Continuous evaluation—the process of ensuring a production machine learning model is still performing well on new data—is an essential part in any ML workflow. Performing continuous evaluation can help you catch model drift, a phenomenon that occurs when the data used to train your model no longer reflects the current environment.

The data lakes concept has come back into popular focus with Amazon Athena, an innovative, serverless solution. But does it fit into your organization’s data stack? This article covers Amazon Athena capabilities, pros and cons, competitors, and use cases.

Conventional wisdom says that new app development projects should begin as monolithic systems. This perspective suggests that you should wait until later to refactor the monolith into a microservices-based architecture — i.e., don’t use microservices until your use-case and scaling demands require them. But is this viewpoint still correct?

COVID-19 vaccines from various manufacturers are being approved by more countries, but that doesn’t mean that they will be available at your local pharmacy or mass vaccination centers anytime soon. Creating, scaling-up and manufacturing the vaccine is just the first step, now the world needs to coordinate an incredible and complex supply chain system to deliver more vaccines to more places than ever before.

Innovative organizations need DataOps and new technologies because old-school data integration is no longer sufficient. The traditional approach creates monolithic, set-in-concrete data pipelines that can’t convert data into insights quickly enough to keep pace with business. The following trends are driving the adoption of Hitachi’s Lumada DataOps Suite.

Thanks for all those who enthusiastically responded to my first blog post on Qlik analytics with Peloton! Now, onward brave souls as we learn HOW I was able to create the analytics I wrote about earlier!

Transportation and logistics companies generate and consume more data than almost every other industry. Despite this, they still find themselves lagging behind other B2B verticals in their ability to turn a profit from data. With thinning profit margins and new contenders entering the logistics industry, the only way to outperform other companies is through brain, not brawn. Logistics analytics offers the edge over the competition.

How can you tell when your organization needs to start building a modern data stack? Orchard Analytics provides technical data team services on flexible contracts. Reach out to Phil to learn more. The software abundance problem created the need for data tools, and now -- surprise -- there’s an abundance of data tools.

It’s now more than 30 years since the first website was born. Its purpose, you ask? To provide information about the World Wide Web, of course. In the three decades that have elapsed since then, we’ve created around 6 billion more websites. Some, like that inaugural site about the internet itself, are devoted to providing information. Others allow us to buy and sell products. Others give us access to photos, videos and other forms of media.

2020 has been a remarkable year, full of change and reinvention. Yet one thing remains the same, NodeSource Node.js binary downloads keep increasing month by month, providing millions of users around the world with the power of Node.js. Node By Numbers 2020 gives us important insights into the usage of Node.js across Linux environments and the Node.js community in general.