Dataframes, Collections and Streams in Java
summary
Compares three concrete Java pipelines: reading CSV with Jackson, modeling rows as records and sets, and doing the same with Java streams, Eclipse Collections and DataFrame-EC; builds a ConferenceExplorer, runs tests that compute days-to-event, group/count/sum by country and month, generate emoji flags and JSON output, and reports what needed extra serializers or modules. Shows that all three work, DataFrame-EC is higher-level but less mature, Eclipse Collections adds primitive and null-safe types.
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chapters (15)
- 0:00Introduction to speakers
- 1:52Talk overview and goals
- 6:04Lego analogy for libraries
- 10:59Loading CSV data
- 17:23Calculating days to event
- 19:27Grouping data by country
- 23:20Counting conferences by country
- 26:09Summing conference days by country
- 28:38Generating country flag emojis
- 33:58Exporting data to JSON
- 38:37Pros and cons of Java Streams
- 41:03Pros and cons of Eclipse Collections
- 42:46Pros and cons of DataFrame EC
- 46:22Summary and learning outcomes
- 49:09Q&A session
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