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DP-600: Implementing Analytics Solutions Using Microsoft Fabric Training

DP-600: Implementing Analytics Solutions Using Microsoft Fabric

DP-600: Implementing Analytics Solutions Using Microsoft Fabric is designed for data professionals who are familiar with data modeling, extraction, and analytics.This course is designed for data professionals who are interested in using the Microsoft Fabric platform to create and deploy end-to-end, enterprise-scale analytics solutions using Fabric.Analytics Engineers should have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions.The responsibilities for this role include transforming data into reusable analytics assets by using Microsoft Fabric components, such as lakehouses, data warehouses, notebooks, dataflows, data pipelines, semantic models, and reports. nalytics engineers implement analytics best practices in Fabric, including version control and deployment.Fabric Analytics Engineers partner with other roles, such as: Solution Architects, Data Engineers, Data Scientists, AI Engineers, Database Administrators, and Power BI data analysts. n addition to in-depth work with the Fabric platform, Analytics Engineers need experience with: data modeling, data transformation, Git-based source control, exploratory analytics, and languages, including Structured Query Language (SQL), Data Analysis Expressions (DAX), and PySpark.

 

While there are no required prerequisites for taking this course, it is recommended that students have:

  • A foundational knowledge of core data concepts and how they’re implemented using Microsoft data services. For more information see Azure Data Fundamentals.
  • Experience designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value using Microsoft Power BI. For more information see Power BI Data Analyst.

In this course, you'll learn how to implement end-to-end analytics solutions with Microsoft Fabric.

  • Plan, implement, and manage a solution for data analytics
  • Prepare and serve data.
  • Implement and manage semantic models.
  • Explore and analyze data.

This DP-600 course includes exercises to enable you to learn practical skills with the technologies.

Microsoft Courseware

Instructor-Led Training

Course Duration: 4-Days (32-Hours)

Microsoft Official Lab Exercises

Delivered by MCT

Cloud Lab Access

Overview

The primary audience for this DP-600 is data professionals who are familiar with data modeling, extraction, and analytics.This course is designed for data professionals who are interested in using the Microsoft Fabric platform to create and deploy end-to-end, enterprise-scale analytics solutions using Fabric.As a candidate for this exam, you should have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions.Your responsibilities for this role include transforming data into reusable analytics assets by using Microsoft Fabric components, such as Lakehouses, Data warehouses, Notebooks, Dataflows, Data pipelines, Semantic models, Reports.

 

You implement analytics best practices in Fabric, including version control and deployment.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

 

Modules

Module 1: Explore end-to-end analytics with Microsoft Fabric

  • Describe end-to-end analytics in Microsoft Fabric
  • Understand data teams and roles that use Fabric
  • Describe how to enable and use Fabric

Module 2: Ingest data with Dataflow Gen2 in Microsoft Fabric

  • Use Data Factory pipelines in Microsoft Fabric
  • Ingest data with Spark and Microsoft Fabric notebooks
  • Organize a lakehouse with medallion architecture

Module 3: Get started with data warehouses in Microsoft Fabric

  • Load data into a Microsoft Fabric warehouse
  • Query a warehouse in Microsoft Fabric
  • Monitor a Microsoft Fabric warehouse
  • Secure a Fabric warehouse

Module 4: Understand scalability in Power BI

  • Describe the importance of building scalable semantic models
  • Implement Power BI data modeling best practices
  • Use the Power BI large semantic model storage format

Module 5: Get started with data warehouses in Microsoft Fabric

  • Different strategies to load data into a data warehouse
  • How to build a data pipeline to load a warehouse
  • How to load data in a warehouse using T-SQL
  • How to load and transform data with dataflows Gen2

Module 6: Query a data warehouse in Microsoft Fabric

  • Warehouse security overview
  • Fabric workspace and item permissions
  • Granular security permissions
  • User access recommendations

Module 7: Understand scalability in Power BI

  • Describe the importance of building scalable semantic models
  • Implement Power BI data modeling best practices
  • Use the Power BI large dataset storage format

Module 8: Enforce semantic model security

  • Restrict access to Power BI model data with RLS.
  • Restrict access to Power BI model objects with OLS.
  • Apply good development practices to enforce Power BI model security.

Fees And Schedule

Instructor-Led Training

32-Hours of Instructor-Led Training One to one doubt resolution sessions Microsoft Official Lab Access

Learning Objectives

In this course, you’ll learn how to implement end-to-end analytics solutions with Microsoft Fabric. You’ll learn how to:
  • Plan, implement, and manage a solution for data analytics.
  • Prepare and serve data.
  • Implement and manage semantic models.
  • Explore and analyze data.

How do our DP-600: Implementing Analytics Solutions Using Microsoft Fabric Course Work?

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