Immerse yourself in the advanced techniques of Big Data!
Eligible CPF and multi-financing up to 100%
To be recalled Access to the programmeApproach 3P
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Experience an immersive and intensive training experience, designed to dive into practical workshops and real case studies.
Learn by doing, and develop concrete skills directly applicable to your future projects.
At the end of your career, we evaluate your acquired skills, issue certification attesting to your expertise, and accompany you to ensure your success in your professional projects.
You are now ready to excel!
Description of the training
This training will allow you to master the fundamental concepts and advanced techniques of Big Data. You will discover Hadoop architecture, massive data processing with Apache Spark, data visualization and governance management in a Big Data environment.
Objectives of training
The objectives of the training are:
- Understand the key concepts of Big Data (the 5 Vs) and its ecosystem.
- Master Hadoop architecture to manage and process large volumes of data.
- Use Apache Spark to handle RDDs and DataFrames and perform distributed calculations.
- Analyze and query massive data with Spark SQL.
- View data with Tableau.
- Apply concepts of governance, security and data quality in a Big Data environment.
- Integrate data using tools such as Apache NiFi or Talend and create ETL pipelines.
- Understand the standards and regulations (e.g., GDPR) related to data management.
Who is this training for?
The "Data and Big Data Control" training is intended to:
- IT professionals: Developers, system administrators, architects.
- Data Analysts, Data Scientists.
- Technical managers (project managers, technical directors).
- Enterprises in digital transformation.
Prerequisites
Basic knowledge of information systems.
Training programme
Introduction to Big Data and Hadoop Architecture
- Introduction to Big Data and Fundamental Concepts
- Introduction to Hadoop and HDFS
- Introduction to Apache Spark
- Data processing with Spark
- Data Analysis with Spark SQL
- Visualisation of Data with Table
- Governance and Data Security in Big Data
- Data Integration and Practical Project
Training assets
Pedagogical approach alternating theory and practice.
Qualified trainers with experience in Big Data.
Access to modern educational resources and tools.
Training open to all, without advanced technical prerequisites.
Pedagogical methods and tools used
Live demonstrations on Big Data services (Hadoop, Spark).
Real case studies and practical group work.
Integration simulations and massive data transformation.
Feedback on the challenges faced in real projects.
Evaluation
The evaluation shall be carried out in the form of:
- QCM to test the understanding of concepts.
- Practical case studies to apply knowledge.
- Ongoing evaluation during practical sessions.
Normative References
ISO/IEC 27001:Information security management.
GDPR:General Regulation on the protection of personal data (EU).
ISO 22301:Management of business continuity.
SOC 2:Criteria for security, availability and confidentiality in cloud services.