Systems | Development | Analytics | API | Testing

Agile and Waterfall are two popular project management methodologies. Agile suits projects that require flexibility and frequent updates, while Waterfall is ideal for projects with clear, unchanging requirements. Let’s explore further the differences between these 2 approaches!

Understanding API design is crucial for modern software development. Two popular approaches are GraphQL and REST. These technologies shape how data is exchanged and used over the internet, but they differ significantly in how they allow clients to interact with the server and retrieve data. Let's compare them in this article!

At Snowflake, our product philosophy is centered on a single unified platform, and thus, a single core engine. To support all your workload needs with unmatched performance and efficiency, we continuously enhance and deliver performance improvements on this core engine. This approach allows you to benefit from enhanced performance effortlessly, without incurring additional costs or requiring migrations, upgrades or manual intervention.

Digitalization, as we’re talking about in this article, refers to the strategic use of digital technologies and analytics to shift customer interactions from physical locations to digital platforms like apps and online services.

Check out Ken Ahrens and Scott Moore as they discuss some blockers of developer productivity when building in Kubernetes, and how removing environment and data challenges can reduce toil and frustration! You can catch the full podcast on Scott’s page here: Scott Moore: Hey everybody out there in internet meme land. It’s time to hide your kids and hide your wife because it’s time for the SMC Journal podcast. Some of you will get that joke. Others will not.

In 24.2, we introduced our enterprise copilot. Enterprise copilot allows you to upload business documents and collect them in knowledge sets. From there, you can ask questions about information in these documents and receive answers quickly. For instance, an organization with a heavy regulatory burden could upload legislative and operational documents. Then, these employees could get insights from Appian AI Copilot to ensure they adhere to compliance requirements.

Ramkumar Nottath, the Senior Solutions Architect at AWS, beautifully puts it. And that’s where low-code or no-code ETL platforms can help—to make the data consumable and democratize it. In this blog, I explain low-code vs. no-code from my experience.