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Salem, OR

201 Liberty Street SE, Salem, United States, 97301

The venue is easily accessible by car via I‑5 and I‑99W, with nearby public parking garages and street parking available. For those arriving by air, Salem Municipal Airport is located approximately 5 miles away. Public transit options are also convenient, with several Cherriots bus routes stopping within walking distance of the venue, which is situated near central downtown amenities.

Explore Our Courses

Apache Superset for Administrators

 28 Hours
This instructor-led, live training in [location] (online or onsite) is aimed at beginner to intermediate-level system administrators who wish to set up and manage Apache Superset for government organizations. By the end of this training, participants will be able to: - Install and configure Apache Superset. - Understand the architecture and features of Superset. - Manage user access and security settings. - Monitor and optimize the performance of Superset instances. - Troubleshoot common issues and perform regular maintenance.
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Advanced Apache Superset

 14 Hours
This instructor-led, live training (conducted online or onsite) is aimed at data analysts, data scientists, and data engineers who wish to perform advanced data analytics and visualization using Apache Superset. By the end of this training, participants will be able to: - Install and configure Apache Superset for government use. - Implement advanced data analysis and visualization techniques with Apache Superset. - Customize and share dashboards and reports. - Manage security within Apache Superset.
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Apache Superset: Basics to Advanced

 35 Hours
Apache Superset is an open-source, enterprise-ready business intelligence platform designed for data exploration and visualization. This instructor-led, live training (available online or onsite) is targeted at data analysts, data scientists, and data engineers who aim to conduct advanced data analytics and visualization using Apache Superset for government applications.
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Getting Started with Apache Superset

 14 Hours

This instructor-led, live training (online or onsite) is aimed at data analysts and data scientists who wish to explore, organize, and visualize data using Apache Superset for government applications.

By the end of this training, participants will be able to:

  • Install and configure Apache Superset.
  • Integrate data from various databases.
  • Visualize extensive datasets.
  • Create and share sophisticated dashboards.

Format of the Course

  • Interactive lecture and discussion.
  • Extensive exercises and practice sessions.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • This training is based on the latest version of Apache Superset.
  • To request a customized training for this course, please contact us to arrange.
  • For more information about Apache Superset, visit: https://superset.incubator.apache.org
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Testimonials (2)

Gunnar was a great trainer. He pitched the training at the right level given the varying levels of experience and expertise of the attendees. He was very personable and injected as much as excitement and humour as he could across the 2 days. He made sure that we were engaged throughout and tried to ensure that all our questions were answered in an open and honest manner.

Seaman - PowerX Technology Ltd

Course - Getting Started with Apache Superset

The trainer was knowledgeable and interacted well with the participants.

Phetsile - Palladium Group

Course - Apache Superset for Administrators

Upcoming Courses

Apache Superset for Administrators

2026-05-06 09:30
28 hours
Salem, OR
$ 5405 (Online)
$ 7805 (Classroom)

Advanced Apache Superset

2026-05-20 09:30
14 hours
Salem, OR
$ 2703 (Online)
$ 3903 (Classroom)

Advanced Apache Superset

2026-06-03 09:30
14 hours
Salem, OR
$ 2703 (Online)
$ 3903 (Classroom)

Advanced Apache Superset

2026-06-17 09:30
14 hours
Salem, OR
$ 2703 (Online)
$ 3903 (Classroom)

Advanced Apache Superset

2026-07-01 09:30
14 hours
Salem, OR
$ 2703 (Online)
$ 3903 (Classroom)

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Apache Superset Consulting
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