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Big Data Security Training - eLearning
Cyber Security

Big Data Security Training - eLearning

450,00 EUR

  • 25 hours
eLearning

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.

Hero

Course timeline

  1. 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?

  2. Data Security - Privacy Standards and Regulations

    Lesson 02

    • Frameworks ISO / NIST / GAPP
    • Industry Specific Regulations
    • Jurisdiction Specific Regulations
    • Enterprise Deliverables

  3. Threat Sources and Types

    Lesson 03

    • Internal Threat
    • External Threats
    • Forms of Attack and How to Overcome

  4. Security Concepts

    Lesson 04

    • Identity and Access Management
    • Firewall, Central, Decentral, Differential Privacy

  5. Data Understanding and Governance

    Lesson 05

    • Data Governance
    • Data Classification
    • Data Catalog
    • Data Lineage

  6. Big Data Pipeline

    Lesson 06

    • Big Data Architecture
    • Big Data Vulnerabilities
    • Encryption in Motion
    • Pipeline Architecture

  7. Big Data Storage

    Lesson 07

    • Encryption at rest
    • Data Lake Warehouse
    • Data Fabric Virtualization
    • Backup Archive
    • Obfuscation Anonymization

  8. Big Data End User Access

    Lesson 08

    • Big Data End user Access
    • User Profile Combined
    • Data Loss Prevention

  9. Using Big Data to Combat Threats

    Lesson 09

    • Detecting Threats
    • Graphs Databases

  10. 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
Big Data Security Training

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

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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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