Further reading
For more information on the topics covered in this chapter, please see the following resources:
- From Data Warehouse to Data Lakehouse: The Evolution of Data Analytics Platforms by Henry Golas: https://cloudian.com/blog/from-data-warehouse-to-data-lakehouse-the-evolution-of-data-analytics-platforms/
- The Rise of ELT for DW Data Integration by Chris Tabb: https://www.leit-data.com/the-rise-of-elt-for-dw-data-integration/
- The Modern Data Stack: Past, Present, and Future by Tristan Handy: https://www.getdbt.com/blog/future-of-the-modern-data-stack/
- DBLog: A Generic Change-Data-Capture Framework: https://netflixtechblog.com/dblog-a-generic-change-data-capture-framework-69351fb9099b
- Capturing Data Evolution in a Service-Oriented Architecture by Jad Abi-Samra on the Airbnb Tech Blog: https://medium.com/airbnb-engineering/capturing-data-evolution-in-a-service-oriented-architecture-72f7c643ee6f
- Data Systems Tend Towards Production by Ian Macomber: https://ian-macomber.medium.com/data-systems-tend-towards-production-be5a86f65561
- How Netflix used big data and analytics to generate billions by Michael Dixon: https://seleritysas.com/blog/2019/04/05/how-netflix-used-big-data-and-analytics-to-generate-billions/
- How Uber uses data science to reinvent transportation? ProjectPro: https://www.projectpro.io/article/how-uber-uses-data-science-to-reinvent-transportation/290
- How DoorDash built the greatest go-to-market playbook ever by Lars Kamp: https://findingdistribution.substack.com/p/how-doordash-built-the-greatest-go
- Why Retailers Fail to Adopt Advanced Data Analytics by Nicole DeHoratius, Andrés Musalem, and Robert Rooderkerk: https://hbr.org/2023/02/why-retailers-fail-to-adopt-advanced-data-analytics
- Companies are losing revenue opportunities and customers because of bad data practices by Bob Violino: https://www.zdnet.com/article/companies-are-losing-revenue-opportunities-and-customers-because-of-bad-data-practices/