That’s why cloud ETL eliminates all the manual steps and manages multiple sources while reducing costs and time. However, companies process all the steps through the shared space of the Internet or cloud services. The cloud-based ETL goes through the same steps as the traditional one. Traditional ETL is expensive and time-consuming because it’s manual, and the experts must match the targeted source data schema with the extracted and transformed data. The ETL meaning of the traditional method consists of IT experts utilizing the ETL method on-premises by building and managing consistent data pipelines and matching the data with the parameters of the targeted source. You can use the traditional ETL for related data but not for unstructured data sets. On the other hand, you have the modern cloud ETL which utilizes the benefits of internet-based services. There are two answers to your question, “ What does ETL mean?” You’ll find the first one in the traditional ETL, requiring specifically trained IT staff to construct the data pipelines and rely on a time-consuming extraction, transformation, and loading process. Moreover, the ETL application of this process is usually during off-work hours. T he loading process includes initial loadings and incremental (periodical) data loads into the targeted data warehouse. The last step of the ETL process is the loading or moving of the data to the targeted data source or warehouse. The goal is to get transformed data structured and recognized by the targeted source to which you transfer the data. This step is a complex process that includes certain phases, such as filtering and cleansing, performing calculations, conducting audits, removal, encryption, and data re-formatting. The transformation involves a data processing methodology that must ensure the proper data change in the desired format. The most common data sources are SQL servers, Non-SQL servers, flat files, web pages, e-mails, CRM and ERP systems, and more. It means that before you move the data to the targeted source, you’ll have to use data integration tools to extract it from the initial source. ExtractĪs the name suggests, the first step of the ETL process involves taking data from multiple connectors and sources, i.e., extraction. Here’s a brief explanation of the three subsequent stages. The ETL Process ExplainedĮTL technology differs from other data management processes and follows a strict set of steps-extraction, transformation, and loading. The main goal of this process is to transform and transfer data from one place to another and make it accessible and understandable to the user. It’s much easier to understand the ETL meaning like a method for bringing chunks of data from multiple sources into a centralized database or a single source. If you’re new to data management, you might be asking yourself, “ What is ETL? ” ETL (Extract-Transform-Load) is essential for proper data centralization. In this article, we’ll talk about everything you need to know about ETL-its meaning, benefits, types, main ETL features, how to make the most of them, and differences with other similar data management processes. Data experts regularly utilize this method to extract data from multiple data sources, transform it into the desired format, and load it into the targeted database. The easiest way to grasp the ETL meaning is to think of it as a set of processes for data management.
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