Big Data Consulting

• Basic understanding of data concepts and structures
• Familiarity with data management and storage principles

Audience

• Data engineers
• Data architects
• System administrators
• Business analysts
• IT professionals

Big Data Consulting refers to the services provided by experts who help organizations manage, analyze, and utilize large and complex data sets to improve their business operations and decision-making processes.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to enhance their skills in data architecture, governance, cloud computing, and big data technologies to effectively manage and analyze large datasets for data migration within their organizations.

By the end of this training, participants will be able to:

• Understand the foundational concepts and components of various data architectures.
• Gain a comprehensive understanding of data governance principles and their importance in regulatory environments.
• Implement and manage data governance frameworks such as Dama and Togaf.
• Leverage cloud platforms for efficient data storage, processing, and management.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction

Data Architecture

• Overview of data architecture
• Importance in tax and customs regulatory environments

Warehouse Architecture

• Concepts and components
• Best practices and use cases
• Data Lake architecture
• Lakehouse platform architecture
• Comparative analysis and use cases

Advanced Data Architectures

• Data mesh architecture
• Data fabric architecture
• Integration and practical applications

Modern Data Architectures

• Microservices oriented architecture
• Serverless architecture
• Implementation strategies

Data Governance

• Overview of data governance
• Importance in regulatory environments

Data Governance Frameworks

• Dama framework
• Togaf framework
• Comparative analysis

Streaming Governance

• Concepts and practices
• Integration with existing data governance policies

Cloud Computing

• Introduction to Cloud Computing
• Benefits and challenges for regulatory companies

Cloud Computing Platforms

• AWS Cloud platform key services and features
• Azure Cloud platform key services and features
• GCP Cloud platform key services and features
• Case studies in tax and customs

Big Data Processing

• Introduction to Apache Spark
• Databricks overview
• Integration with cloud platforms

Real-Time Data Streaming

• Introduction to Apache Kafka
• Use cases and implementation strategies

Microservices Development

• Introduction to Microservices
• Development best practices

DevOps and FinOps

• Overview of DevOps practices
• Introduction to FinOps
• Implementation strategies for cost management

Summary and Next Steps