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

Type
Virtual
Classroom ILT
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Available dates
Learning Path
Virtual
Duration
1 Day

TYPE
Virtual
Classroom ILT
LEARNING PATH
SKILL LEVEL

DURATION
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From: R9 700,00
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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.
Course Objectives
- Implement and manage a data analytics environment
- Query and transform data
- Implement and manage data models
- Explore and visualize data
Module 1: Introduction to data analytics on Azure |
This module explores key concepts of data analytics, including types of analytics, data, and storage. Students will explore the analytics process and tools used to discover insights and learn about the responsibilities of an enterprise data analyst and what tools are available to build scalable solutions.
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After completing this module, students will be able to: |
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Module 2: Govern data across an enterprise |
This module explores the role of an enterprise data analyst in organizational data governance. Students will explore the use of Microsoft Purview to register and catalog data assets, to discover trusted assets for reporting, and to scan a Power BI environment.
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After completing this module, students will be able to |
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Module 3: Model, query, and explore data in Azure Synapse |
This module explores the use of Azure Synapse Analytics for exploratory data analysis. Students will explore the capabilities of Azure Synapse Analytics including the basics of data warehouse design, querying data using T-SQL, and exploring data using Spark notebooks.
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Lab: Query data in Azure
Lab: Explore data in Spark notebooks Lab: Create a star schema model |
After completing this module, you will be able to: |
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Module 4: Prepare data for tabular models in Power BI |
This module explores the fundamental elements of preparing data for scalable analytics solutions using Power BI. Students will explore model frameworks, considerations for building data models that will scale, Power Query optimization techniques, and the implementation of Power BI dataflows.
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Lab: Create a dataflow |
After completing this module, students will be able to: |
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Module 5: Design and build scalable tabular models |
This module explores the critical underlying aspects of tabular modeling for building Power BI models that can scale. Students will learn about model relationships and model security, working with direct query, and using calculation groups.
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Lab: Create model relationships
Lab: Enforce model security Lab: Design and build tabular models Lab: Create calculation groups |
After completing this module, students will be able to: |
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Module 6: Optimize enterprise-scale tabular models |
This module covers key aspects of performance optimization using large-format data. Students will explore optimization using Synapse, Power BI, and external tools.
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Lab: Use tools to optimize Power BI performance
Lab: Improve query performance using aggregations Lab: Improve query performance with dual storage mode Lab: Improve performance with hybrid tables |
After completing this module, students will be able to: |
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Module 7: Implement advanced data visualization techniques by using Power BI |
This module explores data visualization concepts including accessibility, customization of core data models, real-time data visualization, and paginated reporting.
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Lab: Monitor data in real-time with Power BI
Lab: Create and distribute paginated reports in Power BI Report Builder |
After completing this module, students will be able to: |
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Module 8: Implement and manage an analytics environment |
This module explores key considerations for implementing and managing Power BI. Students will understand key recommendations for administration and monitoring of Power BI, including configuration and management of Power BI capacity.
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After completing this module, students will be able to: |
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Module 9: Manage the analytics development lifecycle |
This module explores considerations for deployment, source control, and application lifecycle management of analytics solutions. Students will understand what to recommend and will be able to deploy and manage automated and reusable Power BI assets.
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Lab: Create reusable Power BI assets |
After completing this module, students will be able to: |
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Module 10: Integrate an analytics platform into an existing IT infrastructure |
This module explores the integration of a Power BI analytics solution into existing Azure infrastructure. Students will understand Power BI tenant and workspace configurations, along with considerations for Power BI deployment in an organization.
Lessons: |
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After completing this module, students will be able to: |
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Torque IT specializes in providing our Clients with Vendor authorized instructor-led training, enablement IT courses, and certification solutions.
Associated certifications and exam:
This course prepares students to write Exam DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI
On successful completion of this course students will receive a Torque IT attendance certificate.

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