What is the Uber big data platform?

Figure 2: The first generation of Uber’s Big Data platform allowed us to aggregate all of Uber’s data in one place and provide standard SQL interface for users to access data. Release of our first data warehousing service was a huge success for engineers across the company.

How did Uber’s international expansion work?

Uber’s international expansion was based in a locale-by-locale approach, which truly is the only approach possible. One can’t get everywhere at the same time, regardless of one’s budget.

What is Uber’s data warehouse?

The first generation of our analytical data warehouse focused on aggregating all of Uber’s data in one place as well as streamlining data access. For the former, we decided to use Vertica as our data warehouse software because of its fast, scalable, and column-oriented design.

Why is Uber investing so much in its mobile app development?

Uber’s heavy investment in the development and iteration of its mobile app reflects an underlying commitment to continued growth and competitive performance.

How does Uber categorize its data users?

To achieve this goal, we first categorized our data users into three main categories: City operations teams (thousands of users): These on-the-ground crews manage and scale Uber’s transportation network in each market.

Why does Uber host its infrastructure on the cloud?

That is why Uber hosts its infrastructure on cloud hosting with a dedicated network, located in a particular geographic area so that online services can work without delays. Operating in numerous locations and serving millions of users generates tons of data. There is no on-premise solution that can store such an amount of information.

How does Uber work in real-time?

Many of Uber’s functionalities operate in real-time. From location tracking and matching to online payments and maps – all this functionality requires significant computing power and is expected to operate without downtime. Moreover, all these actions happen numerous times in a second in different parts of the globe.