Systems | Development | Analytics | API | Testing

Let Real-Time Data Visualization Drive Your Storytelling

Stories are the crux of effective communication. According to a Stanford University study, nearly two-thirds of people remember a story that’s part of a presentation. The study also found that speakers who merely present facts and figures only achieve a 5% recall rate among their audience. When your customers deliver analytics and reporting, the data visualization experience should be a memorable one.

Yellowfin 9.9 Release Highlights

With updates to our installer user interface (UI), advanced functions, filters and more, Yellowfin 9.9 is a must-have update to streamline and improve your analytics experience. The latest release brings a fresh look for the Yellowfin installer to make it easier to install and upgrade Yellowfin, along with additional enhancements added for existing parts of the suite, including new Custom Advanced Functions, predefined filters and Bookmarks.

One Big Cluster Stuck: Environment Health Scorecard

Throughout the One Big Cluster Stuck series we’ve explored impactful best practices to gain control of your Cloudera Data platform (CDP) environment and significantly improve its health and performance. We’ve shared code, dashboards, and tools to help you on your health improvement journey. We’d like to provide one last tool.

Accessing an SFTP Server Step-by-Step

Data breaches exposed a staggering 6 million records in the first quarter of 2023, underscoring the critical importance of secure information transfer. Whether you're exchanging data internally or with external parties, utilizing a secure method to share information is paramount to safeguarding it from compromise. In this article, we'll delve into the world of Secure File Transfer Protocol (SFTP), exploring how to access an SFTP server securely and everything you need to know to make it work seamlessly.

From Hive Tables to Iceberg Tables: Hassle-Free

For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. But as the data volumes, data variety, and data usage grows, users face many challenges when using Hive tables because of its antiquated directory-based table format. Some of the common issues include constrained schema evolution, static partitioning of data, and long planning time because of S3 directory listings.