Why normalization is critical
The key to Extract-Load then Transform (ELT) is that the data is landed in a normalized schema. Why? Correctness, flexibility and understandability.
The key to Extract-Load then Transform (ELT) is that the data is landed in a normalized schema. Why? Correctness, flexibility and understandability.
Organizations are improving the quality of their marketing analytics at less cost, which is translating into more overall marketing efficiency – all by adopting the modern data stack.
Integration between Fivetran and dbt Semantic Layer lets you enhance data models with rich metric definitions and derive value from data quicker and easier.
Transforming your data is an essential part of ELT. Learn how Fivetran’s Wizard for dbt Core™ and BigQuery can help.
With Fivetran on Azure, enterprise customers can now implement fully automated, managed, no-code data pipelines for reliable and secure data delivery.
Transactional databases are essential to many apps and software. Learn more about them and their benefits with Fivetran.
An enterprise data warehouse is critical to the long-term viability of your business.
What does this mean for those of us managing or trying to understand fast-growing companies?
Fivetran SAP AppConnect enables enterprises to perform log-based change data capture despite common license restrictions for databases managed by SAP applications.
Databases are important for every organization. Learn more about what databases are and the different types available.