Big Data & Database Systems Fundamentals Training Course

Foundations of Data Platforms

• Definition of databases, data platforms, and big data systems for government applications.
• Types of data: structured, semi-structured, and unstructured.
• Common business drivers for modernizing data solutions in the public sector.
• Characteristics and essential terminology related to big data for government operations.

Database Fundamentals

• Fundamental concepts of relational databases, including tables, rows, columns, and keys.
• Use of SQL for data retrieval and management in governmental contexts.
• Basic principles of data modeling and simple schema design for government systems.
• Practical understanding of transactions, consistency, and reliability in database operations for government.

Choosing Between Relational and NoSQL Systems

• Comparison of relational databases and NoSQL databases for government use cases.
• Overview of document, key-value, column, and graph models at a high level.
• Evaluation of the strengths, limitations, and tradeoffs of each database approach for government applications.
• Guidance on matching database choices to common business needs in the public sector.

Data Warehousing and Big Data Processing

• Purpose and benefits of data warehouses, data lakes, and lakehouse-style architectures for government.
• Concepts of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) for data movement and preparation in governmental systems.
• Batch and stream processing concepts relevant to large-scale data operations for government.
• High-level overview of distributed storage and processing techniques for government data platforms.

Governance, Security, and Data Quality

• Fundamental principles of data governance, including ownership and stewardship in the public sector.
• Access control, privacy, and security considerations specific to government data systems.
• Common data quality issues and practical methods for improvement in governmental contexts.
• Compliance requirements and responsible data use practices in business environments for government.

Practical Applications and Course Wrap-Up

• Typical use cases of data platforms in reporting, analytics, and operational systems for government.
• Review of example architectures tailored to different governmental scenarios.
• Common challenges in implementing data solutions and strategies to mitigate risks in the public sector.
• Summary of key takeaways, recommendations, and next steps for further learning in government data management.