#data-platform

#data-platform

In a two-part blog series, Soam Acharya, Rainie Li, William Tom and Ang Zhang describe how the Pinterest Big Data Platform team considered alternatives for their next-generation massive-scale data processing platform as the limits of the existing Hadoop-based system, known internally as Monarch, became clear. They present Moka as the outcome of that search, and as their EKS based cloud native data processing platform, which now runs production workloads at Pinterest scale.

It wasn't like two months ago, but constant,

I'm an engineering manager at the BBC. The BBC is quite big, so in other terms, I would be a head of software engineering or a senior engineering manager. So, what I'm trying to get across here is that I have a department, I look after a part of the data platform, wider organization. I look after the core platform, which is the core infrastructure platform that builds out the infrastructure for the platform.

As with anything, having the correct setup is critical. For AI, that means establishing a robust, centralized data platform - combining both structured and unstructured datasets - so brands can improve the relevance of their communications and enhance customer experiences. Accuracy and governance are fundamental Whether you're setting up a simple customer segmentation or a complex lifetime value model, the core tenets of strong data foundations remain the same.