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

MS-DP500T00

Type

Virtual

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Classroom ILT

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Skill Level

Microsoft Techs: Intermediate

Available dates

January 23, 2024
March 25, 2024
May 21, 2024

Learning Path

Application Development
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Virtual

Duration

4 Days
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1 Day

TYPE

Virtual

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Classroom ILT

Lecturer teaching class icon

LEARNING PATH

Application Development
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SKILL LEVEL

Microsoft Techs: Intermediate

DURATION

4 Days
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AVAILABLE DATES

January 23, 2024
March 25, 2024
May 21, 2024

Choose date

From: R9 700,00

Price excluding VAT

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.

 

Audience profile:

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.

Job role: Data Analyst

 

Pre-requisites:

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. 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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