December 2013
Beginner to intermediate
288 pages
7h 18m
English
Content preview from Business Analytics
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Chapter 5
Big Data Analytics for Business Intelligence
Onur Savas, Tung Thanh Nguyen, and Julia Deng
Learning Objectives
In this chapter, we discuss the fundamentals of Big Data analytics for business intelligence (BI). We first describe what Big Data is, why Big Data analytics is important for BI, what data science is, and who a data scientist is. We then discuss emerging Big Data analytics frameworks with an emphasis on cloud computing and the Hadoop ecosystem, and we discuss two important applications, online targeted advertising and recommendation systems. At the end of this chapter, we will have answered the following questions:
- What is Big Data and why does it matter for business intelligence?
- What challenges does Big Data present?
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.