February 2017
Beginner to intermediate
304 pages
6h 3m
English
Content preview from Big Data VisualizationBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Summary
In this chapter, we provided the reader with a high-level definition of Hadoop, including some fun Hadoop FAQs. We mentioned that simply reaching MS Excel limitations doesn't mean that you are actually dealing with big data and used simple examples of R programming scripts to actually manipulate and visualize that same data that would not load in Excel to prove that point.
We then introduced the Amazon AWS environment as a simple, affordable, yet robust solution for leveraging the technology and power of Hadoop. We stepped through the process configuring that environment for our use, uploading our multiple web log files to it, and then used Hive and its query language (HiveQL) to access and manipulate that data to accomplish the same objectives ...
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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.