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Microsoft Azure Data Fundamentals DP-900T00

4.5/5

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.

Training Options

Classroom Training

Online Instructor Led

Onsite Training

Corporate Training Options

Online Instructor Led

2

Classroom Training

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Onsite Training

Overseas Training

Course Information

Module 1: Explore core data concepts

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.

Lessons

  • Core data concepts

  • Data roles and Services

After completing this module, students will be able to:

  • 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

Students will explore fundamental relational data concepts and relational database services in Azure.

Lessons

  • Explore relational data offerings in Azure

  • Explore Azure services for relational data

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Lab : Provision Azure relational database services

After completing this module, students will be able to:

  • 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

  • Provision a database service on Azure

Module 3: Explore fundamentals of non-relational data in Azure

Students will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB.

Lessons

  • Fundamentals of Azure Storage

  • Fundamentals of Azure Cosmos DB

Lab : Explore Azure Storage

Lab : Explore Azure Cosmos DB

After completing this module, students will be able to:

  • 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

  • Provision and use an Azure Storage account

  • Describe key features and capabilities of Azure Cosmos DB

  • Identify the APIs supported in Azure Cosmos DB

  • Provision and use an Azure Cosmos DB instance

Module 4: Explore fundamentals of data analytics

Students will learn about modern data warehousing, real-time analytics, and data visualization.

Lessons

  • Modern data warehousing

  • Streaming and real-time analytics

  • Data visualization

Lab : Analyze streaming data

Lab : Visualize data with Power BI

Lab : Explore Azure Synapse Analytics

After completing this module, students will be able to:

  • 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

  • Provision Azure Synapse Analytics and use it to ingest, process, and query data

  • Compare batch and stream processing

  • 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

  • Identify common types of data visualization and their uses

  • Create an interactive report with Power BI Desktop

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Audience Profile

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.

Q: Is the Microsoft Azure Data Fundamentals DP-900T00 worth IT?

A: Yes, If you're a data analyst, junior data engineer, database administrator, or actually an app developer, the Microsoft Azure Data Fundamentals DP-900T00 will demonstrate your competence in navigating Azure's features.

Q: Who should take Microsoft Azure Data Fundamentals DP-900T00 course?

A: This course is designed for the people who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and make their foundational knowledge of cloud data services within Microsoft Azure.

Q: What are the requirements before enrolling yourself in the Microsoft Azure Data Fundamentals DP-900T00 course?

A: The requirements are not as such defined, but if you are a successful Azure Data Fundamentals learner you can start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data.

Q: Which certification category is defined for this course?

A: This course is part of the Microsoft Certified: Azure Data Fundamentals certification.

Corporate Training Options

Classroom Training

Customized to your Team’s needs

Onsite Training

Deliver at your Work Location

Online Instructor Led

Connect Online from Anywhere

Upcoming Batch

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Testimonials?

Mohammed Aljbreen Operation Specialist, SAMA

The Clarity of the Content was very good. The explanation of the trainer with in-depth knowledge in a proper flow really impressed me to give 5 star rating.

Arindam Chakraborty Systems Specialist, King Abdullah University of Sciences & Technology

The Instructor was really impressive. Clear cut explanation of every topic he covered with real time scenarios.

Sher Afzal Khan Cloud Engineer, Cloud 9 Networks

The Trainer and the Course Material, both are good. Good flow of explanation with simple examples. The complete training was focused on current industry challenges.

Jawed Ahmad Siddiqui Sr. System Administrator, Saudi Ceramics

The Trainer’s presentation was impressed me to continue the course till end. Never feel bore till the entire sessions. She studied our mindset and follows.

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