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Welcome | Superset - The Apache Software Foundation
https://superset.apache.org/
WEBApache Superset™ is an open-source modern data exploration and visualization platform. Star. Watch. Fork. Get Started. Overview. Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts.
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Introduction | Superset - The Apache Software Foundation
https://superset.apache.org/docs/intro/
WEBApache Superset is a modern, enterprise-ready business intelligence web application. It is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple pie charts to highly detailed deck.gl geospatial charts.
DA: 75 PA: 50 MOZ Rank: 59
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GitHub - apache/superset: Apache Superset is a Data …
https://github.com/apache/superset
WEBSuperset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources. Superset provides: A no-code interface for building charts quickly.
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Apache Superset - Wikipedia
https://en.wikipedia.org/wiki/Apache_Superset
WEBApache Superset is an open-source software application for data exploration and data visualization able to handle data at petabyte scale ( big data ). The application started as a hack-a-thon project by Maxime Beauchemin (creator of Apache Airflow) while working at Airbnb and entered the Apache Incubator program in 2017. [1]
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Creating Your First Dashboard | Superset - The Apache Software …
https://superset.apache.org/docs/creating-charts-dashboards/creating-your-first-dashboard/
WEBSuperset has 2 main interfaces for exploring data: Explore: no-code viz builder. Select your dataset, select the chart, customize the appearance, and publish. SQL Lab: SQL IDE for cleaning, joining, and preparing data for Explore workflow. We'll focus on the Explore view for creating charts right now.
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Home · apache/superset Wiki · GitHub
https://github.com/apache/superset/wiki
WEBApache Superset is an open-source data exploration and visualization platform built for scale. Superset was originally developed at Airbnb, entered the Apache Incubator in 2017, and graduated to an Apache Software Foundation Top Level Project in November of 2020. Superset Resources. Superset documentation: https://superset.apache.org/docs/intro/
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Apache Superset: A hidden gem in the heaps of BI tools? – Part I
https://blog.hiflylabs.hu/en/2021/07/07/superset/
WEBJul 7, 2021 · Superset essentially stands on three main layers: Dashboarding: Seamless interaction with a wide range of tooltips. Drag and Drop crafting. Multiple ways of sharing your dashboard/charts (JSON, email, URL) Data Exploration (Slice & Dice): Code-free visualization builder to extract and present datasets. Intuitive interface.
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The Apache Software Foundation Announces Apache® Superset…
https://news.apache.org/foundation/entry/the-apache-software-foundation-announces70
WEBJan 21, 2021 · Apache Superset is a modern, Open Source data exploration and visualization platform that enables users to easily and quickly build and explore dashboards using its simple no-code visualization builder and state-of-the-art SQL editor. The project originated at Airbnb in 2015 and entered into the Apache Incubator program in May 2017.
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An Introduction to Apache Superset: An Open Source BI solution
https://www.influxdata.com/blog/introduction-apache-superset/
WEBDec 28, 2022 · What is Apache Superset? Apache Superset is an open-source data exploration and visualization platform. Originally started as a hack-a-thon project by Maxime Beauchemin while working at Airbnb, Superset entered the Apache Incubator program in …
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Apache Superset Tutorial · Start Data Engineering
https://www.startdataengineering.com/post/apache-superset-tutorial/
WEBFeb 13, 2021 · 6 min read. Apache Superset architecture. Setup. Prerequisites. Seed data. Using Apache Superset. 1. Connecting to a data warehouse. 2. Querying data in SQL Lab. 3. Creating a chart. 4. Creating a dashboard. Pros …
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