We load data to a store using ETL. It is a series of steps to collect data and to transform it according to business rules. These are the three steps:
- Extraction. In other words, taking data from the source systems and importing it into a staging area. Each data source has its own set of characteristics that need to be managed.
- Transformation. In other words, cleaning and other procedures applied to the data to obtain accurate, complete, and unambiguous data.
- Loading. In other words, data is written from the staging area into the databases or warehouses.
Why use ETL?
ETL is the most effective approach to provide fast access to information. It allows organizations to analyze data that resides in multiple locations in a variety of formats. It increases efficiency and drives better business decisions.
What is the Best Tool for ETL?
There are several tools available. However, at JTA, we believe that using R programming instead of other classic ETL tools, provides significantly better data manipulation and is more efficient.
You might be interested to read the Wikipedia article on ELT which you can find here.
If you would like to know some more then read about How JTA The Data Scientists does its work or have a look at some other FAQs.
You could also explore our case studies or whitepapers.