Discover the implementation of Big Data solutions
in company through the use of tools like Hadoop,
Apache Spark, Kafka and distributed architectures. !
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 prepares you to design, deploy and optimize Big Data architectures. You will learn how to use advanced tools and technologies, including Hadoop, Spark, and Kafka, while studying scalable and secure solutions tailored to your company's needs.
Objectives of training
- Understand the role of each technology in a Big Data environment.
- Develop scalable and secure solutions.
- Mastering the integration of distributed systems into Big Data architectures.
- Implement effective data pipelines with Apache Kafka.
- Optimize the performance of massive data processing systems.
Who is this training for?
The "Design and Implementation of a Big Data Solution" training is aimed at:
- IT Architects and Cloud Infrastructure.
- Developers with experience in distributed systems.
- Project managers in digital transformation.
- Data and cloud computing consultants.
Prerequisites
Knowledge of databases and distributed systems.
Programme
Big Data Architecture and Hadoop
- Understand the needs of Big Data architecture.
- Introduction to Hadoop and its ecosystem.
- Introduction to Apache Spark.
- RDD and DataFrames with Spark.
- Kafka architecture and Kafka Streams usage.
- Creation of data pipelines for ingestion.
- Integration of data security and confidentiality.
- Best practices and challenges in Big Data implementations.
Training assets
Practical training with real market tools.
Expert support from Big Data.
Comprehensive and open training for professionals from all sectors.
Concrete solutions tailored to your business needs.
Pedagogical methods and tools used
Interactive courses with real-time demonstrations.
Practical case studies and real problem solving.
Workshop sessions for the implementation of solutions on Big Data platforms.
Evaluation
Evaluation by practical projects and tests on the various technologies addressed during the training:
- MCQ to assess theoretical knowledge.
- Practical evaluation with implementation of a Big Data architecture.
- Case study to assess the integration of tools into a complete solution.
Normative References
ISO/IEC 27001:Management of information system security.
ISO/IEC 19941:Architecture and security of Big Data solutions.