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Understanding ETL: Data Pipelines for Modern Data Architectures (Early Release)

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Extract, transform, load (ETL) is at the center of every application of data, from business intelligence to AI. This technical guide offers data engineers, engineering managers, and architects an overview of the modern ETL process, along with the challenges you're likely to face and the strategic patterns that will help you overcome them. You will be equipped to make informed decisions when implementing ETL and choose the technology stack that will help you succeed.

Author(s): Matt Palmer
Publisher: O'Reilly Media, Inc.
Year: 2024

Language: English
City: Sebastopol