Written by Lauri Hänninen |
We recently held a webinar that explored how to build real-time, multi-tenant analytics. If you weren’t able to attend or want to watch it again, you can access it here.
During the event, we covered:
- How to create a customer-facing analytics solution programmatically using declarative APIs
- How to establish hierarchies in your metadata with multi-tenant analytics
- How to quickly embed analytics into an application with GoodData.UI
As with all of our webinars, we encouraged attendees to ask questions throughout the event, helping to explore specific topics in more detail.
Continue reading for a list of the top questions and answers related to building real-time, multi-tenant analytic solutions.
Is the data source connection in GoodData always done via API? Or can it be done via GUI, too?
We are continuously updating the product. Managing data sources on the UI is on our roadmap and it will be launched in the upcoming months.
What data sources does GoodData support?
Currently, you can use the following data sources with GoodData Cloud Native:
- Apache Drill
You mentioned a metric store. Does this mean that the metrics can be consumed outside of GoodData?
Yes, all metrics created in GoodData can be consumed via any data tool that can connect to the PostgreSQL database. This includes BI tools like PowerBI and Tableau as well as Data science tools like Jupyter and RStudio.
You can read more about headless BI on our website.
There were about 10 visualization types in the visualization builder you showed. What if I need more types for my use case?
You can read more about the dashboard plugins here.
What exactly can be done via APIs with GoodData?
Everything that can be done via GUI and much more. You can find the OpenAPI definitions of our API endpoints here.
Can you provide more details about MAQL?
Multidimensional Analytical Query Language, or MAQL for short, is our proprietary querying language. To learn more, you can check our documentation, our article “MAQL: Composable, Reusable Analytics Queries,” or visit our university course.
The child workspaces share the semantic model, insights, metrics, and dashboards with the parent workspace. What if I want to provide more advanced analytics for certain customers?
If some of your customers need more advanced analytics (e.g., insights, metrics, dashboards, etc.), you can have different parent workspaces for different use cases. The recommended way is to provide different tiers of your analytics. You can have a parent workspace for a basic tier (free) and then a parent workspace for a professional tier (paid). The professional tier can then offer more complex insights and dashboards which allows you to create extra revenue streams.
Do you have any additional resources regarding embedding and GoodData.UI that you could share?
What SDKs do you offer?
Are workspaces the only solution for filtering data for each user? What if we simply need to have embedded charts with a user’s data without giving them access to edit the workspace?
You can use data permissions (row-level filters) to control what data a user can access in their GoodData workspace. This means that users can only see relevant data records with their assigned data permissions. This is incredibly useful for many of our clients as a single workspace can host a variety of users who need different data permissions applied.
Ready to begin building a real-time, multi-tenant analytics solution? Register for GoodData Free and get started today.
Written by Lauri Hänninen |