Monthly Recap May 2024
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Understanding Data Pipelines: Why The Heck Businesses Need Them
What are Data Pipelines?
Data pipelines are a series of steps that move and transform data from source systems to target systems. They enable you to extract data from various sources, apply transformations, and load it into destinations like data warehouses or lakes for further analysis.
Key Components of Data Pipelines
Data pipelines typically involve three main stages:
Extract: Pulling data from source systems like databases, APIs, or files.
Transform: Cleaning, structuring, and enriching the data to make it usable.
Load: Loading the transformed data into target systems for storage and analysis.
Batch vs Streaming Pipelines
Data pipelines can process data in two modes:
Batch processing: Data is processed periodically in larg…
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