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.254Views1like0CommentsSisense version L2024.3 is now GA for all customers
SRV Connection String Support in MongoDB Connector The MongoDB connector for ElastiCubes now supports the SRV connection string Sisense Mobile App version 3.0.2 has been released Improvements to: Audit Logs, Build, Database, Data Models, Export to Excel V2, Git, and Infra. Many fixes, see the Release Notes. Link to L2024.3 Release Notes Link to L2024.3 full release content (Jira) Link to L2024.3 bug fixes (Jira) Installation links: Generic version link Offline RKE link Provisioner link862Views0likes0CommentsHave 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.95Views1like0CommentsDeprecation Notice: Direct Access to Sisense Internal MongoDB
Sisense is deprecating direct connections to its internal MongoDB and related data models to enhance stability, security, and scalability. This does not impact external or customer-managed MongoDB sources, which remain fully supported.165Views0likes0Comments