~/talk

The Journey to Implementing a Data Lake

on YouTube 40m
TalkinPortugueseat GDG Campinas Data Fest 2017 · on Tuesday, 2017-09-26· [data-engineering, databases]

speaker

name:Matheus Espanhol
links:none on file

resources

video:https://youtu.be/lSW5UKq3hx4
slides:none on file

summary

Comparisons of Google BigQuery, Amazon EMR running Presto, and Amazon Athena are presented with practical, real-world examples highlighting each service’s strengths and weaknesses. The talk focuses on how these managed analytics technologies can enable cost-effective data analysis across environments of various sizes, sharing the presenter’s hands-on experience as a Big Data solutions architect.

AI-written summary · about

chapters (9)

  1. 0:00Data Lake introduction
  2. 4:52Data Lake vs Data Warehouse
  3. 7:26Modern pipeline architecture
  4. 11:51Telecom cost example
  5. 15:10Querying raw data
  6. 19:29Replacing Redshift with Presto
  7. 23:41Historical analysis issues
  8. 24:46BigQuery alternative
  9. 38:41Conclusion

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