DP-600T00 | Microsoft Fabric Analytics Engineer
 
This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will build on existing analytics experience and will learn how to use Microsoft Fabric components, including lakehouses, data warehouses, notebooks, dataflows, data pipelines, and semantic models, to create and deploy analytics assets.
This course is best suited for those who have the PL-300 certification or similar expertise in using Power BI for data transformation, modeling, visualization, and sharing. Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.
 
Audience profile
The primary audience for this course is data professionals with experience in data modeling, extraction, and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.
 
Prerequisites
To implement solutions as a Fabric analytics engineer, you partner with other roles, such as:
Solution architects
Data engineers
Data scientists
AI engineers
Database administrators
Power BI data analysts
In addition to in-depth work with the Fabric platform, you need experience with:
Data modeling
Data transformation
Git-based source control
Exploratory analytics
Languages, including Structured Query Language (SQL), Data Analysis Expressions (DAX), and PySpark.
 
Outline course
Module 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.
Ingest Data with Dataflows Gen2 in Microsoft Fabric
Ingest data with Spark and Microsoft Fabric notebooks
Use Data Factory pipelines in Microsoft Fabric
Module 2: Implement a Lakehouse with Microsoft Fabric
This learning path introduces the foundational components of implementing a data lakehouse with Microsoft Fabric.
Introduction to end-to-end analytics using Microsoft Fabric
Get started with lakehouses in Microsoft Fabric
Use Apache Spark in Microsoft Fabric
Work with Delta Lake tables in Microsoft Fabric
Ingest Data with Dataflows Gen2 in Microsoft Fabric
Use Data Factory pipelines in Microsoft Fabric
Organize a Fabric lakehouse using medallion architecture design
Module 3: Implement a data warehouse with Microsoft Fabric
Explore the data warehousing process and learn how to load, monitor, and query a warehouse in Microsoft Fabric.
Get started with data warehouses in Microsoft Fabric
Load data into a Microsoft Fabric data warehouse
Query a data warehouse in Microsoft Fabric
Monitor a Microsoft Fabric data warehouse
Module 4: Work with semantic models in Microsoft Fabric
Designing reports for enterprise scale requires more than just connecting to data. Understanding semantic models and strategies for scalability and optimization are key to a successful enterprise implementation. This learning path helps you prepare for the Fabric Analytics Engineer Certification.
Understand scalability in Power BI
Create Power BI model relationships
Use tools to optimize Power BI performance
Enforce Power BI model security
Module 5: Design and build tabular models
This learning path introduces the foundational components of designing scalable tabular models using Power BI. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.
Create Power BI model relationships
Use DAX time intelligence functions in Power BI Desktop models
Create calculation groups
Enforce Power BI model security
Use tools to optimize Power BI performance
Module 6: Manage the analytics development lifecycle
This learning path introduces the foundational components of implementing lifecycle management techniques for Power BI assets. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.
Design a Power BI application lifecycle management strategy
Create and manage a Power BI deployment pipeline
Create and manage Power BI assets
 
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Debido a las constantes actualizaciones de los contenidos de los cursos por parte del fabricante, el contenido de este temario puede variar con respecto al publicado en el sitio oficial, sin embargo, Netec siempre entregará la versión actualizada de éste.