Distributed architectures have become an integral part of modern digital landscape. With the proliferation of cloud computing, big data, and highly available systems, traditional monolithic architectures have given way to more distributed, scalable, and resilient designs. In this blog, we look at what makes an application distributed and how distributed applications work to bring about high availability, scalability, and resilience.

Welcome back to Yellowfin Japan’s ‘How to?’ blog series! In our previous blog, we went through how to create big number and vertical column charts in Yellowfin, and the many different charting options available in Yellowfin Canvas. Before we re-visit our regular series, we want to share a shorter dashboard walkthrough.

We are thrilled to announce the release of Vera™ 2024.1! In this new version, we are introducing significant enhancements focused on audit history of domain role changes, streamlined Single Sign-On (SSO) login improvements, and improved Jira formatting support. We understand that maintaining stringent regulatory compliance while enhancing user experience are paramount concerns for any organization.

In this blog post, explore the unique challenges of Continuous Deployment in native mobile apps, including the complexities of app store distribution and rollback limitations, and discover insights on navigating these hurdles while striving for efficient CI/CD workflows in mobile development.

With the GA of Apache Spark stored procedures in BigQuery, users can extend their queries with Spark-based data processing via BigQuery APIs.

Many companies talk about cloud integration in a theoretical way. But cloud technologies aren’t theoretical. They’re a rapidly growing segment of technology that’s changing the way businesses operate. In the following article, we move from theory to practice so you can have a more realistic vision of what to expect when you move more of your on-site tech to the cloud.

The Apache Flink® community unveiled Apache Flink version 1.19 this week! This release is packed with numerous new features and enhancements. In this blog post, we'll spotlight some of the standout additions. For a comprehensive rundown of all updates, don't forget to review the release notes.

Enterprises looking to increase productivity and optimize business processes are increasingly turning to artificial intelligence (AI). AI can meet these expectations—but only with the right enabling technology. Intelligent automation at scale across the organization can offer a strategic approach to incorporating AI into complex business processes.

The fascination with Artificial Intelligence (AI)-driven devices that streamline tasks continues to captivate individuals, driving the perpetual evolution of technology. Among the latest innovations captivating the tech industry’s imagination are chatbots. These virtual agents represent a culmination of advancements in artificial intelligence, marking a paradigm shift in how we interact with technology.

In just a few months, enterprise AI has rapidly evolved into a strategic partner for organizations that want to stay ahead of the disruption curve. Whether enterprises are leveraging predictive analytics for strategic decision-making, using machine learning algorithms for supply chain optimization, or applying generative AI and large language models to enhance customer service, it’s clear AI will help business in many ways.