Visualization Tools for Data Discovery

on YouTube ↗57m

" summary

Demos show concrete steps and tools: browse Wikipedia-as-database with dbpedia heat map instead of SPARQL to spot relevant temporal‑geographic signals, attach Amazon public buckets with S3 Browser, preview public sets in Google’s pivot‑like viewer, call an Azure Marketplace ML endpoint (quantile calculator) and subscribe to premium data, pull Facebook and other sources into Excel with Power Query Facebook pull and a Quandl add‑in, and export quick heatmaps or D3 visuals to judge data quality before building pipelines.

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" chapters (11)

1. 0:00Start
2. 1:14Thank You Sponsors
3. 1:35Lynn Langit
4. 2:42Speaker Social Media
5. 4:29Small BigData Pipeline
6. 6:01Discovering/Acquiring / Visualizing Data
7. 14:33Finding Public Data by example - AWS
8. 26:56Finding Public Data by example - Quandl
9. 30:29Looking at the data (Visualization)
10. 45:46Data visualization
11. 49:45Understanding possibilities via projects

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