Data Economy in Action: How to Implement Modern, Cost-Effective Data Architectures
summary
Shows how to build cost-effective modern data architectures using BigQuery, Fivetran and dbt, demonstrating practical implementation patterns that simplify operations, cut costs and speed up insight delivery for decision-making. Presents hands-on strategies to optimize data pipelines and architecture for better performance and lower expense, aimed at practitioners seeking actionable guidance.
AI-written summary · about
chapters (6)
- 0:00Introduction
- 0:30Data Economy in Action: How to Implement Modern, Cost-Effective Data Architectures
- 2:17Why Efficient Data Management Matters
- 7:38What Are Bit Query, Fest, and DVT
- 11:23Multiple Data Architectures
- 15:19How Multiple Data Architectures Work
related talks
41mModern Data Architectures – What They Are and How to Implement?
01h 28mA Guide to the Modern Data Stack
31mData Unleashed: A Developer's Perspective on Navigating the Architecture Maze
23mData Team as an Optimisation Problem
39mBuilding a Modern Data Warehouse Without Breaking the Bank
56mData Unleashed: A Developer's Perspective on Navigating the Architecture Maze
53mHow to build a modern data architecture
25mPlatform Engineering for Modern Data Infrastructure