Microsoft DP-900: Azure Data Fundamentals eLearning

COURSE DESCRIPTION

In this CertKit, students will 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. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.

• Measure-Up Exam simulation 150 questions
• 17+ hours of eLearning
• Tips & Tricks

CERTIFICATION

This course prepares participants for the official Microsoft DP-900 exam, which can be taken separately after completing the training. This exam is optional and can be ordered separately with the training course.

LEARNING OUTCOMES

In this course, you will learn to:

• Describe core data concepts in Azure.
• Explain concepts of relational data in Azure.
• Explain concepts of non-relational data in Azure.
• Identify components of a modern data warehouse in Azure.

TARGET AUDIENCE

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.

CONTENT

• Data Workloads
• Data Analytics
• Relational Data Workloads
• Relational Data Management
• Provisioning & Configuring Relational Data Services
• Azure SQL Querying Techniques
• Non-relational Data Workloads
• Non-relational Data Services
• Azure Cosmos DB
• Non-relational Data Management
• Azure Analytics Workloads
• Modern Data Warehousing
• Azure Data Ingestion & Processing
• Azure Data Visualization

PREREQUISITES

Prerequisite certification is not required before taking this course. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data.

• Experience using a web browser, such as Microsoft Edge.
• Familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet and visualizing data using charts.