Systems | Development | Analytics | API | Testing

Here at Cloudera, we’re committed to helping make the lives of data practitioners as painless as possible. For data scientists, we continue to provide new Applied Machine Learning Prototypes (AMPs), which are open source and available on GitHub. These pre-built reference examples are complete end-to-end data science projects. In Cloudera Machine Learning (CML), you can deploy them with the single click of a button, bringing data scientists that much closer to providing value.

SAP’s library of pre-defined reports for Finance and Controlling (FICO) is great for addressing some of the core tasks associated with finance and accounting. Those reports align well with accounting standards under GAAP and IFRS. Unfortunately, they rarely do a good job of addressing the kind of reporting needed to make informed managerial decisions.

The use of application programming interfaces (APIs) is exploding across nearly every industry, and for a good reason. What was once primarily found only in technical domains is now becoming a key indicator of business growth. Whether your goal is to connect internal systems, personalize offers, or create innovative products, APIs are leading the way. The benefits are clear — but at what cost? Calculate The Cost Of Developing APIs From Scratch Calculate yours!

Retail analytics is transforming the bricks and mortar and e-commerce landscapes. From Amazon drones delivering your favorite cupcake the moment your sweet tooth starts to tingle to your local shop stocking the new GoPro just before you set up on a new adventure. In this article, we will explore the guiding principles of how data can be used to improve your retail business. But we will also make it actionable.

Our five key points: Most (if not all) Ecommerce businesses have a lot of data to keep track of. Sales data, inventory data, customer data, and more. If you're not careful, all that data can quickly become overwhelming. That's where data integration comes in. Data integration allows you to streamline your business by consolidating all your data into one easy-to-use system. This can help you make better decisions about your business and improve your overall efficiency.

As a very hands-on VP of Product, I have many, many conversations with enterprise data science teams who are in the process of developing their MLOps practice. Almost every customer I meet is in some stage of developing an ML-based application. Some are just at the beginning of their journey while others are already heavily invested. It’s fascinating to see how data science, a once commonly used buzz word, is becoming a real and practical strategy for almost any company.

GraphQL is a solid alternative to a traditional REST API, and offering one to your users may be easier than you think. Follow along as Kevin Cunningham builds a GraphQL endpoint with Node.js and MongoDB!

TL;DR: Setting up CI/CD pipelines for games made with the Godot engine is quite simple, thanks to the fact that it’s easy to work with Godot using the command-line interface. This means we can quickly install Godot on a Codemagic build machine and automate the export of Godot games, though we’ll need to specify some configurations as well. Let’s see how to automate Godot game projects! These past few months, I’ve talked about using Codemagic to build and publish Unity games.

Learn how to use Google Data Studio to build streamlined SEO dashboards for easier data tracking and making the most out of your SEO efforts.

In the first blog of the Universal Data Distribution blog series, we discussed the emerging need within enterprise organizations to take control of their data flows. From origin through all points of consumption both on-prem and in the cloud, all data flows need to be controlled in a simple, secure, universal, scalable, and cost-effective way.