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 ObjectivesUnderstand the characteristics and value proposition of Big DataUnderstand the security advantages and disadvantagesIdentify the top security risksDescribe the use and advantage of the Hadoop processing platformIdentify control issues with Big DataDescribe the top technical challenges with the use of Big DataDefine uses of Big Data in the auditing functionCourse OutlineWhat 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 usesBig 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, videoBig Data and Hadoop Infrastructure- Hadoop and the “Community”- NoSQL DatabasesThe Four Critical Aspects of Big Data Management- Data Quality- Data Life Cycle and Stewardship- Process and Data Auditing- Access SecurityTop 5 Technical ChallengesTop 10 Security challengesBig 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 2015Big Data Security Issues- Access and change controls- Real-time monitoring- Data loss/leak prevention- Data protection: masking, anonymization, encryptionBackup and recoverabilityBig Data Security Model- Big Data Maturity model- Find & Classify; Assess & Harden; Monitor & Audit; Enforce & ProtectBig Data as an Audit Tool- A risk and assurance model with Big Data- A security data warehouse- Using Big data to free up audit resources- Data mining as a financial audit toolWho Should AttendInformation security professionalsInternal control professionalsIT and operational auditorsRisk managers
Monday, January 23, 2017 8:30 AM - 4:00 PM
Ernst & Young LLP200 Clarendon Street23rd FloorBoston, Massachusetts 02116USA
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