DP-900T00 Microsoft Azure Data Fundamentals

Jump to dates

Duration

1 Days

This course is intended for

The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.

Overview

After completing this course, students will be able to:
Describe core data concepts
Identify considerations for relational data on Azure
Describe considerations for working with non-relational data on Azure
Describe an analytics workload on Azure

Description

In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about modern data warehousing, real-time analytics, and data visualization.
This course may earn a Credly Badge.

Module 1: Explore core data concepts
  • Core data concepts
  • Data roles and Services
  • Identify how data is defined and stored
  • Identify characteristics of relational and non-relational data
  • Describe and differentiate data workloads
  • Describe and differentiate batch and streaming data
  • Identify common data professional roles
  • Identify common cloud services used by data professionals
Module 2: Explore fundamentals of relational data in Azure
  • Explore relational data offerings in Azure
  • Explore Azure services for relational data
  • Identify characteristics of relational data
  • Define normalization
  • Identify types of SQL statement
  • Identify common relational database objects
  • Identify options for Azure SQL services
  • Identify options for open-source databases in Azure
Module 3: Explore fundamentals of non-relational data in Azure
  • Fundamentals of Azure Storage
  • Fundamentals of Azure Cosmos DB
  • Describe features and capabilities of Azure blob storage
  • Describe features and capabilities of Azure Data Lake Gen2
  • Describe features and capabilities of Azure file storage
  • Describe features and capabilities of Azure table storage
  • Describe key features and capabilities of Azure Cosmos DB
  • Identify the APIs supported in Azure Cosmos DB
Module 4: Explore fundamentals of data analytics
  • Modern data warehousing
  • Streaming and real-time analytics
  • Data visualization
  • Identify common elements of a modern data warehousing solution
  • Describe key features for data ingestion pipelines
  • Identify common types of analytical data store and related Azure services
  • Describe common elements of streaming data solutions
  • Describe features and capabilities of Azure Stream Analytics
  • Describe features and capabilities of Spark Structured Streaming on Azure
  • Describe features and capabilities of Azure Synapse Data Explorer
  • Describe a high-level process for creating reporting solutions with Microsoft Power BI
  • Describe core principles of analytical data modeling

DP-900T00 Microsoft Azure Data Fundamentals

Jump to dates

Duration

1 Days

This course is intended for

The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.

Overview

After completing this course, students will be able to:
Describe core data concepts
Identify considerations for relational data on Azure
Describe considerations for working with non-relational data on Azure
Describe an analytics workload on Azure

Description

In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about modern data warehousing, real-time analytics, and data visualization.
This course may earn a Credly Badge.

Module 1: Explore core data concepts
  • Core data concepts
  • Data roles and Services
  • Identify how data is defined and stored
  • Identify characteristics of relational and non-relational data
  • Describe and differentiate data workloads
  • Describe and differentiate batch and streaming data
  • Identify common data professional roles
  • Identify common cloud services used by data professionals
Module 2: Explore fundamentals of relational data in Azure
  • Explore relational data offerings in Azure
  • Explore Azure services for relational data
  • Identify characteristics of relational data
  • Define normalization
  • Identify types of SQL statement
  • Identify common relational database objects
  • Identify options for Azure SQL services
  • Identify options for open-source databases in Azure
Module 3: Explore fundamentals of non-relational data in Azure
  • Fundamentals of Azure Storage
  • Fundamentals of Azure Cosmos DB
  • Describe features and capabilities of Azure blob storage
  • Describe features and capabilities of Azure Data Lake Gen2
  • Describe features and capabilities of Azure file storage
  • Describe features and capabilities of Azure table storage
  • Describe key features and capabilities of Azure Cosmos DB
  • Identify the APIs supported in Azure Cosmos DB
Module 4: Explore fundamentals of data analytics
  • Modern data warehousing
  • Streaming and real-time analytics
  • Data visualization
  • Identify common elements of a modern data warehousing solution
  • Describe key features for data ingestion pipelines
  • Identify common types of analytical data store and related Azure services
  • Describe common elements of streaming data solutions
  • Describe features and capabilities of Azure Stream Analytics
  • Describe features and capabilities of Spark Structured Streaming on Azure
  • Describe features and capabilities of Azure Synapse Data Explorer
  • Describe a high-level process for creating reporting solutions with Microsoft Power BI
  • Describe core principles of analytical data modeling

DP-900T00 Microsoft Azure Data Fundamentals

Jump to dates

Duration

1 Days

This course is intended for

The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.

