| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| etl vs elt | 0.86 | 1 | 5851 | 25 | 10 |
| etl | 1.87 | 1 | 1731 | 4 | 3 |
| vs | 1.33 | 1 | 9095 | 98 | 2 |
| elt | 1.38 | 0.7 | 3475 | 16 | 3 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| etl vs elt | 0.91 | 0.7 | 8117 | 61 |
| etl vs elt azure | 1.97 | 0.9 | 4847 | 92 |
| etl vs elt data warehouse | 1.98 | 0.1 | 4435 | 22 |
| etl vs elt difference | 1.59 | 1 | 5445 | 93 |
| etl vs elt use cases | 1.08 | 0.4 | 1428 | 75 |
| etl vs elt pros and cons | 0.93 | 0.8 | 9938 | 34 |
| etl vs elt snowflake | 0.38 | 0.7 | 1693 | 39 |
| etl vs elt data | 1.61 | 0.5 | 9550 | 61 |
| etl vs elt tools | 0.41 | 0.6 | 1992 | 29 |
| etl vs elt diferencias | 1.99 | 0.4 | 3300 | 19 |
| etl vs elt process | 1.13 | 0.6 | 1371 | 20 |
| etl vs elt คือ | 0.07 | 0.2 | 126 | 42 |
| elt vs etl approach | 1.48 | 0.8 | 6247 | 82 |
| etl vs elt example | 1.89 | 0.1 | 6200 | 88 |
ETL is better suited for compliance with GDPR, HIPAA, and CCPA standards given that users can omit any sensitive data prior to loading in the target system. ELT carries more risk of exposing private data and not complying with GDPR, HIPAA, and CCPA standards given that all data is loaded into the target system.
What type of hardware is required for ETL but not ELT?The traditional, on-premises ETL process requires expensive hardware. Newer, cloud-based ETL solutions do not require hardware. Given that the ELT process is inherently cloud-based, no additional hardware is required.
How does the amount of data retained in the working data warehouse differ between ETL and ELT?ETL and ELT have a lot in common. At their core, each integration method makes it possible to move data from a source to a data warehouse. The difference between the two lies in where the data is transformed, and how much of data is retained in the working data warehouse.
What type of data transformation does ETL and ELT support?ELT leverages data warehousing to do basic data transformations, such as data validation or removal of duplicated data. These processes are updated in real-time and used for large amounts of raw data. ELT is a newer process that has not reached its full potential compared to its older sister, ETL.
