Course Outline
Introduction
Data management involves the storage and processing of data. Within an enterprise context, this function takes on a significantly broader scope. The sheer volume of data and the speed at which it must be processed, secured, shared, analysed, and managed are critical factors.
This course is designed for entry-level engineers. It covers the various technologies, tools, architectures, and design methodologies employed to manage large-scale data volumes. We explore traditional data storage methods, such as relational databases, alongside newer, less structured approaches.
The curriculum compares traditional file systems with distributed file systems, and contrasts conventional server architecture with clustered server architecture, all within the context of managing and processing big data across distributed systems.
Attendees will engage in practical 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
- A 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.
