This intensive three-day training course provides a comprehensive understanding of the challenges associated with big data and data security. It covers big data architectures, the risks associated with managing massive amounts of data, current regulations (Bill 25, ISO 27001), and best practices in governance and data protection. Hands-on workshops allow participants to apply the concepts to real-world scenarios.
Objectives
The objective is to understand the fundamentals of Big Data and its impact on security, identify the risks associated with data, master regulatory frameworks such as the Bill 25 and ISO 27001, and learn how to implement security, governance, and access control policies tailored to Big Data environments.
Is it for you ?
IT recruiters, security or compliance managers, data analysts/data engineers, IT project managers, HR managers involved in data management
Prerequisite
• Basic knowledge of information systems or cybersecurity. • Awareness of personal data protection issues. • Experience in an IT or HR environment.
Your benefits
Content
Big Data Fundamentals
1: Introduction to Big Data
- Definition and characteristics (Volume, Velocity, Variety, etc.)
- Use cases in businesses
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2: Big Data Architecture
- Hadoop, Spark, NoSQL
- Distributed storage and parallel processing
3: Security issues in Big Data environments
- Specific vulnerabilities
- Complexity of access management
Workshop 1: Mapping data flows in a Big Data architecture
Data security and compliance
4: Regulatory frameworks
- Law 25: principles, corporate obligations, consent, transparency, right to be forgotten, incident notification
- ISO 27001: security requirements
- Comparative overview with other North American frameworks (e.g., PIPEDA at the Canadian federal level)
5: Data governance
- Roles and responsibilities
- Data classification policy
- Data lifecycle management
Workshop 2: Assessing compliance with Law 25 using a fictional case study (internal audit simulation, identification of discrepancies, corrective action plan)
Implementation and best practices
6: Securing Big Data environments
- Data encryption
- Authentication and access control
- API and interface security
7: Monitoring and auditing
- Monitoring tools
- Anomaly detection
- Data security audit
Workshop 3: Implementing a security plan for a Big Data platform (including Act 25 requirements: impact assessment, technical and organizational measures, subcontractor management)
💡 Useful information
Our training sessions are offered in Montreal or Quebec City, in person or in virtual format. Dates and locations are provided when you select your session below. If you have any questions regarding registration, schedules, the language of instruction, or cancellation policies, please consult our FAQ .
Trainers
Private or personalized training
Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.
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