Systems | Development | Analytics | API | Testing

See why Snowflake’s healthcare customers rate the Data Cloud high in performance and cost savings. Each year, KLAS Research interviews thousands of healthcare professionals about the IT solutions and services their organizations use. Since 1996, the analyst firm has been leading the healthcare IT (HIT) industry in providing accurate, honest and impartial insights about vendor solutions and customer satisfaction metrics.

With updates to our browser user interface (UI), Stories, report navigation and more, Yellowfin 9.10 is an update that further enhances your users' analytics experience. 9.10 brings significant updates. Browse Page UI has received a sleek makeover, simplifying navigation for reports, dashboards, and presentations, catering to both new and experienced users.

In the world of software development, there is an ever-growing need for agility and speed. With competitive markets and constantly evolving user needs, organizations can’t afford to waste time on the development cycle. This is where Continuous Integration (CI) comes in as an essential tool for modern software development practices.

Learn how Sauce Visual can help you highlight visual differences and simplify your test code — without ever leaving the world’s best Platform for Test.

Snowflake’s data cloud has expanded to become a top choice among organizations looking to leverage data and AI—including large language models (LLMs) and other types of generative AI—to deliver innovative new products to end users and customers. However, the democratization of AI often leads to inefficient usage that results in a cost explosion and decreases the business value of Snowflake. The inefficient usage of Snowflake can occur at various levels.

Organizations are transforming their industries through the power of data analytics and AI. A recent McKinsey survey finds that 75% expect generative AI (GenAI) to “cause significant or disruptive change in the nature of their industry’s competition in the next three years.” AI enables businesses to launch innovative new products, gain insights into their business, and boost profitability through technologies that help them outperform competitors.

Looking to take the load off your data engineers and IT pros? And help business users create and analyze datasets on their own? You’re in the right place. In this article, we’ll review the best self-service analytics solutions on the market today: We'll look at the main features of each tool, its pros and cons, its best use cases, and user reviews to help you make the right choice. Before we delve into each one, let’s set the tone of what to expect from a good service analytics tool.

Struggling to keep up with your organization’s hunger for data? That’s an obstacle that many data teams face when their data stack grows and they don’t have complete control over their complex data pipelines. If that’s a challenge you’re looking to solve, you’re in the right place. Below, we’ve curated our list of the best data observability tools every data team should know about.

Cyberattacks are terrifying because of their potential to wreak havoc on a massive scale. The interconnectedness that the internet provides can totally be exploited. Quality assurance teams around the world have to be prepared against such disastrous scenarios, so they sometimes launch authorized cyberattacks on their own systems to check for vulnerabilities. This process is known as penetration testing, or pen testing for short.