Azure Data Fundamentals (DP‑900)

Azure Data Fundamentals Certification (DP-900)

This introductory certification enables learners to understand the fundamentals of data in the cloud. It teaches key concepts about data types (relational and non-relational), data analysis, and Microsoft Azure data services. It is designed for those who are beginning their journey in cloud-based d…

15 hours
Official Certificate
Expert Instructors
Online Learning
Certificación internacional Azure Data Fundamentals (DP‑900)
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This introductory certification enables learners to understand the fundamentals of data in the cloud. It teaches key concepts about data types (relational and non-relational), data analysis, and Microsoft Azure data services. It is designed for those who are beginning their journey in cloud-based data management.

Upon completing the course, participants will be able to:

  • Understand the essential concepts of data in the cloud
  • Differentiate between relational and non-relational databases
  • Identify Azure services for data storage and analysis
  • Describe the components of a modern analytics solution
  • Use basic visualization concepts with Power BI
  • Prepare for careers in data analysis, database administration, or data engineering

To participate in this training, attendees must meet the following requirements:

  • Have an interest in data science or database administration
  • Wish to understand the basic concepts of data storage and analysis in the cloud

Certificación internacional Azure Data Fundamentals (DP‑900) Applies
Certificación internacional Azure Data Fundamentals (DP‑900) 15 hours

Learning Methodology

The learning methodology, regardless of the modality (in-person or remote), is based on the development of workshops or labs that lead to the construction of a project, emulating real activities in a company.

The instructor (live), a professional with extensive experience in work environments related to the topics covered, acts as a workshop leader, guiding students' practice through knowledge transfer processes, applying the concepts of the proposed syllabus to the project.

The methodology seeks that the student does not memorize, but rather understands the concepts and how they are applied in a work environment.

As a result of this work, at the end of the training the student will have gained real experience, will be prepared for work and to pass an interview, a technical test, and/or achieve higher scores on international certification exams.

Conditions to guarantee successful results:
  • a. An institution that requires the application of the model through organization, logistics, and strict control over the activities to be carried out by the participants in each training session.
  • b. An instructor located anywhere in the world, who has the required in-depth knowledge, expertise, experience, and outstanding values, ensuring a very high-level knowledge transfer.
  • c. A committed student, with the space, time, and attention required by the training process, and the willingness to focus on understanding how concepts are applied in a work environment, and not memorizing concepts just to take an exam.

Pre-enrollment

You do not need to pay to pre-enroll. By pre-enrolling, you reserve a spot in the group for this course or program. Our team will contact you to complete your enrollment.

Pre-enroll now

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Description

This introductory certification enables learners to understand the fundamentals of data in the cloud. It teaches key concepts about data types (relational and non-relational), data analysis, and Microsoft Azure data services. It is designed for those who are beginning their journey in cloud-based data management.

Objectives

Upon completing the course, participants will be able to:

  • Understand the essential concepts of data in the cloud
  • Differentiate between relational and non-relational databases
  • Identify Azure services for data storage and analysis
  • Describe the components of a modern analytics solution
  • Use basic visualization concepts with Power BI
  • Prepare for careers in data analysis, database administration, or data engineering

To participate in this training, attendees must meet the following requirements:

  • Have an interest in data science or database administration
  • Wish to understand the basic concepts of data storage and analysis in the cloud

offers

Certificación internacional Azure Data Fundamentals (DP‑900) Applies
Certificación internacional Azure Data Fundamentals (DP‑900) 15 hours

Learning Methodology

The learning methodology, regardless of the modality (in-person or remote), is based on the development of workshops or labs that lead to the construction of a project, emulating real activities in a company.

The instructor(live), a professional with extensive experience in work environments related to the topics covered, acts as a workshop leader, guiding students' practice through knowledge transfer processes, applying the concepts of the proposed syllabus to the project.

La metodología persigue que el estudiante "does not memorize", but rather "understands" the concepts and how they are applied in a work environment."

As a result of this work, at the end of the training the student will have gained real experience, will be prepared for work and to pass an interview, a technical test, and/or achieve higher scores on international certification exams.

Conditions to guarantee successful results:
  • a. An institution that requires the application of the model through organization, logistics, and strict control over the activities to be carried out by the participants in each training session.
  • b. An instructor located anywhere in the world, who has the required in-depth knowledge, expertise, experience, and outstanding values, ensuring a very high-level knowledge transfer.
  • c. A committed student, with the space, time, and attention required by the training process, and the willingness to focus on understanding how concepts are applied in a work environment, and not memorizing concepts just to take an exam.

Course Modules

Module 1: Data Fundamentals

  • Data structures (structured, semi-structured, and unstructured).
  • Types of workloads (transactional vs analytical).
  • Roles in data management (DBA, data engineer, data analyst).

  • Concepts of relational databases and normalization.
  • SQL, database objects.
  • Azure services such as SQL Database, Managed Instance, and support for code databases.

Storage with Azure Blob, Table, and File.
Introduction to Azure Cosmos DB and its APIs.

Large-scale and real-time data processing.
Services such as Azure Synapse, Databricks, and Data Factory.
Data visualization with Power BI.