Systems | Development | Analytics | API | Testing

Tackling Data Sprawl & Mitigating Risks: The Data Dynamics Connection

In today’s fast-paced world, businesses face the challenge of managing the ever-expanding volume of data at their disposal, an issue that often hinders their ability to derive the critical and accurate insights they need to thrive and stay competitive. Driven by the monumental rise of generative AI, cloud services, remote work, and IoT devices, most organizations expect their data to double by 2025.

Top 7 data visualization examples you need to know

Data is key to building resilience and achieving operational excellence—but first, your data must be intelligible. Luckily, modern BI solutions have intuitive interfaces that allow business users to build interactive data visualizations and contextual data stories. With this knowledge at their fingertips, your entire organization is empowered to make data-driven decisions.

Snowflake Customers Rank Cost-Effectiveness and Ease-of-Use as Top Benefits in New KLAS Research Report

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.

Yellowfin 9.10 Release Highlights

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.

Polyglot Architecture | Microservices 101

Polyglot Architecture is a feature of microservices that allows each microservice to be built using a different technology stack. This approach provides developers the freedom to select the best tools for the job and allows them to be more creative with their solutions. However, like with any powerful tool, it can have negative consequences if it isn't used properly. CHAPTERS.

Announcing Unravel for Snowflake: Faster Time to Business Value in the Data Cloud

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.

Top 4 Challenges to Scaling Snowflake for AI

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.