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Course Outline
Foundations of Data Platforms
- What databases, data platforms, and big data systems are
- Structured, semi-structured, and unstructured data
- Common business drivers for modern data solutions
- Big data characteristics and essential terminology
Database Fundamentals
- Relational database concepts including tables, rows, columns, and keys
- How SQL is used to retrieve and manage data
- Basic data modeling and simple schema design
- Transactions, consistency, and reliability at a practical level
Choosing Between Relational and NoSQL Systems
- Relational databases versus NoSQL databases
- Document, key-value, column, and graph models at a high level
- Strengths, limitations, and tradeoffs of each approach
- Matching database choices to common business needs
Data Warehousing and Big Data Processing
- Purpose of data warehouses, data lakes, and lakehouse-style architectures
- ETL and ELT concepts for moving and preparing data
- Batch and stream processing concepts
- High-level view of distributed storage and processing
Governance, Security, and Data Quality
- Basic governance principles, ownership, and stewardship
- Access control, privacy, and security considerations
- Common data quality issues and practical improvement methods
- Compliance and responsible data use in business environments
Practical Applications and Course Wrap-Up
- Typical use cases in reporting, analytics, and operational systems
- Reviewing example architectures for different scenarios
- Common implementation challenges and ways to reduce risk
- Summary, recommendations, and next steps for further learning
Requirements
- A general understanding of data, reports, and common business information flows
- Experience using spreadsheets, reports, or business applications that work with data
- Basic technical, analytical, or business systems experience
Audience
- Business analysts and reporting professionals
- IT staff, developers, and system support personnel
- Managers and decision-makers involved in data-related projects
14 Hours
Testimonials (3)
The training instruments provided.
- UNIFI
Course - NoSQL Database with Microsoft Azure Cosmos DB
I liked that it was practical. Loved to apply the theoretical knowledge with practical examples.
Aurelia-Adriana - Allianz Services Romania
Course - Python and Spark for Big Data (PySpark)
The fact that we were able to take with us most of the information/course/presentation/exercises done, so that we can look over them and perhaps redo what we didint understand first time or improve what we already did.
