DP-500T00: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI

Introduction:

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.

Objectives:

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

Course Outline:

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 – 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 – 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 – 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 – 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 – 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 – 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 – 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

9 – Integrate an analytics platform into an existing IT infrastructure

Recommend and configure a Power BI tenant or workspace
Identify requirements for a solution, including features, performance, and licensing strategy
Integrate an existing Power BI workspace into Azure Synapse Analytics

Enroll in this course

$2,380.00

Select a start date for your 4 Days course

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