2020 may well go down as the year where what seems impossible today, did become possible tomorrow. It’s been a year filled with disruption and uncertainty. One day we were all going to the office, and the next we were working from home. Businesses had to literally switch operations, and enable better collaboration and access to data in an instant — while streamlining processes to accommodate a whole new way of doing things.

Michelin is a global organization well known for its high-performance tires, popular travel guides, and numerous innovations around materials, services, and connected solutions. Many consumers recognize the French brand by the famous “Michelin Man” mascot, whose body is composed of stacked white tires.

Testing your Android apps just got a whole lot easier — with the new Export Universal APK Step you can generate and deploy a universal APK to your test device from an Android App Bundle.

Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics and edge computing. This is opening up new revenue opportunities, use cases and even the possibility for different types of business models within the sector, changing the way that CSPs operate.

The Cloudera Support Organization has always strived to not only provide solutions to our customers but to also deliver helpful knowledge. One of the primary sources of that knowledge comes from our Knowledge Articles. This content is created and curated by our knowledgeable Support Staff based on real-world experience coming from support cases. These Knowledge Articles have proven to be invaluable to our Support Staff over the years.

Linear regression, alongside logistic regression, is one of the most widely used machine learning algorithms in real production settings. Here, we present a comprehensive analysis of linear regression, which can be used as a guide for both beginners and advanced data scientists alike.