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If you encounter Big Data on a regular basis, the limitations of the traditional ETLtools in terms of storage, efficiency and cost is likely to force you to learn Hadoop. Reason Two: Handle Big Data Efficiently The emergence of needs and tools of ETL proceeded the Big Data era.
ETL (Extract, Transform, and Load) Pipeline involves data extraction from multiple sources like transaction databases, APIs, or other businesssystems, transforming it, and loading it into a cloud-hosted database or a cloud data warehouse for deeper analytics and businessintelligence.
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