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Resources for Analytics Teams
Database replication for database analytics involves many serious difficulties.
Use database connectors to uncover insights about your operations.
Looking for more technical details about connecting your databases? Check out our docs.
Our customers share why they chose Fivetran to replicate their database data and how their analytics have improved as a result.
Join Fivetran for an exclusive look into Fivetran History Mode, our feature for tracking type 2 slowly changing dimensions. Whether you’re already familiar with Fivetran History Mode for Salesforce, o
Use schemas to make life easier for your analysts and engineers.
Want to see our database connectors in action? Request a demo.
Pre-owned vehicle ecommerce business replicates MySQL data, saves six engineers over four months of manual work & improves data reliability for analytics teams.
Growing heavy civil construction business brings on a modern data stack of Fivetran, BigQuery and Looker to gain a competitive edge.
Fivetran integrates MariaDB data into BigQuery, enabling Australia’s largest ecommerce pet store to understand and improve its customer journey.
Learn about the history of databases, important terminology, and different types of databases you might encounter.
Learn about the differences between databases designed to perform day-to-day operations and those designed for analyzing data.
Take a closer look at the differences in architecture between row- and column-based databases
Take a deep dive into transactional databases.
Learn about the relationship between isolation and concurrency.
What is the difference between distributed and single-node databases?
Distributed databases are powerful, but they come with lots of complications.
What is “consensus,” and what does it have to do with distributed databases?