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5 Reasons Why ETL Professionals Should Learn Hadoop

ProjectPro

Reason Two: Handle Big Data Efficiently The emergence of needs and tools of ETL proceeded the Big Data era. As data volumes continued to grow in the traditional ETL systems, it required a proportional increase in the people, skills, software and resources.

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What is ETL Pipeline? Process, Considerations, and Examples

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ETL (Extract, Transform, and Load) Pipeline involves data extraction from multiple sources like transaction databases, APIs, or other business systems, transforming it, and loading it into a cloud-hosted database or a cloud data warehouse for deeper analytics and business intelligence.

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