Resources for Analytics Teams
Fortune 500 service provider uses Fivetran to pull in data from dozens of SaaS platforms and databases to power business intelligence decisions.
Follow these tips to ensure that your database schema delivers maximum utility for data warehouse users, data analysts, and data scientists.
A good database schema is indispensable for making data warehouses work. Get it wrong, and you’ll be in a world of hurt.
Use schemas to make life easier for your analysts and engineers.
Here’s how to choose the right relational database for your next project.
Learn how to design normalized schemas that make life easier for analysts and data engineers.
Data warehouses are a particular kind of database. Learn how they are uniquely suited to analytics.
Best-in-class database replication now combines the benefits of snapshots and log-based systems — while avoiding the drawbacks.
What is NoSQL, and what does it bring to the table?
Our new feature helps you implement Type 2 slowly changing dimensions for your historical database analytics with no coding needed.
Database replication for database analytics involves many serious difficulties.
Use database connectors to uncover insights about your operations.
Our customers share why they chose Fivetran to replicate their database data and how their analytics have improved as a result.
If you’re looking for reliable data integration, you may have heard of Debezium, a rising open-source software solution.