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DP-700: Microsoft Fabric Data Engineer

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  • Опис
  • Содржина
  • За кого е наменет
  • Сертификати

This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes. Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions. This course is designed for experienced data professionals skilled at data integration and orchestration, such as those with the DP-203: Azure Data Engineer certification.

LEARNING PATH 1
Ingest data with Microsoft Fabric

 

  • Explore how Microsoft Fabric enables you to ingest and orchestrate data from various sources (such as files, databases, or web services) through dataflows, notebooks, and pipelines.

 

LEARNING PATH 2
Implement a Lakehouse with Microsoft Fabric

 

  • This learning path introduces the foundational components of implementing a data lakehouse with Microsoft Fabric.

 

LEARNING PATH 3
Implement Real-Time Intelligence with Microsoft Fabric

 

  • Real-time intelligence in Microsoft Fabric enables analysis of streaming events in real or near-real time.

 

LEARNING PATH 4
Implement a data warehouse with Microsoft Fabric

 

  • Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric.

 

LEARNING PATH 5
Manage a Microsoft Fabric environment

 

  • Microsoft Fabric is a Software-as-a-Service platform for data analytics. Learn how to manage your environment through Continuous Integration/Continuous Deployment (CI/CD), monitoring, and security.

 

This audience for this course is data professionals with experience in data extraction, transformation, and loading. DP-700 is designed for professionals who need to create and deploy data engineering solutions using Microsoft Fabric for enterprise-scale data analytics. Learners should also have experience at manipulating and transforming data with one of the following programming languages: Structured Query Language (SQL), PySpark, or Kusto Query Language (KQL).

Microsoft Certified: Fabric Data Engineer Associate

Опис

This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes. Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions. This course is designed for experienced data professionals skilled at data integration and orchestration, such as those with the DP-203: Azure Data Engineer certification.

Содржина

LEARNING PATH 1
Ingest data with Microsoft Fabric

 

  • Explore how Microsoft Fabric enables you to ingest and orchestrate data from various sources (such as files, databases, or web services) through dataflows, notebooks, and pipelines.

 

LEARNING PATH 2
Implement a Lakehouse with Microsoft Fabric

 

  • This learning path introduces the foundational components of implementing a data lakehouse with Microsoft Fabric.

 

LEARNING PATH 3
Implement Real-Time Intelligence with Microsoft Fabric

 

  • Real-time intelligence in Microsoft Fabric enables analysis of streaming events in real or near-real time.

 

LEARNING PATH 4
Implement a data warehouse with Microsoft Fabric

 

  • Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric.

 

LEARNING PATH 5
Manage a Microsoft Fabric environment

 

  • Microsoft Fabric is a Software-as-a-Service platform for data analytics. Learn how to manage your environment through Continuous Integration/Continuous Deployment (CI/CD), monitoring, and security.

 

За кого е наменет

This audience for this course is data professionals with experience in data extraction, transformation, and loading. DP-700 is designed for professionals who need to create and deploy data engineering solutions using Microsoft Fabric for enterprise-scale data analytics. Learners should also have experience at manipulating and transforming data with one of the following programming languages: Structured Query Language (SQL), PySpark, or Kusto Query Language (KQL).

Сертификати

Microsoft Certified: Fabric Data Engineer Associate

Контакт

  • Ирена Ивановска
    +389 70 246 146 irena@semos.com.mk

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