Azure Data Fundamentals (DP‑900)

Azure Data Fundamentals (DP‑900)

Módulos

Módulo 1: Fundamentos de datos

  • Estructura de datos (estructurados, semi-estructurados y no estructurados).
  • Tipos de cargas de trabajo (transaccionales vs analíticas).
  • Roles en gestión de datos (DBA, data engineer, data analyst).

  • Conceptos de bases de datos relacionales y normalización.
  • SQL, objetos de base de datos.
  • Servicios de Azure como SQL Database, Managed Instance, y soporte para bases de datos de código

Almacenamiento con Azure Blob, Table y File.
Introducción a Azure Cosmos DB y sus APIs.

Procesamiento de datos a gran escala y tiempo real.
Servicios como Azure Synapse, Databricks y Data Factory.
Visualización de datos con Power BI.

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

Azure Data Fundamentals (DP‑900) Applies
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

Azure Data Fundamentals (DP‑900) Applies
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.

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.

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