core needs of GrabFood consumers and aligned the product with these needs.
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Engineering
Search indexing optimisation
Learn about the different optimisation techniques when building a search index.