Course Outline
Introduction
Data management encompasses the storage and processing of information. Within an enterprise setting, this scope expands significantly. Managing big data involves handling massive volumes while ensuring critical aspects such as speed, security, sharing, and analysis are addressed effectively.
Designed for engineers at the start of their careers, this course explores the diverse technologies, tools, architectures, and design methodologies employed to manage large-scale data. We will examine traditional data storage methods like relational databases alongside emerging, less structured approaches.
The curriculum compares traditional file systems and server architectures with their distributed and clustered counterparts, all framed within the context of managing and processing big data across distributed environments.
Participants will engage in hands-on exercises and assessments, followed by instructor coaching and group discussions.
Key topics covered include:
Hadoop
MS SQL
Oracle
Exadata
Data hub
NoSQL
NewSQL
Storage
Business Intelligence
Data Architecture
Requirements
- Familiarity with the general concepts of databases
- Some background in programming
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.
