3/18/2024 0 Comments ETL Extract Transform Load![]() In this way, the data can be compared and the obsolete information can be specifically deleted. This is often done using a unique ID or by entering the time at which the information was saved. If there is already older information of the same type there, this must be supplemented accordingly or even exchanged. The data we prepared in the previous steps can now be loaded into the data warehouse or the target database. This could include, for example, that the turnover is already aggregated on a daily basis and not each order is saved individually if this is required. In addition, basic calculations are already made here with which the data can be summarized or prepared. This includes, for example, filling in missing values or correcting errors. If there are still data quality problems, these are now processed. In this stage, all data is transformed into a structure that matches the data model of the data warehouse or the application. The Extract step involves loading information from a wide variety of sources. If there are no or only a few deficiencies, the data is passed to the next stage, where the necessary changes are made. If the data has gross quality defects, it can also be rejected at this stage. For example, checks could be made to see if all items that represent a price are also marked in USD. These checks can include, for example, matching the data type or looking for missing values. In this step, among other things, data quality checks are performed to ensure a clean state in the data warehouse. To better understand the Extract, Transform, Load process, it is worthwhile to look at the individual phases in detail: ETL ExtractĮxtraction is the process step in which data is retrieved from various sources and stored centrally. All of this happens in the ETL process.Įxtract, Transform, Load Process | Source: Author What are the ETL Process Steps? This data should be stored as uniformly as possible in a central data warehouse in order to be available for data mining or data analytics.įor this information to be reliable and resilient, it must be pulled from the various source systems, prepared, and then loaded into a target system. This information also comes from many different systems with their own data structures and logic. What is ETL?Ĭompanies and organizations are faced with the challenge of having to deal with ever-larger volumes of data. When large amounts of data are to be visualized, the individual stages come into play. The Extract, Transform, Load process (short: ETL) describes the steps between collecting data from various sources to the point where it can finally be stored in a data warehouse solution. ![]()
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