Snowflake is a modern, robust data platform for cloud data management that provides users with the opportunity for unique scalability, flexibility, and performance. However, keeping costs under control is crucial to maximize the benefits on offer with this platform.

Securing access to external resources within private networks—whether in other public clouds or on-premise data centers—is a key use case for applications and APIs deployed on the Choreo cloud data planes. Today, we are simplifying the process of creating and managing secure VPN connections from the Choreo cloud data planes to any external network with Tailscale, a renowned and trusted WireGuard VPN provider.

Learn how to use BigQuery DataFrames together with LLMs to generate synthetic data right inside of BigQuery.

In the current constantly evolving hybrid cloud enterprise business environment, reliable and efficient infrastructure services for consulting, implementation and operations are critical for organizations to thrive. Whether you're a small startup or a large enterprise, choosing the right infrastructure services provider can significantly impact your operations, scalability, and overall success. Here’s what to look for in an enterprise infrastructure services provider.

Last year at Summit, we announced the public launch of the Snowflake Performance Index (SPI), an aggregate index for measuring real-world improvements in Snowflake performance experienced by customers over time.

Black box testing is a testing method where testers evaluate the quality of a system without knowledge of its internal structures. The system is a “black box”: they know what it does, but not how it achieves those results. In this article, we’ll learn more about black box testing in-depth, the common techniques used, and black box testing best practices.

Due to their ability to enable parallelism and asynchronous execution, threads have an essential role in efficiently utilizing multi-core processors. Without them, handling concurrent tasks in modern applications like real-time inference in IoT or Asynchronous I/O in AI/ML would neither be feasible nor imaginable. The arrival of virtual threads has further grown such possibilities by eliminating the sole dependency on operating system threads.