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
Call Number:Libro Electrónico
Main Author: Kromer, Mark (Author)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : APRESS, 2022.
Subjects:
Windows Azure.
Data warehousing.
Database management.
Information storage and retrieval systems > Data processing.
Cloud computing.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Part I Getting Started with Azure Data Factory and Mapping Data Flows
  • ETL for the Cloud Data engineer
  • Introduction to Azure Data Factory
  • Introduction to Mapping Data Flows
  • Part II Designing Scalable ETL Jobs with ADF Mapping Data Flows
  • Build Your First Pipeline
  • Common ETL pipeline practices in ADF with mapping data flows
  • Slowly changing dimensions
  • Data deduplication
  • Mapping data flow advanced topics
  • Part III Operationalize your ETL Data Pipelines
  • Basics od CI/CD and pipeline scheduling
  • Monitor, manage, and optimize.

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