DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI

DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI Responsibilities is designed for individuals willing to learn performing advanced data analytics at scale, such as cleaning and transforming data, designing and building enterprise data models, incorporating advanced analytics capabilities, integrating with IT infrastructure, and applying development lifecycle practices.

 

Before attending this DP-500 course, it is recommended that students have

  • A foundational knowledge of core data concepts and how they're implemented using Azure data services.
  • 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.
 

After completing this DP-500 course, students will be able to:

  • Query and transform data
  • Implement and manage data models
  • Explore and visualize data
  • Implement and manage a data analytics environment
 

This course includes hands-on exercises/demonstrations 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

Candidates for this exam should have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions.Azure enterprise data analysts collaborate with other roles, such as solution architects, data engineers, data scientists, AI engineers, database administrators, and Power BI data analysts.

 

Responsibilities for this role include performing advanced data analytics at scale, such as cleaning and transforming data, designing and building enterprise data models, incorporating advanced analytics capabilities, integrating with IT infrastructure, and applying development lifecycle practices. These professionals help collect enterprise-level requirements for data analytics solutions that include Azure and Microsoft Power BI. They also advise on data governance and configuration settings for Power BI administration, monitor data usage, and optimize performance of the data analytics solutions.

 

Modules

Module 1: Introduction to data analytics on Azure

In this module you'll learn how to:
  • Explore Azure data services for modern analytics
  • Understand concepts of data analytics
  • Explore data analytics at scale

Module 2: Govern data across an enterprise

In this module you'll learn how to:
  • Introduction to Microsoft Purview
  • Discover trusted data using Microsoft Purview
  • Catalog data artifacts by using Microsoft Purview
  • Manage Power BI assets by using Microsoft Purview

Module 3: Model, query, and explore data in Azure Synapse

In this module you'll learn how to:
  • Introduction to Azure Synapse Analytics
  • Use Azure Synapse serverless SQL pool to query files in a data lake
  • Analyze data with Apache Spark in Azure Synapse Analytics
  • Analyze data in a relational data warehouse

Module 4: Prepare data for tabular models in Power BI

In this module you'll learn how to:
  • Choose a Power BI model framework
  • Understand scalability in Power BI
  • Create and manage scalable Power BI dataflows

Module 5: Design and build tabular models

In this module you'll learn how to:
  • Create Power BI model relationships
  • Understand DAX concepts
  • Create calculation groups
  • Enforce Power BI model security
  • Use tools to optimize Power BI performance

Module 6: Implement advanced data visualization techniques by using Power BI

In this module you'll learn how to:
  • Understand advanced data visualization concepts
  • Monitor data in real-time with Power BI

Module 7: Implement and manage an analytics environment

In this module you'll learn how to:
  • Provide governance in a Power BI environment
  • Facilitate collaboration and sharing in Power BI
  • Monitor and audit usage
  • Provision Premium capacity in Power BI
  • Establish a data access infrastructure in Power BI
  • Broaden the reach of Power BI
  • Automate Power BI administration

Module 8: Manage the analytics development lifecycle

In this module you'll learn how to:
  • Design a Power BI application lifecycle management strategy
  • Create and manage a Power BI deployment pipeline
  • Create and manage Power BI assets

Fees And Schedule

Instructor-Led Training

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

Learning Objectives

After completing the course, students will be able to:
  • Query and transform data.
  • Implement and manage data models.
  • Explore and visualize data.
  • Implement and manage a data analytics environment.

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