| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| etl meaning in business | 1.99 | 0.1 | 4438 | 14 | 23 |
| etl | 1.53 | 0.2 | 9884 | 71 | 3 |
| meaning | 0.35 | 0.9 | 7568 | 68 | 7 |
| in | 0.9 | 0.2 | 5876 | 99 | 2 |
| business | 1.34 | 0.3 | 8078 | 47 | 8 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| etl meaning in business | 0.77 | 0.2 | 7479 | 2 |
| elt meaning in business | 0.41 | 0.6 | 9770 | 3 |
| etl stands for in business intelligence | 0.05 | 0.2 | 5608 | 64 |
| what is etl in it | 0.12 | 0.1 | 3038 | 64 |
| what does etl stand for in technology | 0.18 | 0.9 | 5214 | 51 |
| what is etl stand for | 1.65 | 0.1 | 1672 | 98 |
| what does etl stand for in data | 0.58 | 1 | 1756 | 100 |
| what does etl mean tech | 1.58 | 0.6 | 1899 | 57 |
| what does etl stand for database | 0.03 | 0.8 | 7672 | 17 |
| what does the acronym etl stand for | 0.3 | 0.3 | 2470 | 21 |
| elt meaning in management | 1.55 | 0.7 | 6109 | 60 |
| elt meaning in english | 1.4 | 0.4 | 7080 | 40 |
In computing, extract, transform, load ( ETL) is a three-phase process where data is extracted, transformed (cleaned, sanitized, scrubbed) and loaded into an output data container. The data can be collated from one or more sources and it can also be outputted to one or more destinations.
What are the benefits of using ETL?ETL provides the foundation for data analytics and machine learning workstreams. Through a series of business rules, ETL cleanses and organizes data in a way which addresses specific business intelligence needs, like monthly reporting, but it can also tackle more advanced analytics, which can improve back-end processes or end user experiences.
What are the career options in ETL?ETL has a bright future as data is expanding exponentially, and hence job opportunities for ETL professionals are also increasing regularly. A person can have a great career as an ETL developer. Top MNC’s like Volkswagen, IBM, Deloitte and many more are working on ETL projects and therefore require ETL professionals on a large scale.
What are the three steps of ETL?ETL is a type of data integration that refers to the three steps (extract, transform, load) used to blend data from multiple sources. It's often used to build a data warehouse.
