For organizations that generate large amounts of data, implementing a cloud database solution is a critical step towards enabling performant and cost-effective data storage, transformation, and analytics. Choosing the right cloud database solution involves careful consideration of features, capabilities, costs, and use cases to ensure alignment with your organization’s needs and objectives. This blog post features an in-depth comparison of four popular cloud database solutions: Databricks vs.

Customer experiences matter. And many businesses struggle to improve them. More often than not, a bad process is to blame: manual tasks, data spread across too many systems, or even just old ad hoc workflows that linger on because that’s how it’s always been done. But the cost of ignoring these issues is high.

This guide provides a streamlined approach to the API development process, detailing the essential phases from the initial concept to the realization of a fully operational API. You’ll discover how to plan, design, and implement your own API and ensure it’s reliable and secure. With practical insights and actionable advice, you’ll learn the nuances of API development, from understanding the needs of your users to creating a scalable infrastructure that can handle growth.

Live testing is to test software in real-world situations with real users instead of simulated data. This approach allows testers to check software quality in actual usage scenarios and real-world conditions. They do have their own risks to take into consideration, since we are interacting with real users and live systems here. In this article, we will explore the concept of live testing in-depth, and how you can better do live testing with the right tools and approach.

The regulatory and business demands of financial services require teams to collaborate with consistency and accuracy—a difficult task when it comes to enterprise risk management (ERM). Business units often complete their risk management strategic objectives independently, and since each may have its own taxonomies and processes, human errors may go unnoticed, increasing potential risk.

API design principles are models for building strong connections in a digital world where APIs bridge gaps between systems. This article strips down the complexity of API design to present you with the tried-and-true principles that ensure functionality, reliability, and ease of use. Learn to lay the foundations of a great API without the guesswork so you can focus on what truly matters: crafting an exceptional tool that seamlessly integrates and scales with technological demands.

To effectively guide the evolution of a software system and ensure its long-term stability and maintainability, it’s crucial to understand the phenomena of architectural drift and erosion.

Streaming refers to any media content—live or recorded—delivered to computers, TVs, and Mobile devices via the internet and played back in real-time. Streaming services often require fees, either per view or subscription. Streaming continuously transmits audio or video files from a server to a client. In simpler terms, streaming happens when consumers watch TV or listen to podcasts on Internet-connected devices. We have two types of streaming – audio and video.

On April 24, we released Snowflake Arctic with a key goal in mind: to be truly open. In line with that goal, the Snowflake AI Research team is writing a series of cookbooks to describe how to pretrain, fine-tune, evaluate, and serve large-scale mixture-of-experts (MoEs) such as Arctic.