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 Azure Purview, Azure Synapse Analytics, and Power BI to build analytics solutions.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

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

1

  • 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

2

  • 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 artifacts by using Microsoft Purview

3

  • 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

    Analyze data with Apache Spark in Azure Synapse Analytics

    Analyze data in a relational data warehouse

4

  • MODULE 4: PREPARE DATA FOR TABULAR MODELS IN POWER BI

  • Choose a Power BI model framework

    Understand scalability in Power BI

    Optimize Power Query for scalable solutions

    Create and manage scalable Power BI dataflows

5

  • MODULE 5: DESIGN AND BUILD SCALABLE TABULAR MODELS

  • Create Power BI model relationships

    Enforce model security

    Implement DirectQuery

    Create calculation groups

    Use tools to optimize Power BI performance

6

  • MODULE 6: IMPLEMENT ADVANCED DATA VISUALIZATION TECHNIQUES BY USING POWER BI

  • Understand advanced data visualization concepts

    Customize core data models

    Monitor data in real-time with Power BI

    Create and distribute paginated reports in Power BI report builder

7

  • MODULE 7: 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

    Build reports using Power BI within Azure Synapse Analytics

8

  • MODULE 8: 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

Audience

Candidates for this course should have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions. Specifically, candidates should have advanced Power BI skills, including managing data repositories and data processing in the cloud and on-premises, along with using Power Query and Data Analysis Expressions (DAX). They should also be proficient in consuming data from Azure Synapse Analytics and should have experience querying relational databases, analyzing data by using Transact-SQL (T-SQL), and visualizing data.

Language

English

Prerequisites

Before attending this course, it is recommended that students have: A foundational knowledge of core data concepts and how they’re implemented using Azure data services. This knowledge can be gained through Course DP-900T00. 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. This knowledge can be gained through course PL-300T00. This course prepares you to take the DP-500 Certification Exam in order to earn the Microsoft Certified: Azure Enterprise Data Analyst Associate certification.

$2,495

Length: 4.0 days (32 hours)

Level:

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05
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