Documentation for Cube, the Semantic Layer for building data apps

Livestream recording from the May 2021 Cube.js Monthly Community Call.[00:00 - 08:34] Community update[08:35 - 32:30] Simon Data user story(https://cube.dev/...

An open-source list of awesome data visualization tools for software developers from the Cube.js team

Today, I want to talk about building applications on top of data warehouses. I want to discuss how to achieve low latency if your app is consuming data from BigQuery, Snowflake, Redshift, or any other cloud-based data warehouse.

Build a metrics dashboard with Apache Superset and Cube, an open-source metrics store. Step-by-step tutorial.

Previously, we’ve discussed the recent emergence of headless BI, and reviewed headless BI’s four essential components. Now, let’s take a…

In this article, I want to create a statistics dashboard with Appsmith. I'll use API endpoints generated from Cube that uses a public dataset from the Museum of Modern Art (MoMA).

Сube (до недавнего времени cube.js) относительно молодой проект (первый релиз март 2019) - реализация концепции OLAP-куб. Несмотря на отличную документацию , в интернете пока что мало информации на...

Build your own custom analytics with React, Golang and Cube.js

Безызвестный из @underjs, чиллинг мастер, человек мечтающий выучить erlang, нематематик, сварщик, исполняю JS в сознании, работаю топором и лопатой

Connect your favorite visualization tools to Cube.

Here’s how the embedded analytics data stack has changed.

Here’s a standardized definition of headless BI and its four essential ingredients in the modern data stack.

Docker Compose | Documentation for working with Cube, the open-source analytics framework

Appsmith is an open-source low-code platform that lets you create web applications like dashboards and admin panels by using drag-and-drop widgets. With Appsmith, you can connect multiple data sources like MySQL, MongoDB, REST API, Google Sheets, and perform…

Agenda:
[00:00:00 - 00:06:20] Introductions
[00:06:21 - 00:19:29] Recap from the previous workshop + recent improvements in pre-aggregations
[00:19:30 - 00:45:14] Structuring/optimizing/partitioning pre-aggregations + Understanding cardinality
[00:45:15…