What is ETL and ELT?ETL and ELT kya hai?

🧸 Think of it likeAise samjho

Like groceries: ETL is washing and cutting vegetables before putting them in the fridge; ELT is putting everything in the fridge first and cutting what you need later.Sabzi jaisa: ETL matlab fridge mein rakhne se pehle dho kar kaat lena; ELT matlab sab pehle fridge mein rakhna aur zaroorat pe baad mein kaatna.

📘 ExplainedVistaar se

ETL cleans data before it lands, useful when data must be masked first. ELT loads raw data into a cloud warehouse and transforms it with SQL (often dbt), which is the common modern approach because raw data can be reprocessed when logic changes.ETL data aane se pehle saaf karta hai, jab data pehle mask karna zaroori ho tab kaam ka. ELT raw data cloud warehouse mein load karke SQL (aksar dbt) se transform karta hai, jo aaj ka common tarika hai kyunki logic badalne pe raw data dobara process ho sakta hai.

💡 Real exampleAsli example

Loading raw app events into BigQuery, then building clean tables with dbt.Raw app events BigQuery mein load karna, phir dbt se saaf tables banana.

📖 Learn it step by stepStep by step seekho

• Data pipelines: ETL, Airflow, dbt and SparkData pipelines: ETL, Airflow, dbt aur Spark

🔗 Related termsJude hue shabd

• Data pipelineAutomated steps that move data from sources, clean and transform it, and deliver it for reports or models.Apne aap chalne wale steps jo sources se data laate, saaf aur transform karte, aur reports ya models tak pahunchaate hain.
• Data warehouseA database designed for analysing large amounts of historical data with SQL.Database jo bahut saare purane data ko SQL se analyse karne ke liye bana hai.