Description
Training objective: This training aims to provide participants with an in-depth understanding of the architectures and infrastructures required to effectively manage massive data in a Big Data environment. Participants will learn the principles, technologies, and best practices for designing and implementing robust and scalable Big Data solutions.
Learning Objectives
- Understand the fundamental principles of Big Data, including data volume, variety, velocity, and veracity
- Identify and compare different Big Data architectures and infrastructures, including traditional data warehouses, distributed file systems, and NoSQL databases
- Assess the specific Big Data needs of their organization and design suitable architectures
- Implement Big Data solutions using appropriate technologies and tools
- Analyze challenges and best practices related to the implementation and management of Big Data infrastructure
Target Audience
Data Architects
IT Professionals
Software Engineers
System Administrators
Prerequisites
Basic knowledge of data management and IT concepts is recommended
Prior experience with basic Big Data tools such as Hadoop, Spark, or NoSQL databases would be beneficial but is not mandatory
Program Outline
Informations
Duration
2 jour(s)
14h
Tarif
1500 € HT
HT
Similar Trainings
IA & Data
Cloud Migration
2 jour(s)
Sur demande
IA & Data
AI Agents – Designing Autonomous Systems with LangChain and LangGraph – Advanced
3 jour(s)
Sur demande
IA & Data
European AI Act — Understanding your obligations and ensuring compliance — Beginner level
1 jour(s)
Sur demande
IA & Data
Data Analysis with Microsoft Power BI (4-167)
3 jour(s)
2200 € HT