Constructing Actual-time, Multi-tenant Analytics: 10 Questions and Solutions

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We just lately held a webinar that explored learn how to construct real-time, multi-tenant analytics. Should you weren’t capable of attend or wish to watch it once more, you may entry it right here.

Throughout the occasion, we coated:

  • The right way to create a customer-facing analytics resolution programmatically utilizing declarative APIs
  • The right way to set up hierarchies in your metadata with multi-tenant analytics
  • The right way to rapidly embed analytics into an utility with GoodData.UI

As with all of our webinars, we inspired attendees to ask questions all through the occasion, serving to to discover particular matters in additional element.

Proceed studying for a listing of the highest questions and solutions associated to constructing real-time, multi-tenant analytic options.

Is the info supply connection in GoodData all the time finished by way of API? Or can it’s finished by way of GUI, too?

We’re constantly updating the product. Managing information sources on the UI is on our roadmap and it will likely be launched within the upcoming months.

What information sources does GoodData help?

At the moment, you need to use the next information sources with GoodData Cloud Native:

  • Snowflake
  • BigQuery
  • Redshift
  • PostgreSQL
  • Vetica
  • Dremio
  • Apache Drill

You talked about a metric retailer. Does this imply that the metrics may be consumed exterior of GoodData?

Sure, all metrics created in GoodData may be consumed by way of any information software that may hook up with the PostgreSQL database. This contains BI instruments like PowerBI and Tableau in addition to Information science instruments like Jupyter and RStudio.

You may learn extra about headless BI on our web site.

There have been about 10 visualization sorts within the visualization builder you confirmed. What if I would like extra sorts for my use case?

We offer the most typical visualization sorts out-of-the-box as a result of they’re normally ample for many prospects. However when you want one thing further, you may all the time use our Dashboard Plugins or GoodData.UI JavaScript library so as to add visualizations from third celebration libraries.

You may learn extra in regards to the dashboard plugins right here.

What precisely may be finished by way of APIs with GoodData?

All the things that may be finished by way of GUI and way more. You could find the OpenAPI definitions of our API endpoints right here.

Are you able to present extra particulars about MAQL?

Multidimensional Analytical Question Language, or MAQL for brief, is our proprietary querying language. To be taught extra, you may verify our documentation, our article “MAQL: Composable, Reusable Analytics Queries,” or go to our college course.

The kid workspaces share the semantic mannequin, insights, metrics, and dashboards with the father or mother workspace. What if I wish to present extra superior analytics for sure prospects?

If a few of your prospects want extra superior analytics (e.g., insights, metrics, dashboards, and so on.), you may have completely different father or mother workspaces for various use circumstances. The really useful manner is to offer completely different tiers of your analytics. You may have a father or mother workspace for a primary tier (free) after which a father or mother workspace for an expert tier (paid). The skilled tier can then supply extra complicated insights and dashboards which lets you create further income streams.

Do you’ve gotten any extra assets concerning embedding and GoodData.UI that you could possibly share?

Sure, you may go to our web site or learn the Gooddata.UI documentation. We even have a library of interactive examples of visualizations constructed by way of Gooddata.UI, which you’ll browse right here.

What SDKs do you supply?

Along with GoodData.UI, we provide JavaScript SDK and Python SDK. You may learn extra about our Python SDK right here.

Are workspaces the one resolution for filtering information for every consumer? What if we merely must have embedded charts with a consumer’s information with out giving them entry to edit the workspace?

You should utilize information permissions (row-level filters) to manage what information a consumer can entry of their GoodData workspace. Because of this customers can solely see related information information with their assigned information permissions. That is extremely helpful for a lot of of our shoppers as a single workspace can host a wide range of customers who want completely different information permissions utilized.

Subsequent Steps

Prepared to start constructing a real-time, multi-tenant analytics resolution? Register for GoodData Free and get began immediately.

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