API generation automatically creates an API based on pre-defined code and specific requirements, such as data access methods. APIs are the essential unit of a hybrid integration platform (HIP), an architectural approach to connecting everything or anything through a digital pulse. In this hustle to connect everything digitally, organizations need a process to acquire safe and secure APIs. API generation can make this happen, allowing companies to generate and deploy APIs without writing code.

Kong Ingress Controller (KIC) 3.2 is here, and it’s an incredible release. It contains features related to graph theory, features that mean you’ll never need a database again, and a whole host of quality-of-life fixes.

In the age of AI, enterprises are increasingly looking to extract value from their data at scale but often find it difficult to establish a scalable data engineering foundation that can process the large amounts of data required to build or improve models. Designed for processing large data sets, Spark has been a popular solution, yet it is one that can be challenging to manage, especially for users who are new to big data processing or distributed systems.

If you’ve ever tried your hand at growth marketing, you know that it takes hard work and experimentation to get consistent results. Plus, you have to constantly adapt your strategy to account for changes in trends, technology, and your audience. This principle especially rings true for software-as-a-service (SaaS) companies, where the market changes quickly. As a SaaS marketer, you might be feeling the pressure of adapting to the latest market trends.

Snowpark in Snowflake is a service that transforms data processing by allowing developers to write code in familiar languages like Python directly within the Snowflake, Inc. platform. The 5 key takeaways from this Snowpark article are: Of all Snowflake features, Snowpark has stood out in the data analytics environment by streamlining data processing and analytics workflows. It enables developers to write code directly within the Snowflake environment with non-SQL languages like Python and Java.

When major B2B providers realize that the cost of acquiring new clients is becoming prohibitively high, with much longer sales cycles, both mid-sized and large service providers have shifted their focus towards generating 70 to 85% of their annual revenues from existing accounts year after year. They ensure renewals of Statements of Work (SoWs) and secure a significant portion of new business from these accounts through account mining.

Data validation is essential to avoid unexpected behavior, prevent errors, and improve security. It can be performed both on a web page — where data is entered — and on the server, where the data is processed. In this tutorial, we'll explore data validation in the Node.js backend. Then, you'll learn how to implement it in Express using the express-validator library. Get ready to become a Node.js data validation expert!

As a veteran of the sports media industry with 35 years of experience at Deltatre, Carlo De Marchis recently delivered a thought-provoking keynote at our Fan Engagement Summit exploring the current state of fan engagement, the challenges faced by organizations, and the potential scenarios for the future of realtime fan engagement in sports and media. In the following video and post, Carlo shares what he presented at the Ably Summit with a re-recorded version of his presentation, and summary of key points.

In 2006, a revolutionary data solution emerged from France: Talend Studio. Over the years, it has become the worldwide industry standard in Data Transformation, Big Data, Application Integration, and API low-code design. Fast forward to 2023/2024, and Talend Studio proudly serves over 10,000 unique users worldwide.