Big Data – Architecture and Infrastructure
Reference : DATA-BIGDATA-ARCHI-01
Price : Contact us
Level & Prerequisites :
Duration : 3 days
General knowledge of information systems.
Basic knowledge of data engineering or databases recommended.
Description
This training program provides an in-depth understanding of modern Big Data architectures and the technical infrastructure required to process, store, and analyze massive volumes of data.
It covers architectural models (Lambda, Kappa, Lakehouse), distributed infrastructures, cloud platforms, and key Big Data technologies.
The program is designed for architects, data engineers, IT managers, and project managers who want to design or modernize a robust, scalable, and secure Big Data architecture.
Public
IT architects and data architects.
Data engineers and systems engineers.
Data project managers and technical leads.
Anyone involved in the design or modernization of Big Data infrastructures.
Course objectives
Understand the fundamental principles of Big Data architectures.
Identify the essential components of a distributed infrastructure.
Master modern architectural models (Data Lake, Lakehouse, Lambda, Kappa).
Discover key technologies: Hadoop, Spark, Kafka, distributed storage, orchestrators.
Understand the challenges of scalability, performance, security, and governance.
Know how to design a Big Data architecture adapted to business needs.
Explore Cloud solutions (AWS, Azure, GCP) and unified platforms.
Content
Introduction to Big Data Architectures
Architectural Patterns
Distributed Infrastructures
Key Technologies
Big Data Cloud Platforms
Security, Governance, and Compliance
Performance, Optimization, and Costs
Case Studies and Best Practices