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5 Reasons Why ETL Professionals Should Learn Hadoop

ProjectPro

SEPTEMBER 30, 2014

The conventional ETL software and server setup are plagued by problems related to scalability and cost overruns, which are ably addressed by Hadoop. If you encounter Big Data on a regular basis, the limitations of the traditional ETL tools in terms of storage, efficiency and cost is likely to force you to learn Hadoop.

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Hadoop Unstructured Data ETL Tools ETL System 52
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What is ETL Pipeline? Process, Considerations, and Examples

ProjectPro

NOVEMBER 30, 2021

Incremental Extraction Each time a data extraction process runs (such as an ETL pipeline), only new data and data that has changed from the last time are collected—for example, collecting data through an API. It is the most feasible option when the data size is huge.

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Process Data Pipeline Data Warehouse AWS 52
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