Systems | Development | Analytics | API | Testing

Operational Database Availability

This blog post is part of a series on Cloudera’s Operational Database (OpDB) in CDP. Each post goes into more details about new features and capabilities. Start from the beginning of the series with, Operational Database in CDP. This blog post gives you an overview of the high availability configuration capabilities of Cloudera’s OpDB. Cloudera’s Operational Database (OpDB) is a cluster-based software, which comes configured for High Availability (HA) out of the box.

Augment EMR Workloads with CDP

The first thing that comes to mind when talking about synergy is how 2+2=5. Being the writer that he is, Mark Twain described it a lot more eloquently as “the bonus that is achieved when things work together harmoniously”. There is a multitude of product and business examples to illustrate the point and I particularly like how car manufacturers can bring together relatively small engines to do big things.

Create custom functionalities in Keboola's Developer Portal

Every time you write another piece of code that picks up data from an FTP server, a small piece of you dies. As a developer in the data space, you know what we’re talking about. 80% of your time can be taken by building and improving the environment and tools, maintenance tasks, and pieces of functionality. That's simply too much time dedicated away from tackling more important issues.

Decision Making in Uncertain Times

Leaders know that making good, fast decisions is challenging under the best of circumstances. But, the trickiest decisions are those we call “big bets” – unfamiliar and high-stakes decisions. When you have a crisis of uncertainty, such as the COVID-19 pandemic, which arrived at overwhelming speed and enormous scale, organizations face a potentially paralyzing volume of these big-bet decisions.

Machine learning in production: Human error is inevitable, here's how to prepare.

You did it. You have machine learning capabilities up and running in your organization. Success! What started as a few nascent experiments (and maybe a few failures) are now carefully constructed models racing along in full production—with the ability to scale into the hundreds or thousands of productional models in sight. Assembling your expert team of data scientists and custodians seems like a distant memory. Now you’re looking ahead to the future—growth, innovation, revenue!