In this guide, we help you navigate the API landscape with confidence as a developer. This no-nonsense guide spotlights RESTful, SOAP, and GraphQL APIs and their roles in optimizing your projects. We discuss best practices and integration strategies that can refine your development toolkit, helping you build resilient, interconnected software systems with ease.

We’re pleased to announce the launch of Snowflake Notebooks in public preview, a highly anticipated addition to the Snowflake platform tailored specifically to integrate the best of Snowflake within a familiar notebook interface. Snowflake Notebooks aim to provide a convenient, easy-to-use interactive environment that seamlessly blends Python, SQL and Markdown, as well as integrations with key Snowflake offerings, like Snowpark ML, Streamlit, Cortex and Iceberg tables.

Snowflake announced the global winners of the sixth annual Data Drivers Awards, the premier data awards that honor Snowflake customers who are leading their organizations and transforming their industries with the AI Data Cloud. This year’s winners of the Data Drivers Awards include data leaders from across global organizations, including Caterpillar, Bentley, Mitsubishi Corporation, Zoom and more.

As organizations build more APIs, manual processes and frequent handoffs in the API development workflow can lead to a slower time to market, higher development costs, and poor-quality APIs. They can also result in APIs being poorly documented, causing poor API adoption and lower revenues. APIOps aims to address these issues by automating the entire API lifecycle, leveraging DevOps and GitOps principles. But what is DevOps, and what is GitOps?

The concept of insurance predates the printing press and the steam engine. So it's likely no surprise that the industry — as obviously adaptable as it is — often faces challenges related to the modernization of legacy systems. In the age of AI and APIs (application programming interfaces), streamlining operations and modernizing are paramount to success.

It's hard to overstate the importance of Cascading Style Sheets (CSS) for all websites. Since the first CSS standards were published in late 1996, we have come quite far regarding features and ecosystems. Several frameworks have appeared and proved popular, one of the most recent being Tailwind CSS. In this post, we'll first examine Tailwind's utility-first approach before diving into how to use it in a Ruby on Rails application.

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream. Depending on the source and purpose of the data, an event could be a single user visit to a website, a new post on a social media platform, or a data point from a temperature sensor.