665 courses available
Microsoft
Reduce complexity in your data model with Dataverse table relationships
Data ScienceUnits in this learning path:
• 1 Introduction
• 2 One to Many Relationships
• 3 Many to Many Relationships
• 4 Exercise
• 5 Check
• 6 Summary
Products: Power Platform, Power Apps, Dataverse
Roles: Maker
Level: Intermediate
Subjects: Data Modeling
Duration: 44 minutes
Microsoft
Replicate and monitor an Azure Cosmos DB for MongoDB account
Data ScienceUnits in this learning path:
• Introduction
• Replication
• Consistency Levels
• Monitoring Using Diagnostic Logs
• Troubleshoot Query Performance
• Exercise Monitoring
• Knowledge Check
• Summary
Products: Azure Cosmos Db
Roles: Developer
Level: Intermediate
Subjects: Databases
Duration: 88 minutes
Salesforce
Reports & Dashboards for Lightning Experience
Data ScienceMicrosoft
Review Customer Voice survey reports
Data ScienceUnits in this learning path:
• 1 Introduction
• 2 Analyze Survey Results
• 3 Filter Survey Results
• 4 Export Survey Results
• 5 Exercise
• 6 Check
• 7 Summary
Products: Dynamics 365, Dynamics Sales, Customer Voice
Roles: Business User, Functional Consultant
Level: Intermediate
Subjects: Data Analytics
Duration: 43 minutes
Microsoft
Route system feedback to development teams
Data ScienceUnits in this learning path:
• 1 Introduction
• 2 Continuously Monitor
• 3 Monitoring Status Dashboards
• 4 Knowledge Check
• 5 Summary
Products: Azure Devops
Roles: Devops Engineer, Administrator, Developer, Solution Architect
Level: Intermediate
Subjects: Data Storage
Duration: 22 minutes
Microsoft
Run Azure Databricks Notebooks with Azure Data Factory
Data ScienceUnits in this learning path:
• Introduction
• Understand Pipelines
• Create Linked Service for
• Use Notebook Activity Pipeline
• Use Parameters Notebook
• Exercise Run Azure Databricks Notebook
• Knowledge Check
• Summary
Products: Azure Data Factory, Azure Databricks
Roles: Data Engineer
Level: Intermediate
Subjects: Data Engineering
Duration: 61 minutes
Microsoft
Run Petabyte level OSS NoSQL databases with HDInsight HBase
Data ScienceUnits in this learning path:
• Introduction
• Describe Apache Hbase
• Explain Clusters Architecture Application Patterns
• Improve Write Read Performance of Hbase Clusters
• Determine Migration High Availability Strategies
• Use Apache Phoenix on
• Determine Cluster Performance
• Perform Benchmarking Hbase
• Knowledge Check
• Summary
Products: Azure Hdinsight
Roles: Data Engineer, Data Scientist
Level: Beginner
Subjects: Data Management
Duration: 30 minutes
Amazon Web Services
Running High Performance Applications with Amazon FSx
Data ScienceAmazon Web Services
SaaS Technical Fundamentals
Data ScienceMicrosoft
Scope report design requirements
Data ScienceUnits in this learning path:
• 1 Introduction
• 2 Identify
• 3 Determine
• 4 Define Interface
• 5 Define Experience
• 6 Explore Designs
• 7 Check
• 8 Summary
Products: Power Platform, Power Bi
Roles: Business User, Business Analyst, Data Analyst
Level: Intermediate
Subjects: Data Visualization
Duration: 29 minutes
Microsoft
Search, filter, sort, and select data in Business Central
Data ScienceUnits in this learning path:
• 1 Sort
• 2 Search
• 3 Filter
• Data Analysis
• 3a Inspect Pages
• 4 Exercise
• 5 Check
• 6 Summary
Products: Dynamics 365, Dynamics Business Central
Roles: Business User, Functional Consultant
Level: Beginner
Subjects: Data Management
Duration: 43 minutes
Microsoft
Secure Azure Database for PostgreSQL
Data ScienceUnits in this learning path:
• Introduction
• Describe Security
• Describe Built Server Roles
• Grant Permissions
• Understand Encryption
• Exercise Configure Permissions
• Knowledge Check
• Summary
Products: Azure Database Postgresql
Roles: Database Administrator
Level: Intermediate
Subjects: Databases
Duration: 45 minutes
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