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user story.
ABOUT CUBE DEV COMPANY About Cube Dev. At Cube Dev, we're on a mission to provide developers with analytical data access layer to build modern applications. Cube.js is used by thousands of companies around the world to power customer‑facing analytics and internal business intelligence tools.MAIN | CUBE.JS DOCS
Read about major concepts, dive into technical details or follow practical examples to learn how Cube.js works. Getting Started. It is a good place to start, if you are new to Cube.js. Data Schema. Learn how to build Cube.js Data Schema. Cube.js Backend.DASHBOARD APP
Dashboard App. You can generate a Dashboard App in the Developer Playground.The Dashboard App wires multiple frontend components together into single app. It setups all the structure and configuration to work with Cube.js Backend, while giving you full control to customize it however you want. OPEN SOURCE ETL: APACHE NIFI VS STREAMSETS SDC was started by a California-based startup in 2014 as an open source ETL project available on GitHub. The first release was published in June 2015.Both products are written in Java and distributed under the Apache 2.0 license.Here are some stats from GitHub for early 2018: Metric. Apache NiFi. StreamSets. MEASURES | CUBE.JS DOCS Measures. The measures parameter contains a set of measures and each measure is an aggregation over a certain column in your database table. Any measure should have a name, sql parameter, and type. When you give a name to a measure, there are certain rules to follow. Each measure should: You can use 0-9, _, and letters when naming a measure. BUILDING OPEN SOURCE GOOGLE ANALYTICS FROM SCRATCH If this is the case, let’s proceed with the Kinesis setup. AWS Kinesis setup. First of all, we need to create a Kinesis Data Stream calledevent-collection.First, sign in to your AWS account at console.aws.amazon.com and select Kinesis service from the menu. By default the Serverless Framework deploys resources to the us-east-1 region, so we’ll assume the AWS Lambda function was REACT DASHBOARD GUIDE Build Internal Dashboards. Learn how to build a full-stack React Dashboard from the database to the dynamic charts and drag-n-drop features. You’ll learn how to create an analytics API with Cube.js, how to generate a React dashboard boilerplate, and then customize it however you want. customer-facing apps. D3 DASHBOARD TUTORIAL Build an Interactive Dashboard App with D3. This guide shows how to build a dashboard application with React, D3.js, and Material UI. You’ll learn how to set up a database, seed it with data, build an API endpoint on top of it, and then visualize data on the frontend with D3.js. data schema.DIRECTION OF JOINS
Direction of Joins. As mentioned in Joins the direction of joins influences the result set greatly. For example, we have two cubes Orders and Customers: The first case is to calculate total orders revenue. Let's give totalRevenue name for this metric. It is known that order could be placed without customer registration (so-called'anonymous
CUBE.JS — OPEN SOURCE ANALYTICAL API PLATFORMGET STARTEDDOCSSLACKBLOGCUBE CLOUDCUBES Open Source. Analytical API Platform. Cube.js is great for building internal business intelligence tools or adding customer‑facing analytics to existing applications Get started data sources cube.js SQL Generation Security Caching API Pre-aggregations Orchestration Backend infrastructure. for analytical data access visualization Readuser story.
ABOUT CUBE DEV COMPANY About Cube Dev. At Cube Dev, we're on a mission to provide developers with analytical data access layer to build modern applications. Cube.js is used by thousands of companies around the world to power customer‑facing analytics and internal business intelligence tools.MAIN | CUBE.JS DOCS
Read about major concepts, dive into technical details or follow practical examples to learn how Cube.js works. Getting Started. It is a good place to start, if you are new to Cube.js. Data Schema. Learn how to build Cube.js Data Schema. Cube.js Backend.DASHBOARD APP
Dashboard App. You can generate a Dashboard App in the Developer Playground.The Dashboard App wires multiple frontend components together into single app. It setups all the structure and configuration to work with Cube.js Backend, while giving you full control to customize it however you want. OPEN SOURCE ETL: APACHE NIFI VS STREAMSETS SDC was started by a California-based startup in 2014 as an open source ETL project available on GitHub. The first release was published in June 2015.Both products are written in Java and distributed under the Apache 2.0 license.Here are some stats from GitHub for early 2018: Metric. Apache NiFi. StreamSets. MEASURES | CUBE.JS DOCS Measures. The measures parameter contains a set of measures and each measure is an aggregation over a certain column in your database table. Any measure should have a name, sql parameter, and type. When you give a name to a measure, there are certain rules to follow. Each measure should: You can use 0-9, _, and letters when naming a measure. BUILDING OPEN SOURCE GOOGLE ANALYTICS FROM SCRATCH If this is the case, let’s proceed with the Kinesis setup. AWS Kinesis setup. First of all, we need to create a Kinesis Data Stream calledevent-collection.First, sign in to your AWS account at console.aws.amazon.com and select Kinesis service from the menu. By default the Serverless Framework deploys resources to the us-east-1 region, so we’ll assume the AWS Lambda function was REACT DASHBOARD GUIDE Build Internal Dashboards. Learn how to build a full-stack React Dashboard from the database to the dynamic charts and drag-n-drop features. You’ll learn how to create an analytics API with Cube.js, how to generate a React dashboard boilerplate, and then customize it however you want. customer-facing apps. D3 DASHBOARD TUTORIAL Build an Interactive Dashboard App with D3. This guide shows how to build a dashboard application with React, D3.js, and Material UI. You’ll learn how to set up a database, seed it with data, build an API endpoint on top of it, and then visualize data on the frontend with D3.js. data schema.DIRECTION OF JOINS
Direction of Joins. As mentioned in Joins the direction of joins influences the result set greatly. For example, we have two cubes Orders and Customers: The first case is to calculate total orders revenue. Let's give totalRevenue name for this metric. It is known that order could be placed without customer registration (so-called'anonymous
MAIN | CUBE.JS DOCS
Read about major concepts, dive into technical details or follow practical examples to learn how Cube.js works. Getting Started. It is a good place to start, if you are new to Cube.js. Data Schema. Learn how to build Cube.js Data Schema. Cube.js Backend. GETTING STARTED WITH CUBE.JS USING NODE.JS The Cube.js client provides set of methods to access Cube.js API and to work with query result. The client itself doesn't provide any visualizations and is designed to work with existing chart libraries.INTRODUCTION
Introduction. Cube.js is an open-source analytical API platform, and it enables you to build internal business intelligence tools or add customer‑facing analytics to existing applications. Cube.js is visualization-agnostic, so you can build any user interface for yourapplication.
