Big Data Security Training - eLearning
450,00 EUR
- 25 hours
Strengthen your data protection expertise with the Big Data Security course, designed to help you safeguard large-scale data environments in today’s digital-first world. As organizations increasingly rely on big data systems, securing sensitive information has become critical to preventing breaches, ensuring compliance, and maintaining trust.
Key Features
Language
Course and material in English
Level
Beginner - Intermediate level
Access
1 Year access to the learning platform
9 Hours of On-Demand Videos
with 25+ hours recommended study time
38 Guided Hands-on Exercises
13 Auto-Graded Assessments
33 Recall Quizzes
3 Real-world projects
Certificate
Program completion certification included
Learning Outcomes
At the end of this Course, you will be able to understand:
Fundamentals
Gain a solid understanding of Big Data fundamentals and its growing significance in the modern digital world.
Security
Learn about the security, privacy, compliance standards, regulations, and frameworks that govern Big Data environments.
Threats
Recognize common Big Data threats and vulnerabilities, and discover practical approaches to mitigate security risks.
IAM
Understand essential security concepts, including identity and access management (IAM) and various firewall architectures.
Governance
Build knowledge of data governance, data cataloging, and data management practices to maintain data quality and control.
Secure
Learn how to secure Big Data ecosystems by implementing data pipelines, storage solutions, and user access controls.
Course timeline
Introduction
Lesson 01
- What is Big Data?
- Why is Big Data Important?
- What are Data Security and Privacy?
- Why are Big Data Security and Privacy Important?
Data Security - Privacy Standards and Regulations
Lesson 02
- Frameworks ISO / NIST / GAPP
- Industry Specific Regulations
- Jurisdiction Specific Regulations
- Enterprise Deliverables
Threat Sources and Types
Lesson 03
- Internal Threat
- External Threats
- Forms of Attack and How to Overcome
Security Concepts
Lesson 04
- Identity and Access Management
- Firewall, Central, Decentral, Differential Privacy
Data Understanding and Governance
Lesson 05
- Data Governance
- Data Classification
- Data Catalog
- Data Lineage
Big Data Pipeline
Lesson 06
- Big Data Architecture
- Big Data Vulnerabilities
- Encryption in Motion
- Pipeline Architecture
Big Data Storage
Lesson 07
- Encryption at rest
- Data Lake Warehouse
- Data Fabric Virtualization
- Backup Archive
- Obfuscation Anonymization
Big Data End User Access
Lesson 08
- Big Data End user Access
- User Profile Combined
- Data Loss Prevention
Using Big Data to Combat Threats
Lesson 09
- Detecting Threats
- Graphs Databases
Big Data Security and Privacy Implementation
Lesson 10
- Initiating and Staffing Big Data Projects
- Security and Privacy Risk and Gap Assessment
- Protection, Detection and Response
- Logging and Monitoring
- Remediation and Proactive Cybersecurity
Who Should Enroll in This Program?
Data Engineers and Big Data Professionals
Data Architects seeking to implement secure and compliant Big Data infrastructures
Cybersecurity and Information Security Professionals
Database Administrators and System Administrators
Cloud Engineers and Cloud Architects working with Big Data solutions
Software Developers and Application Engineers building data-intensive applications
Prerequisites
- Basic understanding of databases and data management concepts.
- Familiarity with Big Data technologies such as Hadoop, Spark, or cloud-based data platforms.
- General knowledge of networking, operating systems, and information security principles.
- Experience working with data analytics, data engineering, or IT infrastructure environments
Statements
Licensing and accreditation
This course is offered according to Partner Program Agreement and complies with the License Agreement requirements
Equity Policy
Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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