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This Playlist is an unordered collection of supplemental labs that have relevance to the classroom training Planning and Designing Databases on AWS. Students of that class may find the labs in this playlist to be useful hands-on practice.

This course provides students with a comprehensive understanding of the key concepts and considerations involved in planning large scale data migrations to Amazon Web Services (AWS). The topics include reasons for migrating data to AWS, reviewing…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. This course…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

Prepare your semantic layer for AI by adding metadata and linguistic context to gold-layer data stores and semantic models, then generate ontologies that AI agents use to answer business questions.

Modules in this learning path:

• Fabric Prepare Semantic Layer
• Understand Fabric Iq Fundamentals
• Create Ontology with Fabric Iq

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Modeling

Duration: 259 minutes

Master the essential skills to build robust, scalable data engineering solutions with Azure Databricks and Unity Catalog. Learn to design effective data models, ingest data from diverse sources, transform raw data into analytics-ready formats, and ensure data quality across your lakehouse architecture.

Modules in this learning path:

• Design Implement Data Modeling Unity Catalog
• Ingest Data Into Unity Catalog
• Cleanse Transform Load Data Into Unity Catalog
• Implement Manage Data Quality Constraints Unity Catalog

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 423 minutes

Power BI allows you to easily connect to and present your data in an interactive report, so you can make data-driven decisions. Learn how to connect to data, transform and shape data, and create interactive visuals in a Power BI report. (DP-605T00)

Modules in this learning path:

• Get Started with Power Bi
• Get Data
• Clean Data Power Bi
• Configure Semantic Model Power Bi
• Power Bi Effective Reports
• Power Bi Copilot
• Introduction End Analytics Use Microsoft Fabric

Products: Fabric, Power Bi

Roles: Data Analyst

Level: Beginner

Subjects: Data Analytics, Data Visualization

Duration: 492 minutes