Outer joins (preview) - Release notes
An outer join (left, right, full) combines data from two tables, including all matching rows and any unmatched rows from one or both tables, filling in NULL for missing data. Analytical platforms use outer joins to achieve: Broader analytical capabilities: Ensure all relevant data is visible, even if there is no exact match in another table (e.g., view all products, including products with no sales). Identify Gaps: Easily spot data integrity issues and missing information or relationships, which is crucial for analysis and reporting.QBeeQ Snowflake Monitor: Understand your Snowflake costs and get more value from every credit
QBeeQ Snowflake Monitor, a new Sisense plugin designed to help you bring clarity and control to your Snowflake spend directly within your Sisense environment. Sisense customers can easily connect to their existing Snowflake Account Usage and Organization Usage schemas, no custom ETL pipelines or workarounds required.
Have you heard about Sisense Intelligence?
Sisense Intelligence is a new suite of AI-powered tools that help product managers and developers build smarter, more intuitive analytics experiences. Features like natural language dashboards, automated insights, forecasting, and data explanations accelerate every stage of the analytics journey. Designed for seamless integration, it empowers teams to deliver fast, user-friendly insights at scale.
Sisense Cloud Security Action Plan
Recently, Sisense experienced a security incident that prompted us to take immediate steps to enhance the security measures for the impacted Cloud Customers. As part of our response, we are issuing this article to ensure that your systems remain secure. It is crucial that certain credentials and configurations are updated promptly.
