Today we are giving you information related to ETL in this article, if you do not know much about ETL, then this article of our day is going to be very useful for you, through this article today we will tell you that ETL Full Form What happens and what is called ETL and along with this, we are going to tell you many other important information related to it through this article.

We all use many sort forms every day about which we are not really aware and we often write such articles in which we keep telling you about some other words like in today’s article we Telling you about ETL Full Form, in this way we have written many articles about many other words, which you can read on our blog.

You all know that there are very few people who speak all the words because most of the people say more words in the form form, because of that we cannot get much information about those words, we have created this blog so that we can tell you the complete information of every small big word, today we are telling you about ETL, if you want to get complete information related to ETL, then you have our complete article 

ETL Full Form

First of all, we are telling you about the full name of ETL, most people do not know what its full name is.

ETL Full Form – Extract, Transform, Load 

 This is its full name and Extract, transform, load is called ETL in sort.

What is an ETL?

First we tell you about what is called extract transform load? So that you can know who is called ETL. The process of copying data from one or more sources to a destination system is called ETL. The ETL process became a popular concept in the 1970s and is often used in data warehousing.

Data extraction also involves the process of extracting data from homogeneous and heterogeneous arms. They also process through data transformation and data cleansing, and these data loadings are the ultimate target database in an operational data store, data mart, data lake, data warehouse Like also performs the task of insertion of data.

It has been designed in such a way that this system extracts the data from the source system and also serves to implement the data quality stability parameters. It corresponds to the data so that it can be used simultaneously from different sources so that the data is delivered in a presentation-ready format so that the application developers can build and use their application and user. Can decide.

ETL systems can integrate data from many applications very fast and secure and are usually supported and developed by different vendors and are hosted on different computers so that different systems with basic data are restricted by different employees and Is operated.

ETL has three different parts.

  1. Extract
  2. Transform
  3. Load

Now we are telling you the information about the three steps so that you can understand the whole process of it.

1. Extract

In the first part of the ETL, data is extracted from the source system. Extract is the main part of the ETL as these key steps are the key to the success of the process after the data is extracted. Most data warehousing works by connecting data from different source systems and each system is able to use a different data organization and format and common formats include relational databases and XML and JSON and plate files etc.

Data validation is done to verify the internal parts of the extraction whether the data drawn from any source is the correct value in any given domain etc. If the data validation fails any rule then it is completely partial It is rejected in the form and in order to get the information of wrong records of any rejected data and to rectify it, it should be further returned to the source system. Iport is to him precisely detect a mistake it

2. Transform

An important function of this transformation is data cleansing whose function is to pass the appropriate data to the target when our different systems interact, the challenge is in the interfacing and communication of the respective system itself or the characters it makes available in a system While in others it does not

In many other cases one or more of the following types may be required to meet the business and technical requirements of a server or data warehouse such as

  1. Selecting only a few columns to load
  2. Translate coded values
  3. Encoding free form values
  4. Get a new calculated value
  5. Sorting data based on a list of columns to improve search performance
  6. Connecting data from multiple sources
  7. To collect
  8. Generating surrogate-key values
  9. Transposing or pivoting
  10. Splitting one column into several different columns 
  11. Separating or deleting repeating columns
  12. Viewing and validating relevant data from tables or referenced files
  13. Implementing or viewing any form of data validation


3. Load

It loads any data at the last stage and these processes vary widely depending on the organization and its requirement. In this, the data is updated back on a more daily, weekly or monthly basis. Load Step One Interacts with the database 

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