Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
etlll | 1.76 | 0.2 | 3618 | 42 | 5 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
etlll | 1.91 | 0.3 | 9406 | 48 |
etllll | 0.89 | 1 | 2717 | 42 |
ettlingen | 1.63 | 0.7 | 2018 | 50 |
etl logo | 0.69 | 0.5 | 288 | 14 |
etl logs | 1.48 | 0.3 | 7557 | 64 |
etlled-002/30/b | 1.29 | 0.4 | 2492 | 98 |
etllao | 1.31 | 0.6 | 7380 | 47 |
etllins | 0.56 | 0.2 | 1287 | 70 |
etllasiesta | 1.19 | 0.4 | 6852 | 34 |
etlleida.com | 0.32 | 0.2 | 4860 | 46 |
etll1322u | 0.18 | 1 | 1372 | 44 |
etelller med 5 | 0.85 | 0.7 | 3387 | 42 |
etllogs文件夹里的文件能删吗 | 1.79 | 0.3 | 5256 | 59 |
What is ETL? ETL, which stands for extract, transform and load, is a data integration process that combines data from multiple data sources into a single, consistent data store that is loaded into a data warehouse or other target system.
What are the steps in ETL?ETL enables physical movement of data from source to target data repository. The first step, extraction, is to collect or grab data from from its source (s). The second step, transformation, is to convert, reformat, cleanse data into format that can be used be the target database.