Open Source Powers The Modern Data Stack
summary
Argues that open source components let teams build a tailored modern data stack and gives concrete numbers and tools: Airbyte with 200+ connectors and 9,500 Slack members, Airflow orchestration, dbt transforms and Superset for visualization, with plans for reverse ETL in 2023. Demo shows a Salesforce → Snowflake pipeline, selectable staging, replication modes including incremental CDC and full refresh, visibility into sync logs, and a connector development kit with unit tests and sandboxing for custom connectors.
AI-written summary · about
chapters (6)
- 0:00Introduction
- 1:47ETL vs ELT explained
- 5:40Modern data stack overview
- 8:09Key open source components
- 16:17Live demo of Airbyte
- 25:09Q&A session
related talks
32mBig Data With Open Source Solutions
34mQuantifying the growth and evolution of open-source communities with Apache Superset
15mOpen Source in a Data-Driven World
44mOpen Source in the Age of Cloud and Microservices
44mPanel Discussion: How Open Source Helps DataOps
29mNavigating the Modern Data Stack with Open Source Headless BI
25mState of Open Source Databases
50mMasterclass: Building a data stack in 2021
