Super insightful💡post by Brian Olsen from the @trinodb project on Querying Federated Data Using #Trino and #ApacheSuperset📊

#OpenSource #BusinessIntelligence #DataVisualization #Superset #PrestoSQL

https://preset.io/blog/2021-6-22-trino-superset/

#Apache #Superset on #Heroku

https://chizurumolorondu.medium.com/setting-up-apache-superset-on-heroku-b547302f600e

Join us for #AirflowSummit2021, where Maxime Beauchemin the original creator of #ApacheSuperset and #ApacheAirflow, and Srini Kadamati, a committer for #Superset, will talk about #Data and advanced Superset features.

See the full schedule at hubs.li/H0Rjnlk0 and register now!

Apache Superset v1.2 is out! 🚀

- Official @TheASF source release: downloads.apache.org/superset/1.2.0/
- @github https://github.com/apache/superset/tree/master/RELEASING/release-notes-1-2
- @pypi https://pypi.org/project/apache-superset/

📖 Read the v1.2 Release Notes 👇

https://github.com/apache/superset/tree/master/RELEASING/release-notes-1-2

Interactive Dashboards in Apache Superset via Jinja Templates

https://agordienko.medium.com/interactive-dashboards-in-apache-superset-ec4a3bf9bc82

Apache Superset is the most popular (by Github🌟) open-source BI / viz platform out there.

We hope you join the community; you're in good company!

Slack: https://superset.apache.org/community
Github: https://github.com/apache/superset
Some of our users: https://github.com/apache/superset/blob/master/RESOURCES/INTHEWILD.md

Apache Superset v1.3 is out! 🚀

- Official @TheASF source release: downloads.apache.org/superset/1.3.0/
- @github https://github.com/apache/superset/tree/1.3.0
- @pypi https://pypi.org/project/apache-superset/

Deploy Apache Superset with @MySQL Database Service on OCI – https://blogs.oracle.com/mysql/deploy-apache-superset-with-mysql-database-service-on-oci #MySQL #MDS #OCI

#ApacheSuperset now supports real-time indexing database RocksetCloud 👏! Check out this new post by @SriniKadamati learn more ➡️ hubs.li/H0W-1ld0

#Superset #OpenSource #DataVisualization #BusinessIntelligence #moderndatastack #DataEngineering #dashboards #charts

Join us tomorrow for our next Apache Superset Meetup! We will focus on what's new in Superset 1.3 and what's coming down the pipe.

https://www.meetup.com/Global-Apache-Superset-Community-Meetup/events/280917393/

If you can't make it, join the Meetup group and we will send out the recording!

More Apache Project anniversaries this month: BookKeeper and Drill (7 yrs); Brooklyn, Groovy, Kylin, and REEF (6 yrs); Geode (5 yrs); Guacamole and Impala (4 yrs); Griffin (3 yrs); Petri (2 yrs); Superset and TVM (1 yr) --many happy returns #OpenSource

https://projects.apache.org/committees.html?date

Apache Superset v1.4 is out! 🚀

- Official @TheASF source release: downloads.apache.org/superset/1.4.0/
- @github https://github.com/apache/superset/tree/1.4.0
- @pypi https://pypi.org/project/apache-superset/
- changelog https://github.com/apache/superset/blob/1.4.0/CHANGELOG.md

Customized version of Apache Superset with ‘Export to .XLSX’ support was updated.

It works with versions 1.1.0, 1.3.2, and 1.4.0 now.

https://github.com/data-diving/superset-xlsx

Apache Superset 1.4.1

The official source release:
https://www.apache.org/dist/superset/1.4.1
The Pypi package:
https://pypi.org/project/apache-superset/

Superset 2.0 is a huge release and big step forward for the open source project in terms of user experience and stability. Superset 2.0:
• eliminates lots of tech debt by deprecating lots of old feature flags and code paths
• unifies the user experience in many areas of the product
• adds new features like the horizontal bar chart and revamped viz picker in Explore
• continues to improve the database experience for popular databases like Databricks, Trino, Pinot, etc.
• and much more
Join us for this virtual Superset 2.0 Meetup, hosted by the Preset.io team!

https://www.meetup.com/global-apache-superset-community-meetup/events/287351416