Overview

After completing this course, students will be able to:
Describe core data concepts
Identify considerations for relational data on Azure
Describe considerations for working with non-relational data on Azure
Describe an analytics workload on Azure

Description

In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about modern data warehousing, real-time analytics, and data visualization.This course may earn a Credly Badge.

Module 1: Explore core data concepts
  • Core data concepts
  • Data roles and Services
  • Identify how data is defined and stored
  • Identify characteristics of relational and non-relational data
  • Describe and differentiate data workloads
  • Describe and differentiate batch and streaming data
  • Identify common data professional roles
  • Identify common cloud services used by data professionals
Module 2: Explore fundamentals of relational data in Azure
  • Explore relational data offerings in Azure
  • Explore Azure services for relational data
  • Identify characteristics of relational data
  • Define normalization
  • Identify types of SQL statement
  • Identify common relational database objects
  • Identify options for Azure SQL services
  • Identify options for open-source databases in Azure
Module 3: Explore fundamentals of non-relational data in Azure
  • Fundamentals of Azure Storage
  • Fundamentals of Azure Cosmos DB
  • Describe features and capabilities of Azure blob storage
  • Describe features and capabilities of Azure Data Lake Gen2
  • Describe features and capabilities of Azure file storage
  • Describe features and capabilities of Azure table storage
  • Describe key features and capabilities of Azure Cosmos DB
  • Identify the APIs supported in Azure Cosmos DB
Module 4: Explore fundamentals of data analytics
  • Modern data warehousing
  • Streaming and real-time analytics
  • Data visualization
  • Identify common elements of a modern data warehousing solution
  • Describe key features for data ingestion pipelines
  • Identify common types of analytical data store and related Azure services
  • Describe common elements of streaming data solutions
  • Describe features and capabilities of Azure Stream Analytics
  • Describe features and capabilities of Spark Structured Streaming on Azure
  • Describe features and capabilities of Azure Synapse Data Explorer
  • Describe a high-level process for creating reporting solutions with Microsoft Power BI
  • Describe core principles of analytical data modeling

DP-900T00 Microsoft Azure Data Fundamentals

Jump to dates

Duration

1 Days

This course is intended for

The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.

Overview

After completing this course, students will be able to:
Describe core data concepts
Identify considerations for relational data on Azure
Describe considerations for working with non-relational data on Azure
Describe an analytics workload on Azure

Description

In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about modern data warehousing, real-time analytics, and data visualization.This course may earn a Credly Badge.

Module 1: Explore core data concepts
  • Core data concepts
  • Data roles and Services
  • Identify how data is defined and stored
  • Identify characteristics of relational and non-relational data
  • Describe and differentiate data workloads
  • Describe and differentiate batch and streaming data
  • Identify common data professional roles
  • Identify common cloud services used by data professionals
Module 2: Explore fundamentals of relational data in Azure
  • Explore relational data offerings in Azure
  • Explore Azure services for relational data
  • Identify characteristics of relational data
  • Define normalization
  • Identify types of SQL statement
  • Identify common relational database objects
  • Identify options for Azure SQL services
  • Identify options for open-source databases in Azure
Module 3: Explore fundamentals of non-relational data in Azure
  • Fundamentals of Azure Storage
  • Fundamentals of Azure Cosmos DB
  • Describe features and capabilities of Azure blob storage
  • Describe features and capabilities of Azure Data Lake Gen2
  • Describe features and capabilities of Azure file storage
  • Describe features and capabilities of Azure table storage
  • Describe key features and capabilities of Azure Cosmos DB
  • Identify the APIs supported in Azure Cosmos DB
Module 4: Explore fundamentals of data analytics
  • Modern data warehousing
  • Streaming and real-time analytics
  • Data visualization
  • Identify common elements of a modern data warehousing solution
  • Describe key features for data ingestion pipelines
  • Identify common types of analytical data store and related Azure services
  • Describe common elements of streaming data solutions
  • Describe features and capabilities of Azure Stream Analytics
  • Describe features and capabilities of Spark Structured Streaming on Azure
  • Describe features and capabilities of Azure Synapse Data Explorer
  • Describe a high-level process for creating reporting solutions with Microsoft Power BI
  • Describe core principles of analytical data modeling

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