Sharing the datacube with multi tenants
Hi Team, I am currently implementing multi-tenancy in Sisense and sharing a single Elasticube across multiple tenants while enforcing Row-Level Security (RLS). The goal is to ensure that each tenant only accesses their respective data while using the same cube. I successfully shared the Elasticube with Tenant1, but when trying to access it, I get the following error: Error Loading Model Unexpected error value: { isOperational: false, message: "Request failed with status code 500", code: undefined, statusCode: 500, method: {some html tags and ids} Contact your system administrator for more information. The error persists even after confirming that: The Elasticube is correctly shared with Tenant1. Tenant1’s users, designers, and admin have access permissions. Multi-Tenancy is enabled in Sisense. Has anyone faced a similar issue when sharing an Elasticube across tenants? Any insights or suggestions would be greatly appreciated! Thanks in advance for your help.
Suggestions for Improving Dashboard Performance with Big Datasets
Hello Everyone, I’m currently working on a dashboard that involves processing and visualizing very large datasets (around 50 million rows), and I’m encountering some performance issues. The dashboard loads slowly, and some widgets take a long time to render or fail to load altogether. I’m hoping to get advice on best practices for optimizing both the dashboard’s performance and the speed of querying these large datasets from the community. Here’s a bit more context on my current setup: I’m using Sisense version [Insert version here]. The data is sourced from [Insert your data source, e.g., SQL Server, Redshift, Google BigQuery]. I’ve implemented aggregations to reduce data size but still see lag when filtering. My widgets are a mix of bar charts, line graphs, and pivot tables, each pulling different slices of the dataset. I’ve tried adding filters to the dashboard to limit the data being loaded, but the performance improvement is minimal. Here are a few specific questions I have: What are the most effective methods for improving the performance of dashboards that rely on large datasets in Sisense? Are there any strategies or configurations I should consider at the data model level that might help streamline query execution? Could using ElastiCubes versus live data models influence performance in a significant way for datasets of this size? If so, how should I decide which approach is best? Any recommendations for managing slow-loading widgets? Would simplifying the widget calculations help? I’d appreciate any insights or resources you could share that might help me tackle these gen ai challenges. Thank you in advance.Sisense is Getting a Customer Newsletter! We want your input!
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