Diseña e implementa pipelines de ingesta de datos (batch/streaming) usando S3, Kinesis Data Streams/Firehose, Snowball, IoT. Evalúa rendimiento, durabilidad, orden y estructura del flujo de datos.
Analiza patrones de acceso y estructura de datos en S3, Redshift, DynamoDB, HDFS/EMR, optimizando formatos (Parquet, ORC) y preferencias de almacenamiento para distintas cargas de trabajo.
Selecciona y diseña arquitecturas de procesamiento con EMR (Spark/Hadoop), Glue, Lambda y Redshift Spectrum, evaluando operaciones por lotes y en tiempo real.
Determina herramientas de análisis: EMR, Athena, Redshift, Machine Learning integrada. Diseña soluciones analíticas optimizadas para latencia, rendimiento y costo.
Diseña y desarrolla dashboards y reportes usando QuickSight, Jupyter, redshift-clients, optimizando rendimiento, escalabilidad y experiencia de usuario
Implementa cifrado (KMS, SSE, SSE‑KMS), políticas de acceso (IAM, Lake Formation), auditoría (CloudTrail), integridad y cumplimiento normativo (GDPR/HIPAA)
Integra los componentes anteriores en una arquitectura completa: ingestión → almacenamiento → procesamiento → análisis → visualización, con monitoreo y escalabilidad.
Estudia escenarios reales como pipelines IoT, clickstream, ETL masivos con EMR y optimización de consultas/distribución de datos.
Hands-on con despliegue de arquitecturas Big Data en AWS: Kinesis → S3 → EMR/Glue → Redshift → QuickSight, controlando métricas de rendimiento y costo.
Ejercicios tipo exam, preguntas multi‑respuesta y análisis de casos. Estrategias para interpretación y manejo del tiempo.
Revisión de whitepapers oficiales (Big Data Analytics Options on AWS, Data Lakes, seguridad), recursos clave, plan de estudio personalizado y checklist previo al examen.
Advanced certification for professionals who design and operate Big Data architectures on AWS. Validates skills in large-scale data collection, ingestion, storage, processing, analysis, visualization, and security.
At the end of the course, participants will be able to:
Recommended but not required:
| AWS Certified Big Data – Specialty (BDS‑C00) | Applies |
|---|---|
| AWS Certified Big Data – Specialty (BDS‑C00) | 24 hours |
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.
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 nowMake your payment quickly, safely and reliably
- For bank transfer payments, request the details by email
capacita@aulamatriz.edu.co.
- If you wish to finance your payment through our credit options
(Sufi, Cooperativa Unimos or Fincomercio), click on the following link:
Ver opciones de crédito.
Advanced certification for professionals who design and operate Big Data architectures on AWS. Validates skills in large-scale data collection, ingestion, storage, processing, analysis, visualization, and security.
At the end of the course, participants will be able to:
Recommended but not required:
| AWS Certified Big Data – Specialty (BDS‑C00) | Applies |
|---|---|
| AWS Certified Big Data – Specialty (BDS‑C00) | 24 hours |
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.
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.
Make your payment quickly, safely and reliably
- For bank transfer payments, request the details by email
capacita@aulamatriz.edu.co.
- If you wish to finance your payment through our credit options
(Sufi, Cooperativa Unimos or Fincomercio), click on the following link:
Ver opciones de crédito.
