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DP-500T00: Design & Implement Enterprise-Scale Analytics Solutions

By Ginger Grant
4 Days
Live Class Recording
August 28, 2023
Courseware

Courseware is available for this class. Click here to view in a new tab/window.

Course Description

This course covers methods and practices for performing advanced data analytics at scale. Students will build on existing analytics experience and will learn to implement and manage a data analytics environment, query and transform data, implement and manage data models, and explore and visualize data. In this course, students will use Microsoft Purview, Azure Synapse Analytics, and Power BI to build analytics solutions.

Course Outline

Module 1: Introduction to data analytics on Azure

Explore Azure data services, concepts of data analytics, and what you need to implement modern analytics at scale. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.

Lessons

  • Explore Azure data services for modern analytics
  • Understand concepts of data analytics

Module 2: Govern data across an enterprise

Use Microsoft Purview to register and scan data, catalog data artifacts, find data for reporting, and manage Power BI artifacts to improve data governance in your organization. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.

Lessons

  • 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
  • Integrate Microsoft Purview and Azure Synapse Analytics

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

Query and explore data in Azure Synapse Analytics. You'll learn how to query and visualize data in a data lake and a data warehouse. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.

Lessons

  • Introduction to Azure Synapse Analytics
  • Use Azure Synapse serverless SQL pool to query files in a data lakelab setup)
  • 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

Designing reports for enterprise scale requires more than just connecting to data. Understanding Power BI model frameworks and strategies for scalability and optimization are key to a successful enterprise implementation. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.

Lessons

  • 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

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.

Lessons

  • Create Power BI model relationships
  • Understand DAX concepts
  • Create calculation groups
  • Enforce Power BI model security
  • Optimize Power BI performance
  • Composite Modeling

Module 6: Implement advanced data visualization techniques using Power BI

This learning path takes analysts through visualizing data in Power BI. You'll learn about visuals in Power BI reports, using Power BI to visualize real-time data, and visualizing data in paginated reports. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.

Lessons

  • Create and Manage Aggregations
  • Understand advanced data visualization concepts
  • Monitor data in real-time with Power BI
  • Create paginated reports

Module 7: Implement and manage an analytics environment

This learning path introduces Power BI administration at an enterprise-level, including governance, adoption, collaborating, sharing, and automation methods. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.

Lessons

  • Design a Power BI application lifecycle management strategy
  • Create and manage a Power BI deployment pipeline
  • Create and manage Power BI assets

Module 8: 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.

Lessons

  • 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
Course Content
Introduction
Introduction
Module 1 Introduction to data analytics on Azure
Explore Azure data services for modern analytics
Understand concepts of data analytics
Explore data analytics at scale
Module 2 Govern data across an enterprise
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
Integrate Microsoft Purview and Azure Synapse Analytics
Module 3 Model, query, and explore data in Azure Synapse
Introduction to Azure Synapse Analytics
Use Azure Synapse serverless SQL pool to query files in a data lake Continuation after lab setup)
Use Azure Synapse serverless SQL pool to query files in a data lake (Continuation after lab)
Analyze data with Apache Spark in Azure Synapse Analytics
Analyze data with Apache Spark in Azure Synapse Analytics (Continuation after lab)
Analyze data in a relational data warehouse
Analyze data in a relational data warehouse (Continuation after lab)
Module 4 Prepare data for tabular models in Power BI
Choose a Power BI model framework
Understand scalability in Power BI
Create and manage scalable Power BI dataflows
Create and manage scalable Power BI dataflows (Continuation after lab)
Module 5 Design and build tabular models
Create Power BI model relationships
Create Power BI model relationships (Continuation after lab)
Understand DAX concepts
Create calculation groups
Create calculation groups (Continuation after lab)
Enforce Power BI model security
Enforce Power BI model security (Continuation after lab)
Optimize Power BI performance
Optimize Power BI performance (Continuation after lab)
Composite Modeling
Module 6 Implement advanced data visualization techniques using Power BI
Create and Manage Aggregations
Understand advanced data visualization concepts
Monitor data in real-time with Power BI
Create paginated reports
Create paginated reports (Continuation after lab)
Module 7 Manage the analytics development lifecycle
Design a Power BI application lifecycle management strategy
Create and manage a Power BI deployment pipeline
Create and manage Power BI assets
Create and manage Power BI assets (Continuation after lab)
Module 8 Implement and manage an analytics environment
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