Sisense's Journey to Automated Testing with Playwright
This article aims to delve into the rationale behind our decision, explore the benefits of Playwright over other frameworks, and provide insights into the structure of our test framework based on Playwright. By sharing our experience, we hope to offer valuable guidance to other teams seeking to optimize their testing processes with a robust and efficient automation solution.
Snowflake Optimization Techniques for High Performance Low Latency Dashboards
What makes the Sisense and Snowflake relationship powerful is the ability to optimize Snowflake to produce a high performance, low latency dashboarding experience that allows data consumers to continue getting insight into the valuable data they need.Snowflake Architecture Patterns for Secure Self-Serve BI Experiences
What makes the Sisense and Snowflake relationship powerful is the ability to use multiple databases in conjunction with designated warehouses allows for dynamic architecture patterns to be developed to serve your self-serve BI needs. Learn more in the Sisense Community!From BI to AI with Sisense: Principal Component Analysis (PCA) Part II
In From BI to AI with Sisense: Principal Component Analysis (PCA) [Part I], we explored the theory behind Principal Component Analysis (PCA). In this second and concluding article, we will look at a specific example of performing PCA using Sisense Notebooks.
