Systems | Development | Analytics | API | Testing

Generative AI doesn’t just work with unstructured data.

At Confluent, we are committed to enhancing our product to meet the evolving needs of our customers. In the last year we’ve seen substantial increases in both UI users and UI usage. With such high growth, we’ve been looking for ways to improve experiences where we can. Based on internal and external validation, the Confluent Cloud Homepage was specifically identified as an area that could be improved.

At Snowflake, we are committed to helping customers derive meaningful insights from data with simplicity and speed. That’s why we’re thrilled to announce the general availability of our enhanced RANGE-based window frame, which will help accelerate time-series analytics. For customers across industries, the ability to perform time-series analytics is crucial. This often involves calculating rolling statistics that remain robust despite gaps or nonuniform time-series data.

Privacy and security are top priorities for Unravel and our customers. At Unravel, we help organizations better understand and improve the performance, quality, and cost efficiency of their data and AI pipelines. As a data business, we appreciate the scope and implications of privacy and security threats. This data sheet provides details to help information security (InfoSec) teams make informed decisions. Specifically, it includes: For additional details, please reach out to our security experts.

What comes to mind when you think of an outdated website? Your answer will depend on how far back you’ve seen the internet, but it could range anywhere from glossy interfaces to the default blue, Times New Roman links. But even a few years of age could put your website behind the competition, even if it doesn’t look like MySpace or the first version of IMDB. Its audience and goals could outgrow its design, especially if you don’t make small changes often.

New BigQuery continuous queries execute continuously processing SQL statements as events arrive, for insights that are always up to date.

API testing is the process of verifying that APIs are working and performing as expected. Developers and QA engineers test APIs by sending requests to various API endpoints and validating the responses against expected outcomes. The goal is to determine if the APIs meet the set standards for functionality, performance, scalability, and security. This process includes testing the “happy path” scenarios and negative cases to ensure proper security checks are in place.

The Snowflake AI Data Cloud is an end-to-end platform that supports all types of data, compute, use cases and personas across an entire organization. By delivering a single, unified platform for all users, it is no surprise that organizations continue to expand their use cases on Snowflake. And therefore, it is extremely important for us to reaffirm our commitment to price-performant queries for our customers on a consistent basis.