Course Outline

Day 1 - Fundamental Big Data for Government

  • Understanding Big Data for Government
  • Fundamental Terminology & Concepts for Government Operations
  • Big Data Business & Technology Drivers for Government Agencies
  • Traditional Enterprise Technologies Related to Big Data in the Public Sector
  • Characteristics of Data in Big Data Environments for Government Use
  • Dataset Types in Big Data Environments for Government Applications
  • Fundamental Analysis and Analytics for Government Decision-Making
  • Machine Learning Types for Government Services
  • Business Intelligence & Big Data for Government Efficiency
  • Data Visualization & Big Data for Government Reporting
  • Big Data Adoption & Planning Considerations for Government Agencies

Day 2 - Big Data Analysis & Technology Concepts for Government

  • Big Data Analysis Lifecycle (from business case evaluation to data analysis and visualization) for Government Projects
  • A/B Testing, Correlation in Government Data
  • Regression, Heat Maps for Government Insights
  • Time Series Analysis for Government Operations
  • Network Analysis for Government Networks
  • Spatial Data Analysis for Government Planning
  • Classification, Clustering for Government Data Sets
  • Outlier Detection in Government Datasets
  • Filtering (including collaborative filtering & content-based filtering) for Government Applications
  • Natural Language Processing for Government Documents
  • Sentiment Analysis, Text Analytics for Government Communications
  • File Systems & Distributed File Systems, NoSQL for Government Data Storage
  • Distributed & Parallel Data Processing for Government Efficiency
  • Processing Workloads, Clusters for Government Scalability
  • Cloud Computing & Big Data for Government Infrastructure
  • Foundational Big Data Technology Mechanisms for Government Use

Day 3 - Fundamental Big Data Architecture for Government

  • New Big Data Mechanisms, including ...
    • Security Engine for Government Data Protection
    • Cluster Manager for Government Data Management
    • Data Governance Manager for Government Compliance
    • Visualization Engine for Government Reporting
    • Productivity Portal for Government Efficiency
  • Data Processing Architectural Models, including ...
    • Shared-Everything and Shared-Nothing Architectures for Government Systems
  • Enterprise Data Warehouse and Big Data Integration Approaches, including ...
    • Series for Government Data Flow
    • Parallel for Government Data Processing
    • Big Data Appliance for Government Operations
    • Data Virtualization for Government Flexibility
  • Architectural Big Data Environments, including ...
    • ETL for Government Data Integration
    • Analytics Engine for Government Insights
    • Application Enrichment for Government Services
  • Cloud Computing & Big Data Architectural Considerations, including ...
    • how Cloud Delivery and Deployment Models can be used to host and process Big Data Solutions for Government Agencies

Day 4 - Advanced Big Data Architecture for Government

  • Big Data Solution Architectural Layers including ...
    • Data Sources for Government Data Collection
    • Data Ingress and Storage for Government Repositories
    • Event Stream Processing and Complex Event Processing for Government Real-Time Analysis
    • Egress for Government Data Distribution
    • Visualization and Utilization for Government Reporting
    • Big Data Architecture and Security for Government Protection
    • Maintenance and Governance for Government Compliance
  • Big Data Solution Design Patterns, including ...
    • Patterns pertaining to Data Ingress for Government Data Entry
    • Data Wrangling for Government Data Preparation
    • Data Storage for Government Data Repositories
    • Data Processing for Government Analysis
    • Data Analysis for Government Insights
    • Data Egress for Government Data Delivery
    • Data Visualization for Government Reporting
  • Big Data Architectural Compound Patterns for Government Solutions

Day 5 - Big Data Architecture Lab for Government

  • Incorporates a set of detailed exercises that require participants 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 for government operations.

 35 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Testimonials (1)

I generally liked the fernando's knowledge.

Valentin de Dianous - Informatique ProContact INC.
Course - Big Data Architect

Upcoming Courses

Big Data Architect

2026-02-05 09:30
35 hours
Dover, Delaware
$ 6757 (Online)
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Big Data Architect

2026-02-19 09:30
35 hours
Helena, MT
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Big Data Architect

2026-03-05 09:30
35 hours
Idaho Falls, ID
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2026-03-19 09:30
35 hours
Indianapolis, IN - Regus – Parkwood Crossing Center
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Big Data Architect

2026-04-02 09:30
35 hours
Jackson, MS - Regus at East Capitol Street
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Big Data Architect

2026-04-16 09:30
35 hours
Jefferson City, MO - Jefferson and High
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