Monthly Recap May 2024

Learn what’s new with Data Gibberish and what you missed in May

You are with a special monthly issue of Data Gibberish. With these monthly recaps, you can catch up on what you missed the previous month. Happy reading.

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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:

1. Extract: Pulling data from source systems like databases, APIs, or files.

2. Transform: Cleaning, structuring, and enriching the data to make it usable.

3. 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…