Microsoft Azure Data Fundamentals Exam Guide (DP-900)

Microsoft Azure Data Fundamentals Exam Guide (DP-900)

Instructor: Packt - Course Instructors

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8 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

8 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Analyze features of structured, semi-structured, and unstructured data
Utilize Azure SQL and open-source database services effectively
Identify and evaluate Azure storage options for different workloads

Details to know

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Assessments

8 assignments

Taught in English

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There are 8 modules in this course

This course provides a clear path to mastering Azure data fundamentals and preparing for the DP-900 certification exam. It covers key concepts such as structured, semi-structured, and unstructured data, along with essential Azure services, ensuring learners build a strong foundation in cloud data solutions.

Learners will gain the knowledge and skills required to analyze data features, utilize Azure SQL and open-source database services, and evaluate various Azure storage options. The practical examples provided will help boost confidence and prepare you for success in the DP-900 exam. The course is unique because it combines clear theoretical explanations with practical real-world applications, offering a comprehensive understanding of Azure data services that aligns with exam requirements. This course is ideal for administrators, engineers, analysts, or anyone interested in data careers, provided they have a basic understanding of cloud concepts and client-server applications. Based on the book, Microsoft Azure Data Fundamentals (DP-900) Exam Guide, by Steve Miles.

In this section, we explore core data concepts, including data representation, storage options, and roles in data workloads, providing foundational knowledge for data-driven decision-making.

What's included

2 videos10 readings1 assignment

2 videosTotal 2 minutes

Course Overview Video1 minute
Describe Core Data Concepts - Overview Video1 minute

10 readingsTotal 140 minutes

Introduction10 minutes
Data Structures15 minutes
Structured Data20 minutes
Semi-structured Data15 minutes
Delimited Text15 minutes
XML15 minutes
Databases15 minutes
Non-relational Databases10 minutes
Describe Common Data Workloads15 minutes
Identify Roles and Responsibilities for Data Workloads10 minutes

1 assignmentTotal 10 minutes

Foundations of Data Management and Representation10 minutes

In this section, we explore relational data concepts, normalization, SQL statements, and database objects to build foundational knowledge for efficient data management and the DP-900 Azure certification.

What's included

1 video4 readings1 assignment

In this section, we explore Azure relational data services, focusing on Microsoft and open source databases, deployment methods, and exam readiness for DP-900.

What's included

1 video4 readings1 assignment

In this section, we explore Azure Storage capabilities, including Blob, Files, and Table storage, for managing structured, semi-structured, and unstructured data in cloud environments.

What's included

1 video3 readings1 assignment

In this section, we explore Azure Cosmos DB's capabilities, use cases, and APIs, emphasizing its multi-model, scalable, and flexible design for diverse application needs.

What's included

1 video2 readings1 assignment

In this section, we explore large-scale analytics architecture, focusing on data ingestion, storage, and Azure services like Synapse Analytics and Databricks for efficient data management and analysis.

What's included

1 video4 readings1 assignment

In this section, we explore batch and streaming data processing methods and identify Azure services for real-time analytics, focusing on practical applications and decision-making.

What's included

1 video4 readings1 assignment

In this section, we explore Power BI's data visualization capabilities, focusing on interactive reports, dashboards, and data modeling to enhance decision-making and exam readiness.