There are multiple ways how analytics and BI are being consumed. End users are using analytical dashboards, creating their own ad-hoc reports, using the reports as a data source for their machine learning models, or scheduling reports via email and opening them in a PDF viewer or a spreadsheet.

BI consumption options

Implementing all these options in your application or a portal is quite a complex task. Many companies approach this by using multiple tools and platforms that sit on top of a shared database. Ensuring analytics consistency across these tools is hard because of multiple different data models and query languages. …


The data managed by DataOps teams are often consumed as analytics insights, dashboards, or machine learning models. We at GoodData believe that exposing a SQL database and let your consumers analyze the data in their Excels, Tableaus, or QlikViews is way to hell. You can read more about the unpleasant consequences of this approach in the article that describes the concept of Headless BI.

In this article, I wanted to describe how the Headless BI stack supports a DataOps team that continuously delivers an analytical solution. There are two key stack capabilities that make this easier:

  • Human-readable declarative definitions are…

This article shows how to embed self-service analytics on top of your Redshift data with the GoodData.CN cloud-native analytics and the GoodData.UI data visualization toolkit.

The GoodData.CN includes tools and frameworks:

  • Powerful data analytics with semantic model and measures layer
  • API first approach. Convenient APIs for a seamless fit to your frontend and backend.
  • Flexible embedding with first-class support for React, Vue, Angular, and other popular Javascript frameworks.
  • Easy to use, visual, self-service analytics tools (dashboards, data visualizations) embeddable to SaaS applications.
  • Automated distribution of the analytics to many tenants (external and internal organizations) and integration with your CI/CD pipeline.

This article shows how to embed self-service analytics on top of your Snowflake data with the GoodData.CN cloud-native analytics and the GoodData.UI data visualization toolkit.

The GoodData.CN includes tools and frameworks:

  • Powerful data analytics with semantic model and measures layer
  • API first approach. Convenient APIs for a seamless fit to your frontend and backend.
  • Flexible embedding with first-class support for React, Vue, Angular, and other popular Javascript frameworks.
  • Easy to use, visual, self-service analytics tools (dashboards, data visualizations) embeddable to SaaS applications.
  • Automated distribution of the analytics to many tenants (external and internal organizations) and integration with your CI/CD pipeline.

This article shows how to embed self-service analytics on top of your Postgres data with the GoodData.CN cloud-native analytics and the GoodData.UI data visualization toolkit.

The GoodData.CN includes tools and frameworks:

  • Powerful data analytics with semantic model and measures layer
  • API first approach. Convenient APIs for a seamless fit to your frontend and backend.
  • Flexible embedding with first-class support for React, Vue, Angular, and other popular Javascript frameworks.
  • Easy to use, visual, self-service analytics tools (dashboards, data visualizations) embeddable to SaaS applications.
  • Automated distribution of the analytics to many tenants (external and internal organizations) and integration with your CI/CD pipeline.

We’ve just launched GoodData.CN, the modern headless BI framework. In this article, I briefly describe the new product’s capabilities.

TLDR: Skip the BS. I want to try it myself.

docker pull gooddata/gooddata-cn-ce

Documentation and API reference is here. If you get in stuck, join our Slack community for help. Development is free of charge. Production deployment for an unlimited number of users is also free. You’ll pay for advanced features.

Cloud-Native

The GoodData.CN is deployed as a single Docker image via a pull from Docker Hub or as a set of Kubernetes images available via Helm chart. For initial evaluation, development, and testing, we recommend the Docker image. …


I work for GoodData and have been focused on multi-tenant analytics for more than a decade. By multi-tenant analytics, I mean a use-case when analytics is shared with external companies: customers, channel partners, suppliers, or other business partners.

Our analytics widgets and self-service analytics tools are usually embedded in applications or web portals. However, there are always tenants who have already adopted a specific BI tool or platform and want to integrate it with our analytics. Initially, we were serving these customers by exporting data from our platform to import them into their BI. Besides the obvious latency that this…


What is the semantic model? Why should you use it in your product or solution when you already have SQL? Continue reading.

A picture is better than a thousand words. Here is a simple semantic model visualized in GoodData:

Semantic model example (GoodData Logical Data Model)

Technically speaking, the semantic model brings the following technical concepts to SQL model (and query language):

  • Shared definition of relationships. The semantic model defines shared relationships between datasets. These relationships are implicitly used in queries. In short, your users won’t need to write joins and remember the names of the primary and foreign key columns. …

Containers open a whole new set of options for data analytics. Deploying and configuring a complete analytical stack can take less time than executing a query in your database.

GoodData has launched the modular analytical stack GoodData.CN that can be deployed as a single Docker image or as an elastic k8s application. The deployment and configuration of this stack can be easily automated. Let me share a quick example of how this stack works.

1. Pull Docker image

docker pull gooddata/gooddata-cn-ce

I tried this from my local Mac, Google cloud VM, and AWS EC3. …

ZD

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