database

Data Warehouse — optimal organization of your product data

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in Product Engineering .

Clean, transform and re-organize your user data from a data lake into a structure that will be queried by a non-engineering team to find product insights.

Data lake or how to not sink

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in Product Engineering . 6 min read

How (and why) we build marketplace data pipelines — Part 1: Data Warehouses

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in Insights . 6 min read

A data warehouse is a solution that every medium or large startup should have. It helps your product team have all your user data in one place, quickly fetch it, find insights, build product predictions and more.

How to use Neo4j to Monitor Customer Fraud in a Fintech App

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in Insights, Product Engineering . 8 min read

Eventually, detecting malicious actors and preventing fraud became mired in queries upon queries, requiring more and more time and resources to weed out. We needed a better solution, both for the sanity of our developers and for the continued growth of the products.

It's a Blockchain — 101

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in Insights . 7 min read

Compared to traditional database structures, we’re eager to see how the programmable nature of smart contract enabled blockchain systems can transform the way businesses and people interact in the digital world.