ELT
![Four approaches to data infrastructure modernization](https://cdn.prod.website-files.com/6130fa1501794e37c21867cf/65f892d6ccc0ec1419c85fd8_Four%20approaches%20to%20infrastructure%20modernization.png)
Four approaches to data infrastructure modernization
As your organization’s data operations mature, you will need to upgrade your infrastructure to fulfill new needs and requirements
![Cost-effective ELT: Four factors to consider](https://cdn.prod.website-files.com/6130fa1501794e37c21867cf/65f8926c714765f2c67b2a07_Cost-effective%20ELT_%20Four%20factors%20to%20consider.png)
Cost-effective ELT: Four factors to consider
From DIY opportunity cost and pipeline maintenance to moving and transforming data, here’s how to judge the cost-effectiveness of ELT.
![Orchestrate ELT with the Fivetran Prefect Collection](https://cdn.prod.website-files.com/6130fa1501794e37c21867cf/63851a3be8b37d73b0dd3351_112922_Fivetran%2BPrefect%20blog.png)
Orchestrate ELT with the Fivetran Prefect Collection
One pre-written line of code for each data source is all you need to effectively orchestrate automated data ingestion.
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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.
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