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Tables in a Microsoft Fabric lakehouse are based on the Delta Lake technology commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions.

Units in this learning path:

• Introduction
• Understand Delta Lake
• Create Delta Tables
• Optimize Delta Tables
• Work Delta Data
• Use Delta Lake Streaming Data
• Exercise Delta Tables
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering

Duration: 68 minutes

Work with MySQL Databases on Azure

Modules in this learning path:

• Explore Mysql Architecture
• Understand Client Server Communication Mysql
• Understand Mysql Storage Engine
• Secure Mysql
• Understand Concurrency Mysql

Products: Azure Database Mysql

Roles: Database Administrator

Level: Intermediate

Subjects: Databases

Duration: 177 minutes

Learn about the master data that is important when you work with Trade in Business Central. This module also provides an overview of items, customers, and vendors.

Units in this learning path:

• 1 Items
• 1a Measure
• 2 Characteristics
• Use Copilot Create AI Powered Marketing Texts
• 2a Item Categories
• 3 Customers
• 3a Merge Customers
• 4 Vendors
• 4 1 Merge Vendors
• 4a Resources
• 4b Salespeople
• 4c Use Templates
• 5 Exercise
• 6 Check
• 7 Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Functional Consultant, Business User

Level: Intermediate

Subjects: Data Management

Duration: 122 minutes

Empower business users to make important decisions by using analytics and reporting in finance and operations apps.

Units in this learning path:

• 1 Analytics Reporting Introduction
• 2 Different Types Reports Inquiries
• 3 Financial Reporting
• 4 Find Inquiries Reports
• 4 1 Generate Consume Inquiries Reports
• 5 Power Platform
• 6 Exercise Generate Explore Financial Report
• 12 Analytics Reporting Quiz
• 13 Analytics Reporting Summary

Products: Dynamics 365, Dynamics Finance, Dynamics Scm

Roles: Business User, Functional Consultant, Solution Architect

Level: Intermediate

Subjects: Data Analytics

Duration: 68 minutes

Set up recurring integrations to enable exchange of documents between finance and operations and other apps.

Units in this learning path:

• 1 Introduction
• 2 Data Project
• 6 Exercise
• 3 Authorize
• Monitor Status Entities
• Develop Data Transformation
• 4 Cds
• Dataverse Virtual Entities
• 5 Composite
• 5 2 Azure Data Lake Entity Store
• Connect Azure Data Lake
• Change Data Azure Data Lake
• 5 3 Power Platform Convergence
• 7 Check
• 8 Summary

Products: Dynamics 365, Dynamics Finance, Dynamics Scm

Roles: Developer, Solution Architect

Level: Advanced

Subjects: Data Management

Duration: 140 minutes

Work with data in Microsoft Sentinel using Kusto Query Language

Units in this learning path:

• Introduction
• Extract Data from Unstructured String Fields
• Extract Data from Structured String Data
• Integrate External Data
• Create Parsers with Functions
• Knowledge Check
• Summary Resources

Products: Microsoft Sentinel, Azure Log Analytics, Azure

Roles: Security Operations Analyst

Level: Intermediate

Subjects: Data Analytics

Duration: 36 minutes

You can export or import data in finance and operations apps by using the Data management workspace. Validate the data by staging the source data, and then move it to the target tables in the finance and operations apps database.

Units in this learning path:

• 1 Work Data Management Introduction
• 2 Data Management Concepts
• 3 Data Entities Data Management Integration
• 4 Data Management Workspace
• 5 Standard Enhanced Views Tiles
• 6 Templates Data Management
• 7 Export Import Copy Data
• 8 Exercise Explore Data Management Workspace
• 9 Exercise Export Import Data
• Database Movement Operations
• Data Sharing Framework
• 10 Work Data Management Quiz
• 11 Work Data Management Summary

Products: Dynamics 365, Dynamics Finance, Dynamics Scm

Roles: Functional Consultant, Solution Architect, Developer

Level: Intermediate

Subjects: Data Management

Duration: 103 minutes

Do you need to connect an app to access data? Then this module is for you. It focuses on connecting your app to a data source.

Units in this learning path:

• Introduction
• 1 Data Source Overview
• 2 Add Data Source
• 2b Add Office Users
• 3 Display and Interact with Data in Gallery
• 4 Move Data Using Collect
• 4 5 Exercise
• 5 Knowledge Check
• 6 Summary

Products: Power Platform, Power Apps

Roles: Business User, Maker, Functional Consultant

Level: Intermediate

Subjects: Data Management, Custom App Development

Duration: 64 minutes

Explore the data architecture of FHIR and its API implementation in Azure Health Data Services for Microsoft for Healthcare and learn about RESTful API framework.

Units in this learning path:

• Introduction
• Concepts Data Model
• Technical Architecture
• Implementation Guides
• Development
• Resources
• Hierarchy Elements Structure
• Check
• Summary

Products: Mscloud Healthcare, Industry Solutions

Roles: Business User, Functional Consultant

Level: Intermediate

Subjects: Data Modeling, Business Applications

Duration: 43 minutes

Learn to enter or import master data into Dynamics 365 Business Central, including creating tables, implementing design patterns, and formatting fields.

Units in this learning path:

• 1 Introduction
• 2 Setup Table Signature Design
• 3 Master Table Page Standards
• 4 Implement Series Pattern
• 5 Use Blocked Field
• 6 Frequently Used Table Properties
• 6a Exercise
• 7 Check
• 8 Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Developer

Level: Intermediate

Subjects: Data Management, Data Engineering

Duration: 61 minutes

Learn about medical imaging data and DICOM® (Digital Imaging and Communications in Medicine) in Microsoft Cloud for Healthcare.

Units in this learning path:

• Introduction
• Dicom Service
• Integration with Fabric
• Dicom Open Source Projects
• Service Radiology
• Check
• Summary

Products: Mscloud Healthcare, Industry Solutions

Roles: Business User, Functional Consultant

Level: Intermediate

Subjects: Data Modeling, Business Applications

Duration: 33 minutes

Learn how to work with the Query object in Dynamics 365 Business Central to join, filter, and aggregate data.

Units in this learning path:

• 1 Introduction
• 2 Get Started
• 3 Create
• 4 Join Data
• 5 Filter Data
• 6 Aggregate Data
• 7 Al Function
• 8 Advanced Concepts
• Optimize Performance
• 9 Check
• 10 Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Developer

Level: Intermediate

Subjects: Data Analytics

Duration: 79 minutes