Mastery of Data and Big Data:
Fundamentals and Advanced Techniques
Dive into advanced Big Data techniques!
CPF-eligible and several funding options up to 100%
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Experience an immersive and intensive training program designed to immerse you in hands-on workshops and real case studies.
Learn by doing, and develop concrete skills directly applicable to your future projects.
At the end of your journey, we assess the skills you have acquired, issue a certification attesting to your expertise, and support you to ensure success in your professional projects.
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Course Description
This course will enable you to master the foundational concepts and advanced techniques of Big Data. You will explore the Hadoop architecture, large-scale data processing with Apache Spark, data visualization, and governance management in a Big Data environment.
Learning Objectives
The course objectives are :
- Understand the key Big Data concepts (the 5 Vs) and its ecosystem.
- Master the Hadoop architecture to manage and process large volumes of data.
- Use Apache Spark to manipulate RDDs and DataFrames and perform distributed computations.
- Analyze and query massive datasets with Spark SQL.
- Visualize data with Tableau.
- Apply governance, security, and data quality concepts in a Big Data environment.
- Integrate data using tools such as Apache NiFi or Talend and build ETL pipelines.
- Understand standards and regulations (e.g., GDPR) related to data management.
Who is this course for?
The "Mastering Data and Big Data" course is intended for:
- IT professionals: Developers, system administrators, architects.
- Data analysts, data scientists.
- Technical leads (project managers, technical directors/CTOs).
- Companies undergoing digital transformation.
Prerequisites
Basic knowledge of information systems.
Course Syllabus
Introduction to Big Data and the 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
- Data Visualization with Tableau
- Data Governance and Security in Big Data
- Data Integration and Practical Project
Course Highlights
A pedagogical approach alternating theory and practice.
Qualified instructors with hands-on Big Data experience.
Access to modern educational resources and tools.
Course open to all, no advanced technical prerequisites.
Teaching Methods and Tools
Live demonstrations on Big Data services (Hadoop, Spark).
Real case studies and group practical work.
Simulations of integration and transformation of massive datasets.
Feedback on challenges encountered in real projects.
Assessment
Assessment is conducted in the form of:
- Multiple-choice quizzes (MCQs) to test understanding of concepts.
- Practical case studies to apply knowledge.
- Ongoing assessment during practical sessions.
Normative References
ISO/IEC 27001 : Information security management.
GDPR : General Data Protection Regulation (EU).
ISO 22301 : Business continuity management.
SOC 2 : Criteria for security, availability, and confidentiality in cloud services.
Modalities
In-house training
Duration and program can be customized according to your company's specific needs
More details Contact us