Big Data Architect Training Course

Day 1 - 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

Day 2 - 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

Day 3 - 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 ...
  • Shared-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

Day 4 - 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

Day 5 - Big Data Architecture Lab

• Incorporates a set of detailed exercises that require delegates to solve various inter-related problems, with the goal of fostering a comprehensive understanding of how different data architecture technologies, mechanisms and techniques can be applied to solve problems in Big Data environments.