Embedded system software developers have a difficult job. For one, the work itself is challenging — embedded systems must withstand numerous updates to their environment to function properly. Plus, when something goes wrong in development, those higher up the chain tend to look at developers rather than the tools the team is using. You can’t solve new problems with old tools, and they are often at the root of a team’s mistakes or delayed releases.

We are now deep into our most anticipated event of the year, Kong Summit 2021 (there’s still time to register for Day 2!). More than 4,000 people have registered from 87 countries for the virtual event. After a full day of knowledge and surprises, we are excited to recap the most memorable moments from today.

It’s official (well, according to the gospel that is Stack Overflow): Svelte is the world’s favorite web development framework. According to a snapshot of over 80,000 devs carried out in May, this relatively new user interface tool is now more popular than established behemoths like React.js, Django and Vue.js. Programmers love its open-source convenience, its code-efficiency and its super-smart compilation, which generates an optimised JavaScript code based on your manual submissions.

Feature stores have arrived in 2021 as an essential piece of technology for operationalizing AI. Despite the enthusiasm for feature stores in high-tech companies, they are still absent from most legacy ML platforms and can be relatively unknown in many enterprise companies. We discussed how feature stores are critical to the data-first approach of next-gen ML platforms in our previous blog, but they are important enough to get their own treatment in a full article.

Last month, we unveiled Appian 21.3 with new product enhancements that help customers develop apps and automations even faster. And now, we’re excited to announce updates to Appian RPA that simplify the already-easy Appian low-code experience even more—including the reveal of the new Appian RPA task recorder that allows you to record browser automations right from your workflow designer.

We talk about risk like it’s a bad thing. But all innovation involves risk. Which isn’t necessarily bad. Not if the consequences of being wrong about it don’t pose an existential threat. But businesses everywhere are struggling to cope with doomsday scenarios such as climate change, cyber smash-and-grabs, the global COVID-19 crisis, and more.

Reverse ETL and customer data platforms (CDPs) are two big data trends that have been receiving a great deal of attention. While both CDPs and reverse ETL can help you make smarter data-driven decisions, there are also several crucial points of distinction. In this article, we’ll answer the question: what’s the difference between reverse ETL and a customer data platform?

Migrating analytics workloads to the public cloud has been one of the most significant big data trends in recent years—and it shows no sign of slowing down any time soon. According to a study by IT research company Forrester: Within three years, however, Forrester predicts that the fates will have reversed: Of course, before data can be processed in the public cloud, it has to get there in the first place via data migration.

Cloudera Data platform (CDP) provides a Shared Data Experience (SDX) for centralized data access control and audit in the Enterprise Data Cloud. The Ranger Authorization Service (RAZ) is a new service added to help provide fine-grained access control (FGAC) for cloud storage. We covered the value this new capability provides in a previous blog.

Unless you’ve hidden under a rock for the past decade, you can’t have failed to notice that data in today’s enterprise is very much alive. It’s always moving, constantly changing, and we’re continually using it to create new business value. However, while data fluidity and visibility have blossomed, the opportunity to use that data to drive business actions seems to have withered in comparison.