QuickSight lessons
AWS-native BI: SPICE, datasets, analyses and embedded dashboards. 13 lessons across 4 tracks, each ending with a short self-check.
13lessons
96mtotal
4tracks
26checks
Getting started
What QuickSight is and how its pieces fit together.
Data sources & datasets
Connecting, preparing datasets, SPICE and refresh.
SPICE and direct queryThe in-memory engine, refresh strategy, and when to query the source live.Preparing datasetsJoins, filters, field types and custom SQL in the dataset layer.Connecting to data sourcesAWS services, databases, files, and what each connection implies.Preparing datasetsJoins, filters, field types and the difference between dataset and analysis.SPICE capacity and refreshManaging the in-memory engine, refresh schedules and incremental refresh.
Analyses & visuals
Visual types, calculations, parameters and interactivity.
Calculated fields and LAAAggregations, table calculations, and level-aware aggregation functions.Building analysesVisual types, AutoGraph, filters and actions.Choosing visual typesAutoGraph, the core visuals, and which question each answers.Parameters, controls and actionsMaking a dashboard interactive.
Sharing & administration
Publishing, permissions, row-level security and embedding.
Row-level security and permissionsRestricting rows per user with a rules dataset, and how permissions layer up.Embedded analyticsPutting dashboards inside your own application, for registered and anonymous users.Publishing and sharing dashboardsAnalyses versus dashboards, permissions, and scheduled delivery.