What do you do when you come across a dataset that’s simply too big to allow fast queries? Google BigQuery could be part of the solution, though it’s no silver bullet.
In this article, Toptal Java Developer Maksym Goroshkevych explains how BigQuery can drastically improve query performance, and when you should and should not use it.
The increasing accuracy of machine learning systems has resulted in a flood of applications using them. As machine learning models matured and improved, so did ways of attacking them.
In this article, Toptal Python Developer Pau Labarta Bajo examines the world of adversarial machine learning, explains how ML models can be attacked, and what you can do to safeguard them against attack.
Static websites are simple and fast, but it's also possible to automate updates to them to keep them fresh and relevant. Find out how to generate daily-updated HTML pages that track the latest releases of popular GitHub repositories.
Data warehouses aren’t exactly a new concept, but industry demand for data science services, coupled with the rise of AI and machine learning, is making them more relevant than ever.
In this post, Toptal Data Warehouse Developer Chamitha Wanaguru outlines three basic principles you need to keep in mind when developing a new data warehouse.
Without proper state management, your Angular app will become a UX nightmare. But even with that solved, persisting state across sessions and devices can be tricky. This tutorial shows how to leapfrog that challenge using Firebase.