April 2015
Intermediate to advanced
340 pages
7h 21m
English
Content preview from Mastering Python for FinanceBecome 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 were introduced to big data and its uses in finance. Big data tools provide the scalability and reliability of analyzing big data in the area of risk and credit analytics, handling data coming in from multiple sources. Apache Hadoop is one popular tool for financial institutions and enterprises in meeting these big data needs.
Apache Hadoop is an open source framework and written in Java. To help us get started quickly with Hadoop, we downloaded a QuickStart VM from Cloudera that comes with CentOS and Hadoop 2.0 running on VirtualBox. The main components in Hadoop are the HDFS file store, YARN, and MapReduce. We learned about Hadoop by writing a map and reduce program in Python to perform a word count on an e-book. Moving ...
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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.