Business Intelligence: A Managerial Perspective on Analytics(3rd Edition) INTELLIGENCE A Managerial Perspective on Analytics Chapter 6: Big Data and Analytics EFRAUTI RRAN
Chapter 6: Big Data and Analytics Business Intelligence: A Managerial Perspective on Analytics (3rd Edition)
Learning Objectives Learn what Big Data is and how it is changing the world of analytics Understand the motivation for and business drivers of Big Data analytics Become familiar with the wide range of enabling technologies for Big Data analytics Learn about Hadoop, MapReduce, and NosQL as they relate to Big data analytics Understand the role of and capabilities/skills for data scientist as a new analytics profession Continued.) Copynight@ 2014 Pearson Education, Inc Slide 6-2
Copyright © 2014 Pearson Education, Inc. Slide 6 - 2 Learning Objectives ▪ Learn what Big Data is and how it is changing the world of analytics ▪ Understand the motivation for and business drivers of Big Data analytics ▪ Become familiar with the wide range of enabling technologies for Big Data analytics ▪ Learn about Hadoop, MapReduce, and NoSQL as they relate to Big Data analytics ▪ Understand the role of and capabilities/skills for data scientist as a new analytics profession (Continued…)
Learning Objectives Compare and contrast the complementary uses of data warehousing and Big Data Become familiar with the vendors of Big data tools and services Understand the need for and appreciate the capabilities of stream analytics Learn about the applications of stream analytics Copynight@ 2014 Pearson Education, Inc Slide 6-3
Copyright © 2014 Pearson Education, Inc. Slide 6 - 3 Learning Objectives ▪ Compare and contrast the complementary uses of data warehousing and Big Data ▪ Become familiar with the vendors of Big Data tools and services ▪ Understand the need for and appreciate the capabilities of stream analytics ▪ Learn about the applications of stream analytics
Opening Vignette Big Data Meets Big Science at CERN Situation Problem Solution Results Answer discuss the case questions Copynight@ 2014 Pearson Education, Inc Slide 6-4
Copyright © 2014 Pearson Education, Inc. Slide 6 - 4 Opening Vignette… Big Data Meets Big Science at CERN ▪ Situation ▪ Problem ▪ Solution ▪ Results ▪ Answer & discuss the case questions
Questions for the Opening Vignette What iS CERN, and why is it important to the world of science? How does the Large Hadron Collider work? What does it produce? What is the essence of the data challenge at CERN? How significant is it? What was the solution? How were the Big data challenges addressed with this solution? What were the results? Do you think the current solution is sufficient? Copynight@ 2014 Pearson Education, Inc Slide 6-5
Copyright © 2014 Pearson Education, Inc. Slide 6 - 5 Questions for the Opening Vignette ▪ What is CERN, and why is it important to the world of science? ▪ How does the Large Hadron Collider work? What does it produce? ▪ What is the essence of the data challenge at CERN? How significant is it? ▪ What was the solution? How were the Big Data challenges addressed with this solution? ▪ What were the results? Do you think the current solution is sufficient?