

#456: Data Architectures with AWS Hero Elliott Cordo
10 snips Jun 27, 2021
Topics covered include data architectures with Amazon Redshift, trends in data, integrating ML in data environments, and the value of being part of a technical community. The conversation also explores selecting the right tools for specific business requirements, aligning technological solutions with business needs, the enduring value of SQL, enhancing data sharing with Redshift, and embracing community and building expertise in data architectures.
AI Snips
Chapters
Transcript
Episode notes
Understanding Data Architectures
- Data architectures vary between data lakes and data warehouses depending on company size and data complexity.
- Many use hybrid "lake house" models combining data lake storage with data warehouse querying.
Data Solutions Start with Questions
- Ask what questions the business wants answered before designing data solutions.
- Let business needs guide the choice between data lake, warehouse, or hybrid solutions.
Building Flexibility at Capsule
- During COVID-19 at Equinox Media, unpredictability challenged data infrastructure.
- At Capsule, the focus is on flexible data platforms that can adapt to fast-changing business needs, not just scale.