Course Modules
Modulo I: Integridad de Big Data
- Objetivos de Aprendizaje
- Integridad
- Contexto de Big Data
- Dos Niveles de Big Data
- CASELET: IBM Watson
- Alcance de Big Data
- Las 4 V?s de Big Data
- Volumen, Velocidad, Variedad y Veracidad
- Aplicaciones de Big Data
- Gestión de Big Data
- Ecosistema de Big Data
- Analizando Big Data
- Tablero en Tiempo Real
- Resumen de Desafíos y Soluciones
- Comparación de Tradicionales y Big Data
- Preguntas de Revisión
- Ejercicio Práctico de Liberty Stores: Paso B1
Modulo II: Fuentes y aplicaciones de Big Data
- Objetivos de Aprendizaje
- Ecosistema/Arquitectura de Big Data
- Aplicación de Google Flu
- Fuentes de Big Data Sources
- Comunicaciones Entre Personas
- Comunicaciones Entre Personas y Máquinas
- Comunicaciones Máquina a Máquina
- Aplicaciones de Big Data
- Monitoreo de Sensibilidad del Consumidor
- Aplicaciones de Big Data
- Aplicación de Vigilancia Predictiva
- Aplicaciones de Big Data
- Seguro de Automóvil Flexible - Preguntas de Revisión
- Ejercicio Práctico de Liberty Stores: Paso B2
Modulo III: Arquitecturas de Big Data
- Objetivos de Aprendizaje
- Arquitectura de Google Query
- Ecosistema / Arquitectura de Big Data
- Capas en Arquitectura de Big Data
- Arquitectura IBM Watson
- Arquitectura de Netflix
- Arquitectura de VMWare
- Arquitectura de una Compañía Meteorológica
- Arquitectura de Ticketmaster
- Arquitectura de LinkedIn
- Arquitectura de PayPal
- Ecosistema de Hadoop
- Ejercicio práctico de Liberty Stores: Paso B3
Modulo IV: Computación Distribuida Utilizando Hadoop
- Objetivos de Aprendizaje
- Ecosistema / Arquitectura de Big Data
- Hadoop y MapReduce Definidos
- ¿Por qué la computación en Clúster?
- Arquitectura de Hadoop: Fragmentación de Datos
- Arquitectura Maestro-Esclavo
- Arquitectura de Lectura y Escritura del Sistema de Archivos Distribuidos Hadoop (HDFS)
- Características de HDFS
- Instalando HDFS
- Yet Another Resource Negotiator (YARN)
- Preguntas de Revisión
Modulo V: Procesamiento Paralelo con MapReduce
- Objetivos de Aprendizaje
- Arquitectura de Big Data
- Arquitectura de MapReduce
- Arquitectura Maestro-Esclavo en MapReduce
- Papel de MapReduce 2004
- Secuencia de MapReduce
- MR Funciona como una Secuencia de UNIX
- Contador de Palabras Usando MapReduce
- Conteo de Palabras Usando MapReduce ? Ejemplo 2
- Seudo Código MapR para Contador de Palabras
- Ejemplo de Contador de Palabras (Inglés): Myfile.txt
- Resultados de Cada Segmento
- Resultados Agrupados de Map Operations
- Resultados Luego de la Fase de Reducción
- Pig vs Hive
- Lenguaje de Hive
- Arquitectura de Lenguaje Pig
Modulo VI: Bases de Datos NoSQL
- Objetivos de Aprendizaje
- Arquitectura de Big Data
- Bases de Datos NoSQL
- NoSQL vs RDBMS
- Teorema CAP
- Arquitectura NoSQL
- Tipos de Bases de Datos NoSQL
- Arquitecturas NoSQL Populares
- Procesos de Cassandra
- Lenguajes de Acceso NoSQL
- Hive - Lenguajes de Acceso NoSQL
- Pig
- Preguntas de Revisión
Modulo VII: Procesamiento Stream con Spark
- Objetivos de Aprendizaje
- Arquitectura de Big Data
- Computación Definida en Stream
- Conceptos de Streaming
- Aplicaciones de Streaming
- Características del Algoritmo de Streaming
- Filtro Bloom - Apache Spark para Computación Streaming
- Ecosistemas de Código Abierto - Arquitectura de Apache Spark
- Spark vs Hadoop
- Conjuntos de Datos Distribuidos Resilientes de Spark (RDD)
- Mecanismo de Procesamiento Spark
- Código de Spark para Pagerank
Modulo VIII: Nueva Ingestión de Datos
- Objetivos de Aprendizaje
- Arquitectura de Big Data
- Sistema de Ingestión de Datos
- Sistemas de Mensajería
- Arquitectura de Apache Kafka
- Componentes de Kafka
- Mecanismo de Tópicos de Kafka
- Atributos Clave de Kafka
Modulo IX: Computación en la Nube
- Objetivos de Aprendizaje
- Arquitectura de Big Data
- Computación en la Nube
