Updated on 28th Jun, 22 8086 Views

In Data Warehouse, when any data has to be transferred from one database to some other database, then data has to be picked up from the first database, do certain changes and operations as to fit up in the other database and then load to the destination database. This whole procedure is termed as the ETL process i.e. the extract, transform and then load. It is not a component but a process of development efforts in the data warehousing technologies. It is not just a process that can be done by anyone. But it needs proper ETL skills to deploy. ETL is not a short-term process but it takes days, months and years to get done. It occurs very frequently and if at the very first time it is defined well, it runs automatically without any problem.

Once the data is put under the ETL process, then the data in the text file or in the spreadsheet becomes efficient and well readable. The ETL process cannot be done on the data warehouse or source database but it should be done on a different kind of database server. Since data has to be transferred periodically, so studying the time interval, the developers schedule the ETL process and that it runs automatically according to the scheduled time. If ETL process is not automated, then the developers work will be increased because they have to run the ETL process, again and again, every time there is a need for data transfer.

Certification in Bigdata Analytics

Extraction in the ETL Process

When we extract data from different data sources, they need to be incorporated into a single system. If all the extracted data are on different systems then it is very difficult to pass on to the data warehouse. Without ETL, extraction seems to be really complex. ETL process very simply integrates all the data coming from different data sources. There are certain rules and regulations that have to be followed while extracting data from different data sources using ETL. ETL integrates different systems and hardware in the extraction of data.

Get an inside look at the success story of Subhrosmita based on Informatica PowerCenter at Upskilling Helped me to get Back into the Workforce: Subhrosmita’s Journey.

Mapping of data is very important. Making a flow chart from the source till the data reaches the data warehouse is essential. Once the flow chart is prepared, then only the full flow of the process will be cleared.

ETL Process

The data extraction process is split into two more phases:

• Data discovery phase
• Second anomaly detection phase

Want to get certified in ETL tools. Learn from our experts and do excel in your career with intellipaat’s ETL Tool training process.

Data Transformation in the ETL Process

The Transformation is the most important phase of the ETL process. For transforming of the data, the data is checked on behave of its quality.  Depending on the quality, the data is put under cleaning stage. If errors are found then the transformation is stopped. If there is no error, then the data proceeds to the next stage of ETL process that is the Load stage.

Data TRANSFORMATION in the ETL Process

Loading in the ETL Process

Once the data is extracted, it is cleaned and then made ready to be uploaded in the data warehouse. Once cleaned, it is sent to the landing area and then send to the data warehouse.

Learn about Erwin software used for data modeling in our blog at Erwin Tutorial.

We have to make sure that during the loading procedure we use as fewer assets as we can. We should immobilize all indexes and limitations before loading and then again enable them once it is really done.

ETL Process


ETL is an awesome process for data warehousing projects. It is a costly procedure so we need to make sure that it is done properly or else huge loss of capital is confirmed. There are various ETL tools making this process simpler like the Elixir Repertoire for Data ETL, Pervasive Data Integrator, Oracle Warehouse Builder (OWB) , IBM InfoSphere Warehouse Edition, etc.

Enroll yourself in Data Warehouse Erwin training and give a head-start to your career!

Course Schedule

Name Date Details
Data Analytics Courses 28 Jan 2023(Sat-Sun) Weekend Batch
View Details
Data Analytics Courses 04 Feb 2023(Sat-Sun) Weekend Batch
View Details
Data Analytics Courses 11 Feb 2023(Sat-Sun) Weekend Batch
View Details

Leave a Reply

Your email address will not be published. Required fields are marked *

Speak to our course Advisor Now !

Related Articles

Associated Courses

Subscribe to our newsletter

Signup for our weekly newsletter to get the latest news, updates and amazing offers delivered directly in your inbox.