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Live Training: Analyzing Ticket Sales Data with Amazon Redshift


In this live training, we’ll be analyzing ticket sales data through Amazon Redshift, a data warehouse product that is part of Amazon Web Services.

Even though Redshift’s underlying technology is vastly different from classical relational databases, we can also run queries using SQL. Using DataCamp Workspace, we will connect to a redshift cluster and start with some initial exploration of the data.

Next, we move on to answering increasingly complex analytics questions using common techniques like joining, grouping, and aggregating the data.

To top it all off, we will create an insightful visualization that shows the highest-grossing events in the dataset. Filip will provide a template workspace for you so you can easily follow along as he’s coding up the model.

Key takeaways:

  • Connect to a Redshift cluster, and browse tables with DataCamp Workspace

  • Run queries against a Redshift cluster with DataCamp Workspace

  • Perform joins of multiple tables, and grouped aggregate functions to answer increasingly complex questions

Materials:

  • Slides

  • Access to the code-along notebook

  • Access to the solution notebook

Filip Schouwenaars Headshot
Filip Schouwenaars

VP of Engineering—Workspace at DataCamp

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