Systems | Development | Analytics | API | Testing

Personally identifiable information (PII) is some of the most valuable data that organizations can have. It's also some of the most dangerous if you don't follow data security best practices. If you don't treat this data with care, you could end up in the headlines as the victim of the latest data breach, costing you money and damaging your reputation. Of course, you should never leave PII data unprotected. So what is the best way to protect the confidential and sensitive PII that you handle?

Data cleansing is a fundamental aspect of knowing what data you retain and using it most effectively. The process of cleansing reduces the potential for error and enhances data reliability. Here's how to get started.

In the first of this two-part episode of Data+AI Battlescars, Sandeep Uttamchandani, Unravel Data’s CDO, speaks with Kapil Surlaker, VP of Engineering and Head of Data at LinkedIn. In this first part, they cover LinkedIn’s challenges related to Metadata Management and Data Access APIs. Part 2 will dive deep into data quality.

Build a comprehensive picture of how customers interact with your company.

We’re all familiar with how Google Search revolutionized information processing for consumers. The ingenious combination of AI with a new way to organize content on the web created a user-friendly experience that forever changed how the world finds relevant information on the internet.

During your Android developer career, you may reach a point where you will have to develop Android libraries or Gradle plugins. In this article, we will discuss the most important aspects and differences of testing these!