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A data analytics team is designing a data ingestion pipeline on Google Cloud. The team has established the following operational requirements:
Which data pipeline methodology does this architecture represent?
ELT (Extract, Load, Transform) is a modern data integration methodology where data is first extracted from source systems, immediately loaded into a centralized data repository (such as a cloud data warehouse or data lake), and subsequently transformed directly within that target system using its native compute capabilities.
In modern cloud architectures featuring high-performance data warehouses like BigQuery, ELT is the optimal choice. It decouples extraction and loading from data transformation, maximizing throughput while reducing infrastructure management overhead.
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