An API model acts as a blueprint for building scalable and maintainable software interfaces. In this article, you’ll discover how to design, implement, and validate a robust API model, including the use of AI models. We’ll cover key concepts like API modeling, essential components, user identification, and best practices.

The latest version of Linx is out.

History is full of dynamic duos like peanut butter and jelly or Batman and Robin—but is it time to add APIs and ERPs to the mix? According to a 2019 study by Cloud Elements, APIs and ERPs are essential to modern business strategy. 55 percent of respondents believe that API integrations are “critical” to their operations. What’s more, the survey’s participants say that ERPs are one of their top three business use cases for API integrations.

I’m happy to share that Snowflake has signed the Cybersecurity and Infrastructure Security Agency (CISA) Secure By Design Pledge as we champion the advancement of industry standards for security in technology design. The CISA pledge to foster tech-ecosystem security deeply aligns with Snowflake’s own product design ethos, where security is built in from the start.

In today’s regulatory environment, organizations are compelled to adopt stringent security measures to mitigate the risk of PII (Personally Identifiable Information) data breaches in their production environments. However, the pressure to provision more test data in non-production environments, often sourced from production data, has introduced new vulnerabilities.

Modern data platforms enable enterprises to extract valuable business insights from data, sourced from various origins. Data engineers, data scientists, and other data practitioners utilize both data streaming and batch processing frameworks as a means to provide these insights. While batch processes work on historical data, stream processing extracts insights in real time, enabling businesses to react faster with respect to changing events.

Manufacturing has been one of the most prominent industries worldwide since the Industrial Revolution. Since then, from producing textiles to computer chips, manufacturers have always looked for ways to innovate. In the age of AI and APIs (or application programming interfaces), tech companies are looking for technological breakthroughs to gain an edge over the competition.

Ever wondered why your favorite websites are so fast and responsive? It all boils down to how they handle DOM manipulation. The Document Object Model (DOM) represents your web page as a structured tree. Traditionally, we used JavaScript methods like getElementById or removeChild to make changes. But as websites get more complex, these methods can slow things down. Enter React, with its game-changing Virtual DOM.

At the heart of BPA is automation, which drives efficiency and reduces manual effort. Key elements to look for include: Effective data management is crucial for informed decision-making and operational efficiency. The right platform will offer a strong data fabric architecture to make this possible. A data fabric combines data management, integration, automation, and low-code development tools to build impactful and data-rich digital solutions.

Internal app sharing is a crucial step in ensuring the quality and functionality of applications before their public release. With the upcoming discontinuation of Microsoft's App Center, developers are looking for robust alternatives that streamline the distribution process and address common challenges faced during internal testing phases. This post explores the intricacies of internal app sharing, highlighting common obstacles and reviewing platforms designed to simplify the process.