- Modelo de Acceso a la Computación en la Nube
- Computación en la Nube como una Infraestructura Virtualizada
- Beneficios de la Computación en la Nube
- Modelos de Computación en la Nube por Propiedad y Rango de Servicios
Modulo X: Aplicación de Análisis Web
- Objetivos de Aprendizaje
- Arquitectura de Web-Analyzer
- Tecnología
- Código de Aplicación
Current process description
The Big Data Professional Certificate (BDPC) course is designed to train participants in the foundations and applications of Big Data, addressing concepts such as 4 V’s (volume, speed, variety and veracity), the Hadoop, Spark, NSQL and cloud computer ecosystem.
This course prepares participants to obtain international certification:
Big Data Professional Certificate (BDPC).
Under the practical Learning Method approach, participants will work on laboratories, practical workshops and/or real projects, ensuring the effective application of knowledge acquired in business environments.
Objectives
At the end of the course, participants will be able to:
- Understand the Big Data ecosystem, including its main challenges and commercial benefits.
- Differentiate Big data from conventional data, understanding the characteristics of the 4 v? S.
- Apply key architectures and tools, such as Hadoop, Spark and Nosql.
- Implement parallel data processing, using mapreduce and Apache Spark.
- Integrate NSOQL databases into Big Data environments, understanding its architecture and applications.
- Implement cloud computer models for mass processing and storage.
Obtain the Big Data Professional Certificate Certification (BDPC).
Prerequisites
To participate in this training, attendees must meet the following requirements:
- Basic knowledge of computer science.
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| International Certification Big Data Professional Certificate (BDPC) | 24 hours |
| • E-learning reinforcement topics and exclusive materials and simulators | • Complementary platform with digital resources, study guides, support recordings and exam simulators. |
| • Flexible educational model (in-person or live remote) | • Possibility to choose modality without losing human interaction and teaching support. |
| • Focus on employability and professional performance and exam preparation. | • Preparation oriented to certification, job performance and professional scaling based on practice, enhanced with AI support. |
| • Integration of Artificial Intelligence in learning | • Students use AI tools to reinforce understanding, practice exams and enhance their productivity. |
| • International Certification included | • Official endorsement with global recognition. Includes certification exams and access to the partner platform. |
| • Laboratories in real learning environments. | • Unlimited practical experience with real lab accounts and access to professional cloud infrastructure. |
| • Live classes with certified expert instructors. | • Guided and personalized training with direct real-time support, not offline. Recorded classes only for review. |
| • Personalized attention, small groups. | • Individual tracking, progress evaluations and technical support during training. AI-proctored performance examiner. |
| • Post-certification support and extended access to resources | • Post-assistance, access to materials for and continuous updates. |
| • Practical methodology and real and/or simulated projects. | • Applied learning from day one: simulations, business cases, projects and real cloud environments. |
| • Certificates of Approval and/or participation. | • International Certification by Certitalents
• Infinity Training Institute USA: International Certification Diploma in English • Aula Matriz IETDH Colombia - Certificate of participation |
Why choose Infinity Training Institute?
