While our discussions have previously highlighted the unique analytics challenges and opportunities within industries such as automotive, healthcare, and kids' gaming, today, we turn our focus to the finance sector. In this article, we’ll zoom in on analytics challenges in the finance world, and we’ll answer why Countly is exceptionally suited for product analytics in the financial sector.

The Fivetran REST API makes it a breeze to automate the deployment, configuration and management of connectors, saving you time and effort.

Rate limiting is a fundamental mechanism for controlling the number of requests a client can make to a server in a given time frame. In a world where more than 30% of web traffic comes from malicious bots, that proactive strategy is critical to protect servers from abuse. In this tutorial, you'll delve into the concept of rate limiting and understand why you need it in your Node.js backend. Then, you'll learn how to implement it in Express to block or slow down incoming excess requests.

The digital landscape has witnessed an explosion of APIs in recent years. These powerful tools act as the glue binding applications together, facilitating data exchange and powering our interconnected world. But with this rapid rise comes a growing concern: securing these APIs to safeguard sensitive information. In our recent webinar at SmartBear, "Defend Your APIs: Secure by Design," API experts Frank Kilcommins and Yousaf Nabi unpacked some critical strategies for keeping your APIs safe.

ATLANTA, April 2024 - Katalon is a leading provider of the most modern, comprehensive software quality management platform. The company announced that it was named as a Representative Vendor in the 2024 Gartner® Market Guide for AI-Augmented Software Testing Tools for the second year in a row.

All the reasons why backend development today feels harder, or, at the very least, vastly more complex than 20 years ago.

Looking to convert xlsx to csv quickly and efficiently? This guide cuts through the complexity to present you with reliable methods for file conversion, be it through familiar applications like Microsoft Excel or through versatile online tools. Discover straightforward steps, anticipate possible conversion challenges, and learn how to navigate them seamlessly. Get ready to transform your data with ease.

A data quality framework is a set of guidelines that enable you to measure, improve, and maintain the quality of data in your organization. The goal is to ensure that organizational data meets specific standards, i.e., it is accurate, complete, consistent, relevant, and reliable at all times—from acquisition and storage to subsequent analysis and interpretation. eBook: A Guide to Data Quality Management Download eBook.

If you’ve tried building real-world features with AI, chances are that you’ve experienced reliability issues. It’s common knowledge that AI makes for great demos, but… questionable products. After getting uncannily correct answers at first, you get burned on reliability with some wild output and decide you can’t make anything useful out of that. Well, I’m here to tell you that there’s hope.

In the cloud data platform environment, Snowflake has carved out its place as a scalable, flexible, and efficient solution. At the heart of its offering is an ecosystem designed to meet the diverse needs of modern businesses. This includes everything ranging from data storage and analysis to complex data science projects. Snowflake simplifies these data operations and provides a robust foundation for innovation and growth.