Internal Audit Training, IT Audit Training Courses, Information Security Training - CPE Interactive

Continuing Professional Education for Audit, Assurance, & Info Security

Course Description

Big Data is the term used to describe our ability to make sense of the ever-increasing volumes of data in the world. Whether you call it big data, analytics, business intelligence or data analysis doesn’t really matter that much. What does matter is that we can now collect and analyze data in ways that wasn’t possible even a few years ago. Big Data is starting to transform most areas of business, industry, research and most other parts of our lives.

The promise and advantages of Big Data require new ways of looking at control, governance, security and processing. Big Data will only continue to increase in importance and criticality as we move more toward the Internet of Things (IoT)

This seminar will provide you with an understanding of Big Data, the security risks, differences between traditional corporate data and Big Data, and how to control and manage it.

Learning Objectives

  • Understand the characteristics and value proposition of Big Data
  • Understand the security advantages and disadvantages
  • Identify the top security risks
  • Describe the use and advantage of the Hadoop processing platform
  • Identify control issues with Big Data
  • Describe the top technical challenges with the use of Big Data

Course Outline

What is Big Data?

  • General Concepts
  • Characteristics of Big Data
    • Volume
    • Velocity
    • Variety
    • Veracity
    • Variability
  • Structured and Unstructured Data, Big Data Taxonomies
  • Databases and the Relational Model
  • Data Warehouses and Data Marts
  • Tradeoffs between Big Data and “Traditional Data”

Data Analytics, Data Mining and Business Intelligence

  • What are Data Analytics, Data Mining, and BI?
  • Big Data uses

Big Data Value Proposition

  • Horizontal and Vertical Apps
  • Who’s collecting Big Data?
  • Big Data and the Cloud – Internet of Things (IOT)
  • Big Data and mobility
  • Big Data in Use: Enterprises, healthcare, not-for-profit, government, election campaigns, legal discovery, video

Big Data and Hadoop Infrastructure

  • Hadoop and the “Community”
  • NoSQL Databases

The Four Critical Aspects of Big Data Management

  • Data Quality
  • Data Life Cycle and Stewardship
  • Process and Data Auditing
  • Access Security

Top 5 Technical Challenges
Top 10 Security challenges
Big Data Control Issues

  • Data governance and policy
  • Data risk management
  • Life cycle management
  • Stewardship
  • Data privacy
  • Audit and compliance: State, Federal, International Data Security and Breach Notification Act of 2015

Big Data Security Issues

  • Access and change controls
  • Real-time monitoring
  • Data loss/leak prevention
  • Data protection: masking, anonymization, encryption
  • Backup and recoverability

Big Data Security Model

  • Big Data Maturity model
  • Find & Classify; Assess & Harden; Monitor & Audit; Enforce & Protect

Additional Information

Who Should Attend
  • Information security professionals
  • Internal control professionals
  • IT and operational auditors
  • Risk managers
Learning Level

Intermediate

Delivery

Group-Live

Field

Auditing

Advanced Preparation

None

Recommended Prerequisites

A good understanding of information security and IT audit controls, and associated terminology

Session Duration

Online: N/A

On Site: 1 day

CPE Credits: 8