With ever increasing data complexity, sources, and targets, enterprises are rightly trying to simplify their data stacks and workflows. Organizations want to build out their data fabrics with elements that work together, rather than spend time integrating various solutions.

As businesses strive to make data-driven decisions, the need for efficient and timely data integration practices becomes increasingly evident. Enter Change Data Capture (CDC), a technique that has revolutionized the way organizations handle data synchronization and integration.

Navigating the complex world of data, businesses often grapple with raw, unstructured information; this is where data wrangling steps in, turning chaos into clarity. Seamlessly intertwined with ETL processes, data wrangling meticulously refines and prepares data, ensuring it's not just ready but optimized for insightful analysis and decision-making.

Lately, AI and Machine Learning have been the most significant breakthroughs in the software testing space, and they will remain a hot topic for the foreseeable future.

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.

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.

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.

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.

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.

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.