Know your rights: You can control, extract, and move your data
The EU Data Act gives businesses and individuals operating in the EU more control over their data, including data access and portability for customers.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
How 3 companies power enterprise AI/ML with Fivetran & Databricks
Condé Nast, National Australia Bank, and Red Ventures are global enterprises that modernized their data infrastructure with Fivetran and Databricks, strengthening the foundation of their businesses.
Turning data chaos into a competitive advantage
Retailers must use flexible, scalable architectures to integrate diverse, fragmented data sources and create better customer experiences.
Untangling data chaos: Strategies for retail success
In this episode, Veronika Durgin, VP of Data at Saks, joins Fivetran’s Kelly Kohlleffel to discuss how businesses can navigate data source chaos, balance build vs. buy decisions, and create adaptable architectures that drive long-term value.
Fivetran Connector SDK: Unlocking every data source
Start replicating from any and every source system with the Connector SDK.
Reverse ETL: Make your data warehouse actionable
Reverse ETL delivers personalized experiences, smarter campaigns, and better decisions with operationalized data.
Fivetran Hybrid Deployment for SAP gives you full control over how data moves
Unlocking SAP data to power analytics, AI, and better business decisions is only part of the equation: Securing that data is just as critical.
From silos to AI success: 4 global enterprises on Fivetran + Snowflake
Global enterprises HubSpot, Saks, DocuSign, and Oldcastle Infrastructure modernized their data infrastructure on Fivetran and Snowflake, achieving AI-driven innovation, scalability, and millions in ROI.
The AI execution gap: Why nearly half of enterprises struggle to deliver AI success
Why do one in three data professionals cite integration challenges as the biggest roadblock to AI success? Our latest research uncovers the missing link to AI-ready data.
Migrating to a data lake: A practical blueprint
You will need the following architectural decisions and migration process to make a data lake the center of your architecture.