Data Reporting and Analytics with API's
summary
Ninety percent of companies still misuse data, so the concrete fix is a three-step stack: move from ETL to ELT to automate extraction and land raw events in a cloud warehouse, build a business layer modeled from the actual questions each team asks (sales, marketing, product) so metrics change in one place, and deploy BI for answer 80% of questions self-service. Transactional and reporting systems must separate OLTP and OLAP; use Kafka/stream processing only for the rare sub-minute real‑time cases.
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chapters (15)
- 0:00Intro
- 0:48Welcome
- 1:36The most precious resource
- 2:44Storytime
- 4:50Use data to learn
- 6:18Why are companies unable to use data correctly
- 7:07The pyramid of data
- 8:07Two types of data systems
- 10:17How to move data
- 12:03How to answer questions from data
- 14:49Selfservice BI
- 17:29Summary
- 19:59Why Data
- 21:27Why Data Teams
- 22:19About 5xData
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