The modern data stack: How companies differentiate on data
How is the modern data stack evolving and what will it look like in the future? Experts from Andreessen Horowitz, Accenture and Fivetran weigh in.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Only pay for what you use with usage-based pricing
Why and how Fivetran’s usage-based pricing model ties cost to value for our customers.
How fast is DuckDB really?
DuckDB is competitive with the best commercial systems for small and medium data sizes, but is not (yet) good at scaling up to many CPU cores.
Fivetran & dbt: The essential duo for modern analytics
Learn how leading companies such as Snowflake, SpotOn and Red Ventures have seen massive analytics efficiencies and boosted ROI using modern data tools, including Fivetran and dbt.
Master the MDS balancing act: Data governance vs. Self-serve
A guide to finding the happy balance between enough governance to tame data chaos and enough self-service to empower stakeholders.
How data governance creates an effective data supply chain
Effective data governance builds a culture of trust and collaboration around data.
Why context is key to building reliable data pipelines
The data catalog is a critical step in the movement toward becoming a data-driven business. Here are 4 table-stakes questions to ask yourself to deliver reliable, trusted data.
Active metadata: Open the black box of your data pipelines
Data integration pipelines supply valuable data from producers to consumers, but even the best pipelines can break. Now what?
How the Fivetran approach to data normalization cuts compute costs
Where your ELT provider normalizes your data can dramatically increase or decrease your compute costs.
Why MAR is a better measure of value than total synced rows
Monthly active rows enable data professionals and businesses of all sizes to maximize the value of Fivetran.