We decided to take an aggressive step and empower our internal business users to work with their data faster and more efficiently via a custom self-serve analytics platform.
I’ve been at Quantcast for a few months now, and I’ve learned a lot: new business, new tools, new products, new people.
Fourteen publishers flew to San Francisco for Quantcast’s second annual Publisher Hackathon to brainstorm solutions to the advertising industry’s most painful problems.
We all look forward to the day we can step into our cars and get to our destinations without touching the steering wheel. While there is no question that automation is the way of the future, there are plenty of obstacles to overcome before getting fully automated vehicles onto the road. A major obstacle is
Big Data Problems Quantcast’s competitive edge lies in our ability to process vast amounts of data efficiently. We have hundreds of pipelines running on our hardware, processing over 30PB per day. We got to 30PB per day over the years by constantly finding new optimizations. Recently, with the cluster backlog growing and engineers starting to
At Quantcast, our mission is to show relevant and effective advertisements on behalf of our customers. Showing relevant ads in real-time requires answering three simple yet profound questions: Who should see the ads? Where should the ads be shown? When should the ads be delivered? Effective ad targeting requires