Lesson 1 - Big Data Fundamentals

Learning objectives

• Define and describe Big Data and its role in the corporate world
• Recognize the phases of development of a Big Data strategy within a corporation
• Explain the rationale underlying a holistic approach to Big Data
• Give examples of Big Data usage in areas such as sensor data, social media, science, and data warehouse augmentation
• Understand why a Big Data Platform is required to gbring together what would otherwise be separate silos of data and analytics
• Identify the importance of data governance for managing Big Data
• Outline the components needed in a Big Data Platform
• Compare and contrast the roles of: data-at-rest processing, data-in-motion processing, data-warehouse processing, and contextual search

Instructions

• Review all the videos provided

Videos

• Lesson 1 - Part 1: Big Data Adoption - Video (12:17)
• Lesson 1 - Part 1: Transcript (PDF)
• Lesson 1 - Part 2: Big Data as a Platform - Video (13:33)
• Lesson 1 - Part 2: Transcript (PDF)
• Lesson 1 - Part 3: Governance for the Big Data Platform - Video (9:35)
• Lesson 1 - Part 3: Transcript (PDF)
• Lesson 1 - Part 4: 5 High Value Big Data Use Cases - Video (24:07)
• Lesson 1 - Part 4: Transcript (PDF)
• Lesson 1 - Part 5: Technical Details of Big Data Components - Video (11:38)
• Lesson 1 - Part 5: Transcript (PDF)
• Lesson 1 - Part 6: Additional Resources - Video (3:25)
• Lesson 1 - Part 6: Transcript (PDF)