Course Outline
Introduction
Data management involves the storage and processing of information. Within an enterprise context, data management becomes significantly more complex. The volume of data and the speed at which it needs to be secured, shared, analyzed, and processed are critical factors.
This course is designed for entry-level engineers. It explores the various technologies, tools, architectures, and design methodologies used to handle large volumes of data. We examine traditional data storage methods, such as relational databases, as well as newer, less structured approaches.
The curriculum compares traditional file systems with distributed file systems, and traditional server architecture with clustered server architecture, all within the context of managing and processing big data across distributed systems.
Attendees will perform 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
- Fundamental understanding of databases
- Basic 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.
