Course Outline
Introduction
Data management involves the storage and processing of data. Within an enterprise environment, data management takes on a significantly more complex scope. The volume of data, along with the speed at which it must be processed, secured, shared, and analysed, is critical.
This course is designed for entry-level engineers. It covers the various technologies, tools, architectures, and design methodologies used to manage large volumes of data. We explore traditional data storage methods, such as relational databases, alongside newer, less structured approaches.
Traditional file systems are compared to distributed file systems, and traditional server architecture is contrasted with clustered server architecture, all within the context of managing and processing big data across distributed systems.
Attendees will participate in hands-on exercises and tests, 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
- Foundational understanding of databases
- Some experience with programming
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 6500 € + VAT*
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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.
