I was surfing through LinkedIn then I saw this interesting concept of data pipeline and as usual thought of sharing it in my own words. there you go!
Introduction
In our data-driven world, understanding data pipelines is crucial, even for those not deeply versed in technology. A data pipeline is like a highway system for data, ensuring that it travels efficiently from its source to its destination. This blog simplifies the concept of data pipelines, breaking them down into five key phases: Collect, Ingest, Store, Compute, and Consume.
1. Collect: Gathering Data
Think of data collection like gathering ingredients for a recipe. Data comes from various sources - like online systems, apps, or even remote devices. This step is all about collecting these different data "ingredients" so they can be processed and used.
2. Ingest: Organizing Data
Once we have our data, it's time to organize it. Imagine sorting your collected ingredients onto your kitchen counter. Data ingestion involves loading data into our systems and lining it up (like in queues) for further processing.
3. Store: Keeping Data Safe and Accessible
Storing data is akin to putting your groceries in the pantry or fridge. We store the organized data in various digital storages like data warehouses (big data storerooms), data lakes (raw, unstructured data pools), or databases (organized shelves of data).
4. Compute: Refining Data
This phase is where data gets cooked or processed. It involves cleaning, sorting, and transforming the data (like cutting veggies or marinating meat) to meet our standards and needs. This can be done in batches (like meal prepping for the week) or in real-time (like cooking a meal on demand).
5. Consume: Using Data
Finally, the data is ready to be used. This step is like serving the meal. The processed data is presented through various tools and applications, such as analytics platforms, dashboards, or even in decision-making processes, helping businesses or users make informed choices.
The best way to represent the data pipeline
Source of GIF: https://www.linkedin.com/feed/update/urn:li:activity:7151351743505698818?utm_source=share&utm_medium=member_desktop
Conclusion:
Data pipelines are essential in handling the vast amounts of data generated and used today. Each phase, from collecting to consuming, plays a vital role in transforming raw data into valuable insights. Understanding these stages helps us appreciate how data shapes our decisions and systems in the digital world.
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