CYB 304 — INFORMATION AND BIG DATA SECURITY

About this course

CYB 304 INFORMATION AND BIG DATA SECURITY is a 300 Level course in the Cyber Security department, taught in the Second Semester. On La-Net Hub you can watch all 15 recorded lectures for free, grouped into 5 series, read the course lecture note online or download it as a PDF, and test yourself with practice questions.

Big Data characteristics , technologies , and handling techniques form the backbone of modern data-driven systems. Big Data is defined by its “3Vs” — volume (massive amounts of data), velocity (speed of data generation and processing), and variety (different formats like text, images, and sensor data), often extended to include veracity (data accuracy) and value (usefulness). To manage these complexities, technologies such as Hadoop, Spark, NoSQL databases, and cloud platforms provide scalable storage, distributed computing, and real-time analytics. Handling techniques involve data cleaning, integration, and transformation to ensure quality, as well as advanced analytics like machine learning and visualization to extract insights. Together, these elements enable organizations to efficiently process huge datasets, uncover patterns, and make informed decisions while maintaining performance and reliability.

Big Data platforms , skills , adoption , and governance represent the strategic framework for leveraging large-scale data in organizations. Platforms such as Hadoop, Spark, and cloud-based ecosystems provide the infrastructure for storing, processing, and analyzing massive datasets. Effective adoption requires specialized skills in data engineering, analytics, machine learning, and visualization, ensuring that professionals can transform raw data into actionable insights. Governance plays a critical role by establishing policies, standards, and ethical guidelines to manage data quality, privacy, and compliance, while also aligning data initiatives with business objectives. Together, these elements enable organizations to not only harness the power of Big Data but also ensure its responsible use, fostering innovation, efficiency, and trust in data-driven decision-making.

Lectures in this course

Series 1: Big Data Characteristics, Technologies, and Handling Techniques (SERIES 2)

1. Big Data Characteristics, Technologies, and Handling Techniques 1 8 minutes 26 seconds
2. Big Data Characteristics, Technologies, and Handling Techniques 2 8 minutes 24 seconds
3. Big Data Characteristics, Technologies, and Handling Techniques 3 8 minutes 38 seconds

Series 2: Big Data Platforms, Skills, Adoption, and Governance (SERIES 4)

1. Big Data Platforms, Skills, Adoption, and Governance 1 8 minutes 25 seconds
2. Big Data Platforms, Skills, Adoption, and Governance 2 8 minutes 32 seconds
3. Big Data Platforms, Skills, Adoption, and Governance 3 9 minutes 27 seconds

Series 3: Foundation of Big Data and information Security (SERIES 1)

1. Foundation of Big Data and information Security 1 6 minutes 28 seconds
2. Foundation of Big Data and information Security 2 7 minutes
3. Foundation of Big Data and information Security 3 6 minutes 39 seconds

Series 4: Organisational Change , Analytical Tools, and Cloud-Based Big Data Solutions (SERIES 5)

1. Organisational Change , Analytical Tools, and Cloud-Based Big Data Solutions 1 6 minutes 57 seconds
2. Organisational Change , Analytical Tools, and Cloud-Based Big Data Solutions 2 6 minutes 22 seconds
3. Organisational Change , Analytical Tools, and Cloud-Based Big Data Solutions 3 7 minutes 15 seconds

Series 5: Security Policies, Risk Management, and Lifecycle Security (SERIES 3)

1. Security Policies, Risk Management, and Lifecycle Security 1 8 minutes 16 seconds
2. Security Policies, Risk Management, and Lifecycle Security 2 7 minutes 46 seconds
3. Security Policies, Risk Management, and Lifecycle Security 3 8 minutes 27 seconds

Lecture note

Read the full CYB 304 lecture note online or download the PDF.

Open lecture note

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