Microsoft Azure Enterprise Data Analyst (DP-500T00)

 

Course Overview

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.

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.

Prerequisites

Before attending this course, it is recommended that students have:

Course Objectives

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

Course Content

  • Introduction to data analytics on Azure
  • Govern data across an enterprise
  • Model, query, and explore data in Azure Synapse
  • Prepare data for tabular models in Power BI
  • Design and build scalable tabular models
  • Optimize enterprise-scale tabular models
  • Implement advanced data visualization techniques by using Power BI
  • Implement and manage an analytics environment
  • Manage the analytics development lifecycle
  • Integrate an analytics platform into an existing IT infrastructure

Prices & Delivery methods

Online Training

Duration
4 days

Price
  • on request
Classroom Training

Duration
4 days

Price
  • on request

Click on town name or "Online Training" to book Schedule

Europe

France

Online Training Time zone: Central European Summer Time (CEST) Course language: French
Paris
Paris
Paris

Netherlands

Utrecht
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.