1. Internationally guaranteed certifications
All our courses are Internationally certified:
- Infinity Training Institute USA: International Certification Diploma in English.
- International Certification from our partners Microsoft, Oracle, Certitalents, AWS, PMI, Cisco, etc.
2. We are not an automatic platform, nor self-study through videos
We are a unique model, in-person or Remote modality (with live instructor). Technology + pedagogy + AI + expert instructors + real practice — not self-study or outdated content.
3. Training designed for today's job market
Experience applicable immediately in interviews, technical tests and real work environments.
4. Real or simulated projects with international standards
Students access real environments such as Azure, AWS, Google Cloud, Oracle Cloud, develop real or simulated projects, building a demonstrable technical portfolio depending on the type of course or certification they have chosen.
5. A unique combination in Latin America and the USA
Certification + real practice + AI + continuous support + dual diploma.
6. Proven results
More than 95% of our graduates obtain official certification and improve professionally in less than six months.
7. Competency level guarantee
If the student during the practical training process does not reach a minimum performance level of 75%, they must repeat the course if the instructor determines so, and the student has shown the commitment and minimum class attendance required by the model.
Your professional future starts here
At Infinity Training Institute we boost your growth with an innovative, flexible model focused on real learning and performance evaluation. Certified instructors, intensive practice, integrated AI and constant support: world-class training.
All our courses are Internationally certified:
- Infinity Training Institute USA: International Certification Diploma in English.
- International Certification from our partners Microsoft, Oracle, Certitalents, AWS, PMI, Cisco, etc.
2. We are not an automatic platform, nor self-study through videos
We are a unique model, in-person or Remote modality (with live instructor). Technology + pedagogy + AI + expert instructors + real practice — not self-study or outdated content.
3. Training designed for today's job market
Experience applicable immediately in interviews, technical tests and real work environments.
4. Real or simulated projects with international standards
Students access real environments such as Azure, AWS, Google Cloud, Oracle Cloud, develop real or simulated projects, building a demonstrable technical portfolio depending on the type of course or certification they have chosen.
5. A unique combination in Latin America and the USA
Certification + real practice + AI + continuous support + dual diploma.
6. Proven results
More than 95% of our graduates obtain official certification and improve professionally in less than six months.
7. Competency level guarantee
If the student during the practical training process does not reach a minimum performance level of 75%, they must repeat the course if the instructor determines so, and the student has shown the commitment and minimum class attendance required by the model.
Your professional future starts here
At Infinity Training Institute we boost your growth with an innovative, flexible model focused on real learning and performance evaluation. Certified instructors, intensive practice, integrated AI and constant support: world-class training.
Learning Methodology
At Infinity Training Institute, we apply a comprehensive, ever-evolving methodology centered on practical learning, powered by Artificial Intelligence, enabling personalized instruction, performance assessment, and optimized preparation for international certifications with certified instructors, real labs, simulators, and e-learning platforms. Participants learn by doing, developing technical and professional skills in small groups, with personalized follow-up and pre and post-certification support. Infinity Training Institute: Learn. Apply. Get Certified. Transcend.
Current process description
The Big Data Professional Certificate (BDPC) course is designed to train participants in the foundations and applications of Big Data, addressing concepts such as 4 V’s (volume, speed, variety and veracity), the Hadoop, Spark, NSQL and cloud computer ecosystem.
This course prepares participants to obtain international certification:
Big Data Professional Certificate (BDPC).
Under the practical Learning Method approach, participants will work on laboratories, practical workshops and/or real projects, ensuring the effective application of knowledge acquired in business environments.
Objectives
At the end of the course, participants will be able to:
- Understand the Big Data ecosystem, including its main challenges and commercial benefits.
