BIG DATA ARCHITEC
Objetivos
En el entorno tecnológico todos estos datos son gestionados a través de formatos estructurados (SQL), pero también y siendo su mayor tendencia almacenamiento en datos no estructurados (NoSQL).
En esta formación, el asistente aprenderá los fundamentos y conceptos de Big Data así como sobre su arquitectura y la mejor forma de gestionarla, pudiendo gestionar sus datos optimamente.
data
Disponible en formato e-learning
Disponible en formato presencial
Disponible en formato a distancia
Subvención disponible
A través de Fundae, cumpliendo requisitos.
Duración
25 horas
- Dificultad 50%
- Nivel alcanzado 80%
Dirigido a
Conocimientos requeridos
Temario
Fundamental Big Data
Understanding Big Data
Fundamental Terminology & Concepts
Big Data Business & Technology Drivers
Traditional Enterprise Technologies Related to Big Data
Characteristics of Data in Big Data Environments
Dataset Types in Big Data Environments
Fundamental Analysis and Analytics
Machine Learning Types
Business Intelligence & Big Data
Data Visualization & Big Data
Big Data Adoption & Planning Considerations
Big Data Analysis & Technology Concepts
Big Data Analysis Lifecycle (from business case evaluation to data analysis and visualization)
A/B Testing, Correlation
Regression, Heat Maps
Time Series Analysis
Network Analysis
Spatial Data Analysis
Classification, Clustering
Outlier Detection
Filtering (including collaborative filtering & content-based filtering)
Natural Language Processing
Sentiment Analysis, Text Analytics
File Systems & Distributed File Systems, NoSQL
Distributed & Parallel Data Processing,
Processing Workloads, Clusters
Cloud Computing & Big Data
Foundational Big Data Technology Mechanisms
Fundamental Big Data Architecture
New Big Data Mechanisms, including …
Security Engine
Cluster Manager
Data Governance Manager
Visualization Engine
Productivity Portal
Data Processing Architectural Models, including …
hared-Everything and Shared-Nothing Architectures
Enterprise Data Warehouse and Big Data Integration Approaches, including …
Series
Parallel
Big Data Appliance
Data Virtualization
Architectural Big Data Environments, including …
ETL
Analytics Engine
Application Enrichment
Cloud Computing & Big Data Architectural Considerations, including …
how Cloud Delivery and Deployment Models can be used to host and process Big Data Solutions
Advanced Big Data Architecture
Big Data Solution Architectural Layers including …
Data Sources,
Data Ingress and Storage,
Event Stream Processing and Complex Event Processing,
Egress,
Visualization and Utilization,
Big Data Architecture and Security,
Maintenance and Governance
Big Data Solution Design Patterns, including …
Patterns pertaining to Data Ingress,
Data Wrangling,
Data Storage,
Data Processing,
Data Analysis,
Data Egress,
Data Visualization
Big Data Architectural Compound Patterns
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