E-commerce
Ingest 412 million e-commerce events into Firebolt and explore customer lifetime value, funnel analysis, segmentation, and performance tuning with sample SQL.
These example datasets are a great way to try out Firebolt. Learn some techniques and tips, and discover how to take advantage of Firebolt.
Ingest 412 million e-commerce events into Firebolt and explore customer lifetime value, funnel analysis, segmentation, and performance tuning with sample SQL.
Load 21 million NYC parking violation records into Firebolt and analyze enforcement patterns with sample SQL — by violation code, agency, vehicle make, and date.
Load 27 million NYC traffic-count records into Firebolt and analyze volume by segment, borough, direction, and peak hour with sample SQL queries.
Load NYC restaurant inspection records into Firebolt and analyze health-department data by borough, cuisine, score, and critical-flag status with sample SQL.
Work with nested JSON in Firebolt using the NYC Philharmonic performance history — extract, unnest, and flatten 175 years of concerts, composers, and soloists with SQL.
Explore a gaming analytics dataset in Firebolt — games, players, tournaments, and play stats — with sample SQL using arrays, window functions, and date math.