- Differentiate Big data from conventional data, understanding the characteristics of the 4 v? S.
- Apply key architectures and tools, such as Hadoop, Spark and Nosql.
- Implement parallel data processing, using mapreduce and Apache Spark.
- Integrate NSOQL databases into Big Data environments, understanding its architecture and applications.
- Implement cloud computer models for mass processing and storage.
Obtain the Big Data Professional Certificate Certification (BDPC).
Prerequisites
To participate in this training, attendees must meet the following requirements:
- Basic knowledge of computer science.
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| International Certification Big Data Professional Certificate (BDPC) | 24 hours |
| • E-learning reinforcement topics and exclusive materials and simulators | • Complementary platform with digital resources, study guides, support recordings and exam simulators. |
| • Flexible educational model (in-person or live remote) | • Possibility to choose modality without losing human interaction and teaching support. |
| • Focus on employability and professional performance and exam preparation. | • Preparation oriented to certification, job performance and professional scaling based on practice, enhanced with AI support. |
| • Integration of Artificial Intelligence in learning | • Students use AI tools to reinforce understanding, practice exams and enhance their productivity. |
| • International Certification included | • Official endorsement with global recognition. Includes certification exams and access to the partner platform. |
| • Laboratories in real learning environments. | • Unlimited practical experience with real lab accounts and access to professional cloud infrastructure. |
| • Live classes with certified expert instructors. | • Guided and personalized training with direct real-time support, not offline. Recorded classes only for review. |
| • Personalized attention, small groups. | • Individual tracking, progress evaluations and technical support during training. AI-proctored performance examiner. |
| • Post-certification support and extended access to resources | • Post-assistance, access to materials for and continuous updates. |
| • Practical methodology and real and/or simulated projects. | • Applied learning from day one: simulations, business cases, projects and real cloud environments. |
| • Certificates of Approval and/or participation. | • International Certification by Certitalents
• Infinity Training Institute USA: International Certification Diploma in English • Aula Matriz IETDH Colombia - Certificate of participation |
Why choose Infinity Training Institute?
1. Internationally guaranteed certificationsAll our courses are Internationally certified:
- Infinity Training Institute USA: International Certification Diploma in English.
- International Certification from our partners Microsoft, Oracle, Certitalents, AWS, PMI, Cisco, etc.
2. We are not an automatic platform, nor self-study through videos
We are a unique model, in-person or Remote modality (with live instructor). Technology + pedagogy + AI + expert instructors + real practice — not self-study or outdated content.
3. Training designed for today's job market
Experience applicable immediately in interviews, technical tests and real work environments.
4. Real or simulated projects with international standards
Students access real environments such as Azure, AWS, Google Cloud, Oracle Cloud, develop real or simulated projects, building a demonstrable technical portfolio depending on the type of course or certification they have chosen.
5. A unique combination in Latin America and the USA
Certification + real practice + AI + continuous support + dual diploma.
6. Proven results
More than 95% of our graduates obtain official certification and improve professionally in less than six months.
7. Competency level guarantee
If the student during the practical training process does not reach a minimum performance level of 75%, they must repeat the course if the instructor determines so, and the student has shown the commitment and minimum class attendance required by the model.
Your professional future starts here
At Infinity Training Institute we boost your growth with an innovative, flexible model focused on real learning and performance evaluation. Certified instructors, intensive practice, integrated AI and constant support: world-class training.
Learning Methodology
At Infinity Training Institute, we apply a comprehensive, ever-evolving methodology centered on practical learning, powered by Artificial Intelligence, enabling personalized instruction, performance assessment, and optimized preparation for international certifications with certified instructors, real labs, simulators, and e-learning platforms. Participants learn by doing, developing technical and professional skills in small groups, with personalized follow-up and pre and post-certification support. Infinity Training Institute: Learn. Apply. Get Certified. Transcend.