what is a DATA PIPELINE
A data pipeline is like a system. You take data from one place, clean or process it, and send it to another place.
What is Data Warehouse / Data Lake / Data Lakehouse
1.Data Warehouse:
Stores clean, organized data
Mostly used for reports and dashboards
Example: Sales report, employee data
2.Data Lake:
Stores all types of data, even if it's not cleaned
Like images, videos, raw logs
Example: CCTV files, app logs
3.Data LakeHouse:
Mix of both warehouse and lake
You can store raw and clean data in one place
It’s a modern setup
What is Data Pipeline Architecture?
Source – Data comes from API, CSV, or database
Pipeline – You process or clean it using Python or tools like Airflow
Storage – Save it in a data lake or warehouse
Output – Use it in reports, dashboards, or machine learning models
What is Streaming in Data PipeLine?
Normally, data comes in bulk (like 1000 records at a time).
Streaming means the data is coming live — continuously.
ex:YouTube view count keeps increasing live.
Ola or Uber cab location updates live.
How to Learn Data Pipeline (Step-by-Step)?
1.Learn SQL – To read and filter data.
2.Learn Python – Use Pandas to clean data.
3.Try ETL tools – Like Apache Airflow or Talend
4.Learn Storage Tools – MySQL, PostgreSQL, AWS S3, Snowflake
5.Understand Concepts – Like batch vs streaming
6.Learn Streaming Tools – Kafka, Spark
7.Learn Visualization – Tableau, Power BI
8.Do Projects – Use real data to build your own pipeline
Stay tuned! I’ll uploading more easy-to-understand content soon to help you learn step by step. Don’t forget to check back!
Top comments (1)
Nice & Keep Going....