Data Council

APRIL 9, 2021

Apache Superset is a very popular open-source project that provides users with an exploration and visualization platform for their (big or not-so-big) data. For instance, it can be used to create line charts, but also advanced geospatial charts and dashboards that support queries via SQL Lab.

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Big Data SQL Project Data 52

Preset

SEPTEMBER 8, 2021

Apache Superset™ now supports Rockset as a data source. Rockset is a real-time indexing database built for the cloud that uses RocksDB for fast storage.

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Database Cloud Data 52

Preset

AUGUST 23, 2021

Why Apache Superset™, an open source data visualization and BI platform, is the most compelling Looker alternative, a closed-source BI platform by Google.

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Preset

JANUARY 25, 2022

The Apache Superset project and community has experienced record growth in 2021. Another year, another visual recap!

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Preset

NOVEMBER 22, 2021

This tutorial post will cover all of the steps needed to make your first code contribution to the Apache Superset project.

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Preset

JULY 13, 2021

We're excited to announce the release of Apache Superset 1.2! In this release post, we will focus on the biggest and most interesting tangible, end-user features.

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Preset

FEBRUARY 24, 2021

We discuss why the Apache Superset™ community is adopting this approach. Apache Superset™ 1.1 Semantic versioning is a common strategy for handling releases.

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Preset

MARCH 31, 2021

Apache ECharts is a top open-source data visualization framework. In this post, we'll explore why the Apache Superset™ community is betting on ECharts.

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Data Engineering Podcast

JULY 9, 2023

In this episode Maxime Beauchemin of Airflow and Superset fame shares his vision for the entity-centric data model and how you can incorporate it into your own warehouse design. The major strategies in use today were created decades ago when the software and hardware for warehouse databases were far more constrained.

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Database-centric Machine Learning SQL Data Engineering 130

Preset

JUNE 5, 2021

Trino unlocks new entire workflows for Apache Superset, like querying NoSQL databases (MongoDB, Cassandra, and more) and joining data from multiple but separate databases.

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MongoDB NoSQL Database Data 40

Preset

MARCH 15, 2021

In this tutorial, we'll showcase how to ingest data on Wikipedia edits into Apache Druid. Then, we'll use a time-series chart to visualize the data in Superset.

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Preset

JANUARY 17, 2021

The Apache Superset project experienced a critical growth period in 2020 in all aspects. In this post, I'll document how the key facets of the project changed last year.

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Preset

APRIL 25, 2021

At the core of the Apache Superset™ project is real-time analytics. In this post, we showcase the key features that support real-time analytics.

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Preset

MAY 10, 2020

Setting up Apache Superset for the first time can be difficult. Here's an easy way to accomplish the task!

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Simon Späti

MARCH 9, 2021

This post focuses on practical data pipelines with examples from web-scraping real-estates, uploading them to S3 with MinIO, Spark and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualising dashboards with Superset and managing everything with Dagster.

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Data Engineering Data Engineer Engineering Project 189

Data Engineering Podcast

APRIL 26, 2021

Superset is an open source option that has been gaining popularity due to its flexibility and extensible feature set. In this episode Maxime Beauchemin discusses how data engineers can use Superset to provide self service access to data and deliver analytics. Can you start by describing what Superset is? in a Superset dashboard?

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Business Intelligence Data Warehouse Hadoop Data Pipeline 100

Preset

JULY 27, 2020

The powerful combination of Google Sheets and Apache Superset

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Building 52

Christophe Blefari

APRIL 5, 2024

On my side I'll talk about Apache Superset and what you can do to build a complete application with it. MDS Fest is a free virtual 5 days conference about Modern Data Stack topics, a lot of awesome speakers, there are a few talks I can't wait to watch.

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SQL Data Python Datasets 130

Simon Späti

MARCH 9, 2021

This post focuses on practical data pipelines with examples from web-scraping real-estates, uploading them to S3 with MinIO, Spark and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualising dashboards with Superset and managing everything with Dagster.

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Data Engineering Data Engineer Engineering Project 130

Christophe Blefari

MARCH 22, 2024

On my side I'll talk about Apache Superset and what you can do to build a complete application with it. Finally, xAI released Grok-1 in open — The weights are available in torrent / HF and everything is under Apache License. Now give me the news. Sometimes it looks like you speak to a child.

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Electronics Media Data Python 130

Preset

APRIL 12, 2023

All about Feature Flags and Superset - their life cycles, use cases, risks and benefits.

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Preset

MAY 30, 2023

Pie chart alternatives, their pros and cons, when to use the alternatives to pie chart and examples of pie chart alternatives examples in Apache Superset

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Preset

MARCH 13, 2023

A look into customizing chart color palettes, for open-source Apache Superset users and Preset users alike. Covering palette creation, custom overrides, and more.

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Preset

MAY 21, 2023

A realistic look at the ways LLMs (ChatGPT, Bard, etc) can (or can't) enhance daily life for Apache Superset users and developers

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Preset

JULY 5, 2023

Learn how Preset addresses the challenges of managing commercial open-source releases.

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Building Management 52

Preset

JANUARY 16, 2022

While Apache Superset ships with 60 beautiful visualizations out of the box, they don't cover all of the use cases someone may have. In this post, we showcase how to create your own custom visualizations in Superset (updated for monorepo changes).

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Preset

NOVEMBER 23, 2021

In this tutorial, we'll learn how to build a metrics dashboard with Apache Superset, a modern and open-source data exploration and visualization platform. We'll also use Cube, an open-source metrics store, as the data source for Superset.

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Christophe Blefari

FEBRUARY 18, 2023

On the same topic this week Pierre shared how to create a semantic layer in Preset — i.e. managed Apache Superset—to do so, it first defines metrics within dbt and then thanks to the CI/CD it pushes to Preset the metrics definition. Still, what is a metrics store ? You can check out the post extracted from the newsletter.

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Software Engineer Software Engineering Data Validation Data 100

Preset

JANUARY 29, 2023

How the Apache Superset Community and maintainers organize their efforts, and how you can get involved.

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Preset

OCTOBER 19, 2021

The Apache Superset community is gradually moving all charts over to Apache ECharts, a fellow Apache Software Foundation project. In this post, we'll explore the current status of the migration for time-series charts in particular.

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Preset

MARCH 21, 2021

How to contribute to the Apache Superset™ Project. Help others, advocate for Superset and code development. Github + Superset

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Project Coding 52

Preset

JANUARY 17, 2021

The best Superset release to date is finally out

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Preset

DECEMBER 20, 2021

After a decade of acquisitions in the BI space, Apache Superset remained one of the few open-source BI tools left with a semantic layer.

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BI 52

Preset

AUGUST 17, 2021

Preset Cloud is a modern data exploration and visualization platform powered by Apache Superset. Preset Cloud is now generally available!

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Christophe Blefari

JANUARY 7, 2024

Projects — The few noticeable projects I've worked on I designed, developed and deployed a reporting application with Apache Superset. In term of clients I had in number less clients than in 2022 because my main client kept me busy.

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Data SQL Python Data Engineering 130

Preset

JUNE 13, 2021

Trino unlocks new workflows for Apache Superset™, like querying NoSQL databases and joining data from multiple, but separate databases. Superset Presto

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NoSQL Database Data 40

Monte Carlo

SEPTEMBER 22, 2021

Zhamak Dehghani, the founder of the data mesh , Reynold Xin, the co-founder of Databricks , Maxime Beauchemin, the creator of Apache Airflow and Apache Superset , Neha Narkhede, the creator of Apache Kafka and co-founder of Confluent , and Amit Agarwal, the Chief Product Officer at Datadog.

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