Systems | Development | Analytics | API | Testing

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What is Apigee API: How Does It Work?

APIs play a crucial role in SaaS product’s ability to communicate with internal and external applications. APIs have revolutionized the ways in which applications communicate, exchange data, and how software developers and providers structure their systems and products. But managing the large flow of data and information while ensuring data protection and minimal downtime is no easy task.

What Is Automated Regression Testing, and How Do You Get Started?

Adding new features or enhancements to an app is a good thing – unless the changes trigger an unexpected problem. To protect against this risk, QA teams and developers can leverage automated regression testing, which offers a fast and efficient means of confirming that software upgrades or changes don't introduce bugs into applications.

Layered Security Strategy for Managing APIs

This post is part of a series on becoming a secure API-first company. For a deeper dive, check out the eBook Leading Digital Transformation: Best Practices for Becoming a Secure API-First Company. As APIs have become mission-critical, securing them against threats is crucial. APIs are an attractive target for attackers, and a single vulnerability can expose an organization's most sensitive information assets. To properly secure APIs, we have to move beyond basic perimeter defenses.

Why QA And Mobile App Testing Is Important For AR, VR, And MR Products?

The emergence of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) have enabled the world to immerse into the true digital experiences, blurring the lines between the physical and virtual worlds. While AR overlays digital content in the real world, VR creates entirely immersive digital environments, and MR brings together the elements of both. In the last few years, there has been a dynamic surge in the adoption of AR, VR, and MR technologies.

Introducing the SQL AI Assistant:Create, Edit, Explain, Optimize, and Fix Any Query

Imagine you’ve just started a new job working as a business analyst. You’ve been given a new burning business question that needs an immediate answer. How long would it take you to find the data you need to even begin to come up with a data-driven response? Imagine how many iterations of query writing you’d have to go through. In this scenario, you also have reports that need updating as well. Those contain some of the biggest hair-ball queries you’ve ever seen.

Our architectural approach to support multi-product strategy

Databox is mostly known for its business analytics and visualization capabilities. As a single-product company for the majority of its existence, it was developed in a way that catered to just one product. As the company began its path as a startup, it was convenient to keep the architecture simple and flexible to quickly adapt to change and align direction if needed to ensure business success.

Announcing Cloudera's Enterprise Artificial Intelligence Partnership Ecosystem

Cloudera is launching and expanding partnerships to create a new enterprise artificial intelligence “AI” ecosystem. Businesses increasingly recognize AI solutions as critical differentiators in competitive markets and are ready to invest heavily to streamline their operations, improve customer experiences, and boost top-line growth.

Establishing A Framework For Effective Adoption and Deployment of Generative AI Within Your Organization

Adopting and deploying Generative AI within your organization is pivotal to driving innovation and outsmarting the competition while at the same time, creating efficiency, productivity, and sustainable growth. Acknowledging that AI adoption is not a one-size-fits-all process, each organization will have its unique set of use cases, challenges, objectives, and resources.