Course Outline

Introduction

  • Redash vs Metabase vs Superset
  • Overview of Redash features and advantages

Getting Started

  • Installing Redash
  • Supported data sources
  • Connecting to different data sources
  • Configuring users and groups

Querying Data

  • Creating, editing, and publishing queries
  • Running queries from QRDS
  • Adding query parameters
  • Scheduling queries
  • Using favorites and tagging
  • Downloading query results
  • Using query filters and snippets

Creating Visualizations and Dashboards

  • Adding, editing, and embedding visualizations
  • Setting up chart visualizations
  • Other visualization types
  • Combining visualizations in a dashboard
  • Managing dashboard permissions
  • Sharing and embedding dashboards

Setting Up Alerts

  • Creating an alert
  • Adding an alert destination
  • Customizing notification messages
  • Configuring multiple column alerts

Working with Integrations and APIs

  • Accessing APIs with Python
  • Connecting Redash to Zapier
  • Importing query results into Google Spreadsheets
  • Configuring an SSH tunnel using API

Best Practices and Troubleshooting

Summary and Next Steps

Requirements

  • An understanding of data analytics and database concepts
  • Experience in SQL

Audience

  • Data scientists
  • Developers
  14 Hours
 

Need help picking the right course?
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Testimonials

The second day was very interesting. It was a good training to see some possibilities within Power BI; but mostly you learn then while you work with Power BI. Fact is also that the training base has all access rights and everything works, but as soon as you try to connect to the live system, it does not work and this makes the knowledge transfer a bit difficult.

Marco Iuliano

some of the best practices on charts

AIG SHARED SERVICES-BUSINESS PROCESSING, INC.

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