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Architectural flat files, buy used12/25/2023 Note. Other types of transformations (any type of calculation provided by the ETL tool) data normalization (converting data to a common format).data enrichment (adding missing information).data cleansing (removing duplicates, correcting errors).Once the data is extracted, it often needs to be cleaned, validated, transformed, and structured into a consistent format suitable for analysis. Transform: You can think about this step like your business layer in applications. The goal is to gather the necessary data for analysis. İt is just a process of extracting data from different sources, Transforming them into the required format, and loading data into a Target.Įxtract: the source of data extraction can be various source systems, which could include databases, applications, APIs, flat files, web services, and more. But first, let’s try to answer the question: What is ETL?ĮTL stands for Extract, Transform, Load. In this article, we will dive into the details of ETL processes and will talk about the role of KAFKA in ETL. In our previous post, we learned about “what is KAFKA and Why we need to use it”.
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