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Microsoft

Explore fundamental relational data concepts

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This content is a part of Explore fundamental relational data concepts.

Units in this learning path:

• Introduction
• Relational Data
• Understand Normalization
• Explore SQL
• Describe Database Objects
• Knowledge Check
• Summary

Products: Azure

Roles: Data Analyst, Data Engineer, Database Administrator, Developer, Student

Level: Beginner

Subjects: Data Analytics

Duration: 44 minutes

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Microsoft

Explore fundamentals of Azure Cosmos DB

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Explore the features and capabilities of Azure Cosmos DB, Identify supported AIs, and interact with a Cosmos DB database.

Units in this learning path:

• Introduction
• Azure Cosmos Db
• Azure Cosmos Db Apis
• Exercise Azure Cosmos Db
• Knowledge Check
• Summary

Products: Azure

Roles: Data Analyst, Data Engineer, Database Administrator, Developer, Student

Level: Beginner

Subjects: Databases

Duration: 38 minutes

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Microsoft

Explore fundamentals of data visualization

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Learn the fundamental principles of analytical data modeling and data visualization, using Microsoft Power BI as a platform to explore these principles in action.

Units in this learning path:

• Introduction
• Describe Power Bi Tools Workflow
• Describe Core Concepts Modeling
• Describe Considerations for
• Exercise Visualize Data Power Bi
• Knowledge Check
• Summary

Products: Azure, Power Bi

Roles: Administrator, Business User, Data Engineer, Database Administrator

Level: Beginner

Subjects: Data Visualization

Duration: 38 minutes

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Microsoft

Explore fundamentals of large-scale analytics

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Organizations use analytics platforms to build large scale data analytics solutions that generate insights and drive success. Microsoft provides multiple technologies that you can combine to build a large scale data analytics solution.

Units in this learning path:

• Introduction
• Describe Warehousing
• Explore Ingestion Pipelines
• Analytical Stores
• Exercise Data Analytics Fabric
• Exercise Explore Azure Data Services Azure Portal
• Summary

Products: Azure

Roles: Data Engineer, Solution Architect, Student

Level: Beginner

Subjects: Data Storage

Duration: 51 minutes

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Microsoft

Explore fundamentals of real-time analytics

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Learn about the basics of stream processing, and the services in Microsoft Azure that you can use to implement real-time analytics solutions.

Units in this learning path:

• Introduction
• Understand Batch
• Explore Common Elements Architecture
• Explore Fabric Rti
• Explore Apache Spark Microsoft Azure
• Exercise Real Time Intelligence
• Knowledge Check
• Summary

Products: Azure

Roles: Administrator, Business User, Data Engineer

Level: Beginner

Subjects: Data Analytics

Duration: 38 minutes

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Microsoft

Explore query performance optimization

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Explore query performance optimization

Units in this learning path:

• Introduction
• Understand Query Plans
• Explain Estimated Actual
• Describe Dynamic Management Views and Functions
• Explore Query Store
• Identify Problematic
• Describe Blocking Locking
• Exercise Identify Resolve Blocking Issues
• Knowledge Check
• Summary

Products: Azure SQL Database, SQL Server

Roles: Database Administrator

Level: Intermediate

Subjects: Databases

Duration: 103 minutes

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Microsoft

Explore relational database services in Azure

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This content is a part of Explore relational database services in Azure.

Units in this learning path:

• Introduction
• Describe Azure SQL
• Azure Open Source Databases
• Exercise Provision Relational Azure Data Services
• Knowledge Check
• Summary

Products: Azure

Roles: Data Analyst, Data Engineer, Database Administrator, Student

Level: Beginner

Subjects: Databases

Duration: 43 minutes

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Microsoft

Explore reporting tools in finance and operations apps

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A report is a structured presentation of data. Reporting presents data in a way that lets you make informed decisions by using data visualizations, dashboards, financial reporting, and structured documents. finance and operations apps provide several reporting tools that you can use to meet different reporting needs. This module will help you become familiar with the various reporting options that are available with finance and operations apps.

Units in this learning path:

• 01 Overview
• 02 Data Sources Support Classes
• 03 Implement Security Reqs
• 04 Publish Report
• 05 Lab
• 06 Check
• 07 Summary

Products: Dynamics 365, Dynamics Finance, Dynamics Scm

Roles: Developer

Level: Intermediate

Subjects: Data Analytics

Duration: 69 minutes

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Microsoft

Explore security practices for Azure SQL Database

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Learn how security works in Azure SQL Database, the key concepts, and practical examples to help developers effectively utilize Azure SQL Database in their cloud-based applications.

Units in this learning path:

• Introduction
• Explore Authentication Methods
• Configure Managed Identity
• Understand Firewall Rules
• Explore Advanced Data Security
• Exercise Managed Identity
• Knowledge Check
• Summary

Products: Azure SQL Database, Azure

Roles: Developer, Solution Architect

Level: Intermediate

Subjects: Databases, Cloud Computing

Duration: 71 minutes

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Microsoft

Export data from Dataverse and use Microsoft Excel to edit records

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Discover how to export and edit Microsoft Dataverse table data using Excel files, while understanding security concepts.

Units in this learning path:

• Introduction
• Export Data
• Exercise Create
• Edit Update
• Exercise Edit
• Check
• Summary

Products: Power Apps

Roles: Maker, Functional Consultant

Level: Beginner

Subjects: Data Management

Duration: 28 minutes

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Microsoft

Extend existing table and page objects in Dynamics 365 Business Central

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Do you want to know how to modify existing tables and pages for Microsoft Dynamics 365 Business Central? In this module, you'll learn ways to create and customize table and page objects.

Units in this learning path:

• 1 Introduction
• 2 Customer Table
• 3 Customer Card
• 4 Customer List
• 5 Exercise
• 6 Exercise
• 7 Exercise
• 8 Check
• 9 Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Developer

Level: Beginner

Subjects: Data Modeling

Duration: 42 minutes

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Microsoft

Extract event log data for process mining

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Learn how to extract event log data for process mining.

Units in this learning path:

• Introduction
• Extract Event Log Data
• Identify Data Source
• Validate Data
• Exercise Inspect
• Consolidate Clean Up
• Exercise Consolidate
• Check
• Summary

Products: Power Automate

Roles: Functional Consultant, Developer

Level: Beginner

Subjects: Data Management

Duration: 59 minutes

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