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

Price
$2,380.00
Duration
 4 Days
Delivery Methods
 VILT    Private Group
Eligible UT Programs: Learning Credits, Coupons, Technical Training Pass, Training Passport

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.

 

Upcoming Class Dates and Times

Jan 23  - Jan 26, 2023
8:00AM - 4:00PM Central
4 Days
Virtual Instructor Led
 GTR
Apr 03  - Apr 06, 2023
8:00AM - 4:00PM Central
4 Days
Virtual Instructor Led
 GTR
Jun 05  - Jun 08, 2023
8:00AM - 4:00PM Central
4 Days
Virtual Instructor Led
 GTR

Who Should Attend

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.

Course Objectives

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

Agenda

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

Prerequisites

A foundational knowledge of core data concepts and how they’re implemented using Azure 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.
 

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