Course Outline
Introduction
Data management involves the systematic storage and processing of information. Within an enterprise environment, the scope of data management expands significantly. Handling large volumes of data requires critical attention to processing speed, security, sharing capabilities, and analytical functions.
This course is designed for entry-level engineers, covering the various technologies, tools, architectures, and design methodologies essential for managing large-scale data. We explore traditional storage solutions, such as relational databases, alongside modern, less structured approaches.
The curriculum compares traditional file systems with distributed file systems and contrasts conventional server architecture with clustered server architectures, all within the context of managing and processing big data across distributed environments.
Participants will engage in hands-on exercises and assessments, followed by instructor-led coaching and group discussions.
Key topics include:
Hadoop
MS SQL
Oracle
Exadata
Data hub
NoSQL
NewSQL
Storage
Business Intelligence
Data Architecture
Requirements
- Basic understanding of databases
- Some prior programming experience
Testimonials (2)
The variety of the information shared and the clarity to explain terms in plain English.
Arisbe Mendoza - Fairtrade International
Course - GDPR Workshop
It's a hands-on session.
