As a Data Engineer, building 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 is usually at the core of what you do. You can build data pipelines with any combination of tools but there are 𝟰 𝘁𝗵𝗶𝗻𝗴𝘀 that fundamentally make up every data pipeline.

➡️ 1. Data source(s): This is where the data is coming from. Usually a database or API.

➡️ 2. Business logic: This is the logic used to transform the data based on the business needs.

➡️ 3. Data destination(s): Where you actually store your transformed data. Typically a data warehouse or data lake.

➡️ 4. Scheduler/Workflow orchestration: How you'll run your data pipeline on a schedule or in response to events.

Click below to read more about this data engineering concept and see several examples of different types of data pipelines:

#DataEngineering #DataPipeline