On the other side of the spectrum of data pipelines we have the more analytics focused pipelines. In other words, every ETL/ELT pipeline is a data pipeline, but not every data pipeline is an ETL or ELT pipeline. ETL or ELT pipelines are a subset of Data pipelines. Especially when they work with data from different sources that need to be stored in a data warehouse. They are common pipeline patterns used by a large range of companies working with data. ELT pipelines extract, load and only then transform. ETL stands for Extract, Transform, Load and it does exactly that. You might be familiar with ETL, or its modern counterpart ELT, which are common types of data pipelines. They also help to split up complex tasks into smaller, reusable components. But they all have three things in common: they are automated and they introduce reproducibility. Basically, data pipelines come in many shapes and sizes. It can be bringing data from point A to point B, it can be a flow that aggregates data from multiple sources and sends it off to some data warehouse, or it can perform some type of analysis on the retrieved data. Let’s start at the beginning, what is a data pipeline? In general terms, a data pipeline is simply an automated chain of operations performed on data. We will also explain where UbiOps pipelines fit in the general picture. In this article, we will try to help you understand the difference between a few common pipelines. Keeping track of what all these different pipelines are and how they are different from one another can be quite confusing. UbiOps, the company I am working for, also offers its own form of pipelines, for instance. You might also have noticed that the term “pipeline” can refer to many different things! Related to data science, you often have data pipelines, deployment pipelines, and inference pipelines. If you are working in the Data Science field you might continuously come across the term “data pipeline” in different articles and tutorials. Examples and explanations of how different pipeline frameworks relate to each other
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