Course Outline
Introduction
Data management involves the storage and processing of data. Within an enterprise context, this process becomes significantly more complex. The volume of data and the critical need to process, secure, share, and analyze it at speed are paramount.
Designed for entry-level engineers, this course explores the technologies, tools, architectures, and design methodologies used to manage large data volumes. We examine traditional data storage methods, such as relational databases, alongside newer, less structured approaches.
The curriculum compares traditional file systems and server architectures with distributed file systems and clustered server architectures, all within the context of managing and processing big data across distributed systems.
Attendees will engage in hands-on exercises and assessments, followed by instructor coaching and group discussions.
Key topics include:
Hadoop
MS SQL
Oracle
Exadata
Data hub
NoSQL
NewSQL
Storage
Business Intelligence
Data Architecture
Requirements
- General understanding of databases
- Some 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.
