Mapping Data Flows en Azure Data Factory

Mapping Data Flows en Azure Data Factory

Mapping Data Flows en Azure Data Factory About Outcomes Project details Testimonials Reviews Guided Project Learn, practice, and apply job-ready skills with expert guidance 2 horas Learn at your own pace No downloads or installation required Only available on desktop What you’ll learn Conocer los fundamentos de Azure Data Factory Generar los Mappings Data Flows

Description

Mapping Data Flows in Azure Data Factory

Data is one of the most valuable assets for any organization in today’s digital world. It is crucial for businesses to efficiently collect, process, and analyze data to make informed decisions. Azure Data Factory is a cloud-based data integration service that allows organizations to create, schedule, and manage data pipelines for moving and transforming data.

One of the key features of Azure Data Factory is Mapping Data Flows. Mapping Data Flows is a visual data transformation feature that enables users to design and execute data transformation logic using a drag-and-drop interface. With Mapping Data Flows, users can easily extract, transform, and load (ETL) data without writing any code.

Mapping Data Flows in Azure Data Factory offers a wide range of capabilities for data transformation.

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Mapping Data Flows en Azure Data Factory

Guided Project

Learn, practice, and apply job-ready skills with expert guidance


2 horas

Learn at your own pace

No downloads or installation required

Only available on desktop

What you’ll learn

  • Conocer los fundamentos de Azure Data Factory

  • Generar los Mappings Data Flows

  • Transformar tus datos en Data Factory con los Data Flows

Details to know

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance


2 horas

Learn at your own pace

No downloads or installation required

Only available on desktop

See how employees at top companies are mastering in-demand skills

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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introducción a Azure Data Factory

  2. Azure Portal y configuración del entorno de trabajo

  3. Ejercicio 1. Desplegando el entorno en Azure

  4. Actividades básicas en Data Factory

  5. Copy Data en Data Factory

  6. Ejercicio práctico 2: Generando un Pipeline

  7. Fundamentos de los Mapping Data Flows

  8. Actividad de Filter y Select de los Data Flows

  9. Ejercicio práctico 3: Mapping Data Flow

  10. Actividad de Pivot en Data Flows

  11. Actividades de Split y Sort en Data Flows

  12. Puesta en producción de Data Flows

  13. Ejercicio práctico 4. Mapping Data Flows Avanzados

Recommended experience

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Instructor

Leire Ahedo

Coursera Project Network

68 Courses35,733 learners

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How you’ll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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Frequently asked questions

By purchasing a Guided Project, you’ll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.

Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.

Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.

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