BUILDING OPEN SOURCE GOOGLE ANALYTICS FROM SCRATCH If this is the case, let’s proceed with the Kinesis setup. AWS Kinesis setup. First of all, we need to create a Kinesis Data Stream calledevent-collection.First, sign in to your AWS account at console.aws.amazon.com and select Kinesis service from the menu. By default the Serverless Framework deploys resources to the us-east-1 region, so we’ll assume the AWS Lambda function was MEASURES | CUBE.JS DOCS Measures. The measures parameter contains a set of measures and each measure is an aggregation over a certain column in your database table. Any measure should have a name, sql parameter, and type. When you give a name to a measure, there are certain rules to follow. Each measure should: You can use 0-9, _, and letters when naming a measure. OPTIMIZE CUBE.JS PERFORMANCE WITH PRE-AGGREGATIONS This is an advanced tutorial. If you are just getting started with Cube.js, I recommend checking this tutorial first and then coming back here.. One of the most powerful features of Cube.js is pre-aggregations. Coupled with data schema, it eliminates the need to organize, denormalize, and transform data before using it with Cube.js. The pre-aggregation engine builds a layer of aggregated dataMULTITENANCY
Multitenancy. Cube.js supports multitenancy out of the box, both on database and data schema levels. Multiple drivers are also supported, meaning that you can have one customer’s data in MongoDB and others in Postgres with one Cube.js instance. There are 7 configuration options you can leverage to make your multitenancy setup.PRE-AGGREGATIONS
Pre-aggregations are materialized query results persisted as tables. Cube.js has an ability to analyze queries against a defined set of pre-aggregation rules in order to choose the optimal one that will be used to create pre-aggregation table. AMCHARTS 4 ANGULAR EXAMPLE Follow these steps to build youramCharts 4 Angular Example. Step 1. Launch an analytical API. It will provide data for your application Step 2. Bootstrap a front-end application. It will help to explore data Step 3. Explore data and build an app. Follow our complete and detailed guides STEP 1.DASHBOARDAPP
How to build Angular Material Dashboard with Cube.js Introducing Cube Store: High concurrency and low latency for any database → Docs Slack Resources ExamplesSee what's possible with Cube.js BlogLearn more about Cube.js CommunitySee how to contribute to Cube.js GitHubFile an issue or contribute the code Cube Cloud Get Started Get StartedDocs Slack ExamplesBlog Community
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ANALYTICAL API PLATFORM Cube.js is great for building internal business intelligence tools or adding customer‑facing analytics to existing applicationsGet starteddata sourcescube.jsSQL GenerationSecurityCachingAPIPre-aggregationsOrchestrationBackendinfrastructure
for analytical data accessvisualizationRead user storyUser story Read user storyUser story Read user storyUser story Read user storyUser storyHOW CUBE.JS WORKS
Cube.js has a complete set of building blocks for analytical appsVisualizationChart.jsD3.jsHighchartsChart.jsChart.jsD3.jsHighcharts front-end codeReactAngularVueVanilla JSReactReactAngularVueVanilla JSimport React from 'react'; import { useCubeQuery } from '@cubejs-client/react'; import { Line } from 'react-chartjs-2'; const query = { measures: , dimensions: , timeDimensions: , }; function ChartJsApp({ colors, formatDate }) { const { resultSet } = useCubeQuery(query); return resultSet &&of customers
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3,354 members on Slack WHAT THEY’RE SAYINGHANSJOERG POSCH
Jul 11, 2020I just started working with Cube JS and it has been a pleasant experience so far! Kudos to all devs and especially thank you for the well written docs.TRAVIS FISCHER
Mar 3, 2020I found Cube.js last night and have already integrated it into my user dashboards. Setup with MongoBI was a breeze and the query builder made getting started refreshingly simple.👍 5🚀 1PAVEL TIUNOV
Jun 12, 2020Cube.js serves trillion data point sets in production. But it's for Athena though. Biggest RDBMS we've seen in production it's several billions data point set for MySQL.WILLEM DEMMERS
Aug 4, 2020Cube seems like one of the most well-designed and thought out software that I’ve seen whilst researching data pipelining. It feels very modern in a good way.👍 1JC
Aug 3, 2020It's effectively a "headless" technology in that sense, and it has a lot of flexibility for varying use cases. For example, you can even use it against a real-time database (pre data lake). It almost doesn't matter what you're querying, it's the two-tier caching strategy on top of a well-defined measure/dimension vocabulary that you get so easily that makes it attractive. GET STARTED WITH CUBE.JS Start with Node.js:npx cubejs-cli create hello-worldCopyStart withDocker:
docker run -p 4000:4000 \ -v ${PWD}:/cube/conf \ -e CUBEJS_DEV_MODE=true \cubejs/cube
Copyand follow our Getting Startedguide.
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