1. View all history of builds and its corresponding logs from the cubes. Because, I could not see the last build failure reason, if another build got started. I need to wait for another build to complete or fail. 2. View all history of changes and provide a way to revert as in Google docs for both the cubes and dashboards. Some times, if something went wrong, we should just be able to revert to the previous version and continue from there. 3. Provide a way to view the list of cubes in the queue waiting for the build. Also, allow remove or disable them for a period or rearrange the queue to build. This will help in prioritizing something manual on demand. 4. If a cube build fails due to the memory or other configurations issue, provide suggestions like what has to be changed and based on what before triggering another build. 5. Provide a page to derive the suggested the configurations like memory, cpu, timeouts etc by collecting details like 1. Number of cubes, 2. average cube size, max cube size, min cube size, or number of cubes by size range say <5g, <10G, <20G, <40G etc.., 3. Frequency of the build per cube etc.. 6. Provide a page to view all the slow running dashboards, slow running queries and some suggestions to improve it. 7. Some times, if a dashboard got changed and republished, it is not getting applied to all the users. Provide a way to view the version of the dashboard the user may view. 8. Between builds, if there is not much change in the data, Sisense build should go faster. Provide a way like one common place to build each table from other sources individually and keep it ready. From there, if we build say functional cubes, it should build in flashing fast using the locally stored data. I see the cubes are pulling the data faster from relational db but very slow from mongodb. Now, if we are pulling data from another sisense cube or from the source no big performance difference. 9. Also, I am not sure, if we are restarting the nodes, should we necessarily mark the cubes in queue as failed, instead adding back to the queue as it was before the restart and just marking the actual cube got failed should be good enough. More later .. Thanks, Muthusamy J ... View more

Can we get a "refresh schema for all tables" button? Reason: Our tables are usually "Select * From AnalyticsSchema.ViewName". We control which fields to return by editing the view, not the Sisense table definition. When a field gets added/removed/changed, we need to refresh schema. That's fine to do manually as you're working on that datamodel+views, but we need to refresh all when: We copy a datamodel to a different server. We need to refresh schema at least to double-check that the views are as expected on the new server. (If any fields have changed, then I'll need to go fix any widgets using those fields, or, more likely, update the view to include them.) A view gets edited, perhaps for a different datamodel, and my datamodel hasn't been updated.  I edit several views and want to refresh schema for all those Sisense tables. If I've changed used fields then I'll need to go into each table manually anyway so it doesn't matter, but I've had a case where I've removed unused fields from several views and now I need to click refresh schema on every table individually. ... View more

When viewing a datamodel, there's a button to view as "List" instead of "Diagram". I sometimes use that when I need to methodically check each table. When I first open the datamodel the sort is arbitrary, so I click to sort by Name to go through them alphabetically. It'd be handy if it remembered my choice from my previous session. ... View more

Currently, the "Upsert" build behavior is only available for Build to destination. It would be great if we were able to utilize this feature in our Elasticube model where we are not building to destination. We have numerous tables containing created date as well as updated date that are attached to an id field but are unable to use the updated date field since this will bring in duplicate (or more) rows per id which we can not have. Ranking duplicates and filtering out is not a sustainable with the size of our datasets. The ability to look at the id and updated field would solve this issue without the need for a complex workaround in our data source (Big Query). Thank you! ... View more

I have a data model with lots of tables (more than 30). That makes the UI painfully slow, e.g. when editing relationships. I think the reason is that it’s calculating where to place them on the screen. I’d like to request an alternative, crude interface that doesn’t slow down for lots of tables. Or make it work for lots of tables – e.g. do the positioning calculations when first opening, but not each time I resize or click on something. ... View more

Hi, I have gone through your connection update process for live models. But As I discussed with sisense team, they don't have any single API for updating connection. As per current scenario we need to follow multiple steps like below:- 1. Get table by: GET /datamodels/datamodelId/schema/datasets/datasetId/tables/tableId. response => tableResult 2. Override table by PATCH /datamodels/datamodelId/schema/datasets/datasetId/tables/tableId} where body = tableResult from the step 1. Only after performing the above steps, you can use PATCH/datamodels?/datamodelId?/schema?/datasets?/datasetId to update the schema for this dataset. So I just want to proposed one idea here that we can use multiple option here like below:- 1. We can provide any Key Vault connectivity for each model where we can store our connection details and we can use them for our model connections. 2. We also can provide a single API where our connection can we updated for all relevant objects & model it self. ... View more