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Course Outline
Foundations of Data Platforms
- Understanding databases, data platforms, and big data systems.
- Distinguishing between structured, semi-structured, and unstructured data.
- Identifying common business drivers for modern data solutions.
- Understanding big data characteristics and essential terminology.
Database Fundamentals
- Relational database concepts, including tables, rows, columns, and keys.
- Utilizing SQL to retrieve and manage data.
- Introduction to basic data modeling and simple schema design.
- Understanding transactions, consistency, and reliability at a practical level.
Choosing Between Relational and NoSQL Systems
- Comparing relational databases with NoSQL databases.
- Overview of document, key-value, column, and graph models.
- Evaluating the strengths, limitations, and trade-offs of each approach.
- Aligning database choices with common business needs.
Data Warehousing and Big Data Processing
- Understanding the purpose of data warehouses, data lakes, and lakehouse-style architectures.
- Concepts of ETL and ELT for moving and preparing data.
- Understanding batch and stream processing concepts.
- High-level overview of distributed storage and processing.
Governance, Security, and Data Quality
- Basic principles of governance, ownership, and stewardship.
- Considerations for access control, privacy, and security.
- 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 various scenarios.
- Common implementation challenges and strategies 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 handle data.
- Basic experience with technical, analytical, or business systems.
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 (2)
The training instruments provided.
- UNIFI
Course - NoSQL Database with Microsoft Azure Cosmos DB
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
