Course Outline
Introduction
Data management involves the storage and processing of information. Within an enterprise context, this process becomes significantly more complex. The volume of data, along with the speed at which it must be processed, secured, shared, and analyzed, is critical to success.
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 cover traditional data storage methods, such as relational databases, as well as newer, less structured approaches.
Traditional file systems are compared to distributed file systems, and traditional server architecture is compared to clustered server architecture, all within the context of managing and processing big data across distributed systems.
Attendees will conduct hands-on exercises and tests, followed by coaching from the instructor 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
- 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.