Systems | Development | Analytics | API | Testing

%term

Geolocation Testing: All You Need To Know

You open your Uber app and book a ride. Upon successful booking, a map pops up and shows you the whereabouts of your driver. While in the Uber, you open Zillow, a real estate app, to check out the apartment you want to rent that is located a few kilometers away from your location. The weather app, knowing your location, then sends you a notification to expect rain tomorrow. All of these are examples of the power of geolocation-based app features.

Test Execution: How To Do It Properly

To execute locally, remote, or on-cloud? That is the question. But test execution is more than just “hitting Enter and seeing if it passed or not.” If you are doing it manually, test execution is about performing every single test step as outlined in the test case. For automation testing, test execution takes on another layer of complexity: In which environment should you run the test? Which test cases should you prioritize for execution?

Flutter vs React Native: An In-Depth Comparison

Mobile app development demands efficiency, reliability, and speed. Flutter and React Native are popular frameworks that allow you to create apps quickly and efficiently. This post will compares the strengths and weaknesses of each development framework to help you choose the best option for your next project.

Best Practices and Benefits of Data Migration in Oracle Cloud

Data migration refers to the process of moving data from one location to another. In the context of Oracle Cloud, data is transferred from on-premises systems or other cloud platforms to Oracle’s cloud infrastructure. Whether you’re migrating databases, applications, or entire systems, a complete approach is critical to a successful migration.

Introducing Cloudera's AI Assistants

In the last couple of years, AI has launched itself to the forefront of technology initiatives across industries. In fact, Gartner predicts the AI software market will grow from $124 billion in 2022 to $297 billion in 2027. As a data platform company, Cloudera has two very clear priorities. First, we need to help customers get AI models based on trusted data into production faster than ever.