674 courses available
Microsoft
Implement information protection and data loss prevention with Microsoft Purview
Data ScienceUnits in this learning path:
• Introduction
• Configure Environment
• Create Sensitive Info Type
• Create Sensitivity Label
• Create Data Loss Prevention Policy
• Summary
Products: M365, Microsoft Purview
Roles: Administrator, Auditor
Level: Intermediate
Subjects: Data Management, Threat Protection
Duration: 64 minutes
Microsoft
Implement integrated cache in Azure Cosmos DB for NoSQL
Data ScienceUnits in this learning path:
• Introduction
• Review Workloads That Benefit from Cache
• Enable Integrated Cache
• Configure Cache Staleness
• Knowledge Check
• Summary
Products: Azure Cosmos Db
Roles: Developer
Level: Intermediate
Subjects: Databases
Duration: 24 minutes
Microsoft
Implement operational databases in Microsoft Fabric
Data ScienceModules in this learning path:
• Get Started SQL Database Microsoft Fabric
• Get Started with Graphql Microsoft Fabric
• Use Data Factory Pipelines Fabric
Products: Azure SQL Database, Fabric
Roles: Developer, Data Engineer, Solution Architect
Level: Intermediate
Subjects: Databases, App Development, Artificial Intelligence
Duration: 213 minutes
Microsoft
Implement retention, eDiscovery, and Communication compliance in Microsoft Purview
Data ScienceUnits in this learning path:
• Introduction
• Create Retention Policy
• Create Retention Label
• Search Ediscovery
• Create Communication Compliance Policy
• Summary
Products: M365, Microsoft Purview
Roles: Administrator, Auditor
Level: Intermediate
Subjects: Data Management, Threat Protection
Duration: 64 minutes
Microsoft
Implement the Data management package API for finance and operations apps
Data ScienceUnits in this learning path:
• 1 Introduction
• 2 API
• 3 Status
• 4 Entity
• 5 Wrapper Class
• Wrapper Class C Sharp
• 6 Check
• 7 Summary
Products: Dynamics 365, Dynamics Finance, Dynamics Scm
Roles: Developer
Level: Advanced
Subjects: Data Management, Custom App Development
Duration: 51 minutes
Microsoft
Implement the data process model in Dynamics 365 Business Central
Data ScienceUnits in this learning path:
• 1 Introduction
• 2 Standard Data Model
• 3 Typical Data Triggers
• 4 Standard Data Flow
• 5 Check
• 6 Summary
Products: Dynamics 365, Dynamics Business Central
Roles: Developer
Level: Intermediate
Subjects: Data Modeling, Process Workflow
Duration: 37 minutes
Microsoft
Implement vCore-based Azure Cosmos DB for MongoDB
Data ScienceUnits in this learning path:
• Introduction
• Explore Features
• Create Cluster
• Exercise Deploy Cluster
• Knowledge Check
• Summary
Products: Azure Cosmos Db
Roles: Developer
Level: Intermediate
Subjects: Databases
Duration: 33 minutes
Microsoft
Implementation recommendations for Microsoft Power Platform environments
Data ScienceUnits in this learning path:
• 1 Introduction
• 2 Prerequisites
• 3 Default
• 4 Implement
• 5 Customer Experience
• 6 Directional Data
• 8 Http
• 9 Exercise
• 10 Check
• 11 Summary
Products: Power Automate, Power Platform, Power Apps
Roles: Administrator, Functional Consultant
Level: Intermediate
Subjects: Data Management
Duration: 54 minutes
Microsoft
Import and export solutions with cloud flows
Data ScienceUnits in this learning path:
• Introduction
• Connection References
• Environment Variable Basics
• Transport Solutions
• Exercise
• Check
• Summary
Products: Power Platform, Power Automate, Dataverse
Roles: Maker, Functional Consultant
Level: Beginner
Subjects: Data Management
Duration: 48 minutes
Microsoft
Ingest Data with Dataflows Gen2 in Microsoft Fabric
Data ScienceUnits in this learning path:
• Introduction
• Dataflows Gen 2
• Explore Dataflows Gen 2
• Dataflow Pipeline
• Exercise
• Knowledge Check
• Summary
Products: Fabric
Roles: Data Analyst, Data Engineer
Level: Intermediate
Subjects: Data Analytics, Data Engineering, Data Integration
Duration: 60 minutes
Microsoft
Ingest data into Customer Insights - Data
Data ScienceUnits in this learning path:
• 1 Introduction
• 2 Power Query
• 2b Clean Transform Load Data
• 3 Common Data Model
• 4 Dataverse
• 5 Work with Data
• 6 Refresh
• 8 Check
• 9 Summary
Products: Dynamics 365, Customer Insights Data
Roles: Functional Consultant, Business User, Administrator
Level: Intermediate
Subjects: Data Analytics, Customer Relationship Management
Duration: 45 minutes
Microsoft
Ingest data with Microsoft Fabric
Data ScienceModules in this learning path:
• Ingest Dataflows Gen2 Fabric
• Use Data Factory Pipelines Fabric
• Use Apache Spark Work Files Lakehouse
• Query Data Kql Database Microsoft Fabric
Products: Fabric
Roles: Data Analyst, Data Engineer, Data Scientist
Level: Intermediate
Subjects: Big Data, Data Analytics, Data Engineering, Data Integration, Data Management
Duration: 289 minutes
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