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Course Outline

Introduction

Data Architecture

  • Overview of data architecture principles
  • Significance in tax and customs regulatory environments for government operations

Warehouse Architecture

  • Key concepts and components
  • Best practices and use cases for government agencies
  • Data Lake architecture in governmental contexts
  • Lakehouse platform architecture for enhanced data management
  • Comparative analysis and use cases for government entities

Advanced Data Architectures

  • Data mesh architecture for decentralized data management
  • Data fabric architecture to facilitate seamless data integration
  • Integration and practical applications in government settings

Modern Data Architectures

  • Microservices-oriented architecture for flexible and scalable systems
  • Serverless architecture to optimize resource utilization
  • Implementation strategies for government agencies

Data Governance

  • Overview of data governance principles
  • Importance in regulatory environments for government operations

Data Governance Frameworks

  • Dama framework for comprehensive data management
  • Togaf framework for enterprise architecture alignment
  • Comparative analysis of frameworks for government use

Streaming Governance

  • Concepts and practices in real-time data processing
  • Integration with existing data governance policies for government agencies

Cloud Computing

  • Introduction to cloud computing technologies
  • Benefits and challenges for regulatory compliance in government operations

Cloud Computing Platforms

  • Key services and features of the AWS Cloud platform
  • Key services and features of the Azure Cloud platform
  • Key services and features of the GCP Cloud platform
  • Case studies in tax and customs for government agencies

Big Data Processing

  • Introduction to Apache Spark for large-scale data processing
  • Overview of Databricks for efficient data engineering
  • Integration with cloud platforms for government applications

Real-Time Data Streaming

  • Introduction to Apache Kafka for real-time data streaming
  • Use cases and implementation strategies in government operations

Microservices Development

  • Introduction to microservices architecture for modular systems
  • Best practices for developing microservices in government environments

DevOps and FinOps

  • Overview of DevOps practices for continuous integration and deployment
  • Introduction to FinOps for financial operations optimization
  • Implementation strategies for cost management in government agencies

Summary and Next Steps

Requirements

  • Fundamental knowledge of data concepts and structures
  • Understanding of data management and storage principles

Audience for Government

  • Data Engineers
  • Data Architects
  • System Administrators
  • Business Analysts
  • IT Professionals
 21 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)

Hands on exercises. Class should have been 5 days, but the 3 days helped to clear up a lot of questions that I had from working with NiFi already

James - BHG Financial
Course - Apache NiFi for Administrators

Upcoming Courses

Big Data Consulting

2026-07-09 09:30
21 hours
Overland Park, KS - Commerce Plaza
$ 4054 (Online)
$ 5854 (Classroom)

Big Data Consulting

2026-07-23 09:30
21 hours
Louisville, KY – Regus at Ormsby III Forest Green
$ 4054 (Online)
$ 5854 (Classroom)

Big Data Consulting

2026-08-06 09:30
21 hours
New Orleans, LA - Regus - Place St. Charles
$ 4054 (Online)
$ 5854 (Classroom)

Big Data Consulting

2026-08-20 09:30
21 hours
Flowood, MS – Regus at Market Street
$ 4054 (Online)
$ 5854 (Classroom)

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