Professional Certificate in Global Data Engineering Skills

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The Professional Certificate in Global Data Engineering Skills course is a critical program for those seeking to advance in the data engineering field. This course focuses on teaching essential skills required for designing, building, and managing efficient and scalable data systems.

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Acerca de este curso

With the rapid increase in data generation, data engineering has become a high-demand industry, with companies looking for skilled professionals to help them manage and analyze their data effectively. Through this course, learners will gain hands-on experience working with big data technologies, cloud services, and data orchestration tools. By completing this program, learners will be equipped with the skills necessary to design and implement end-to-end data solutions and advance their careers as data engineers. Overall, this course provides a comprehensive and industry-relevant curriculum that prepares learners for the challenges and opportunities in the rapidly evolving field of data engineering.

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Detalles del Curso

โ€ข Data Engineering Fundamentals: Introduction to data engineering, data lifecycle, data architecture, and data storage systems.
โ€ข Data Modeling and Design: Relational and NoSQL data models, data warehousing, dimensional modeling, and data vault concepts.
โ€ข Data Processing Technologies: Batch and stream processing, ETL tools, and orchestration frameworks like Apache Airflow and AWS Step Functions.
โ€ข Big Data Engineering: Hadoop ecosystem, Spark, Hive, Pig, and data lake implementation.
โ€ข Cloud Data Engineering: AWS, Azure, and Google Cloud data engineering services, including S3, Redshift, Databricks, Azure Synapse, and BigQuery.
โ€ข Data Integration Patterns: Data virtualization, data federation, ETL, ELT, and data replication.
โ€ข Data Governance and Security: Data security, data privacy, data quality, data lineage, and data catalogs.
โ€ข Data Pipeline Development: Designing, developing, and maintaining data pipelines using best practices, testing, and monitoring.
โ€ข DevOps for Data Engineering: Continuous integration and delivery (CI/CD), version control, and infrastructure as code (IaC) using tools like Terraform and CloudFormation.

Trayectoria Profesional

Requisitos de Entrada

  • Comprensiรณn bรกsica de la materia
  • Competencia en idioma inglรฉs
  • Acceso a computadora e internet
  • Habilidades bรกsicas de computadora
  • Dedicaciรณn para completar el curso

No se requieren calificaciones formales previas. El curso estรก diseรฑado para la accesibilidad.

Estado del Curso

Este curso proporciona conocimientos y habilidades prรกcticas para el desarrollo profesional. Es:

  • No acreditado por un organismo reconocido
  • No regulado por una instituciรณn autorizada
  • Complementario a las calificaciones formales

Recibirรกs un certificado de finalizaciรณn al completar exitosamente el curso.

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Tarifa del curso

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PROFESSIONAL CERTIFICATE IN GLOBAL DATA ENGINEERING SKILLS
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