Mapping data flows in Azure data factory : building scalable ETL projects in the Microsoft Cloud

Mapping data flows in Azure data factory building scalable ETL projects in the Microsoft Cloud

Build scalable ETL data pipelines in the cloud using Azure Data Factory's Mapping Data Flows. Each chapter of this book addresses different aspects of an end-to-end data pipeline that includes repeatable design patterns based on best practices using ADF's code-free data transformation desi...

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Bibliographic Details
Other Authors: Kromer, Mark, author (author)
Format: eBook
Language:Inglés
Published: [Place of publication not identified] : Apress [2022]
Subjects:
Windows Azure.
Data warehousing.
Database management.
Information storage and retrieval systems > Data processing.
Cloud computing.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009676326306719
Description
Summary:Build scalable ETL data pipelines in the cloud using Azure Data Factory's Mapping Data Flows. Each chapter of this book addresses different aspects of an end-to-end data pipeline that includes repeatable design patterns based on best practices using ADF's code-free data transformation design tools. The book shows data engineers how to take raw business data at cloud scale and turn that data into business value by organizing and transforming the data for use in data science projects and analytics systems.
Item Description:Includes index.
Physical Description:1 online resource (204 pages)
Bibliography:Includes index.
ISBN:9781484286128

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