Course Outline
Introduction
Data management involves the processes of storing and processing information. Within an enterprise environment, this practice takes on a much broader scope. The volume of data and the speed at which it must be processed, secured, shared, analyzed, and more are critical factors.
This course is designed for entry-level engineers. It explores the various technologies, tools, architectures, and design methodologies employed to manage large volumes of data. We examine traditional data storage methods, such as relational databases, alongside newer, less structured approaches.
Traditional file systems are compared to distributed file systems, and conventional server architectures are contrasted with clustered server architectures, all within the context of managing and processing big data across distributed systems.
Attendees will complete hands-on exercises and assessments, followed by coaching from the instructor and group discussions.
Major topics will include:
Hadoop
MS SQL
Oracle
Exadata
Data hub
NoSQL
NewSQL
Storage
Business Intelligence
Data Architecture
Requirements
- General idea 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.
