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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Chapter 7. Big Data with Python
With the advent of cloud computing technologies, big data has become increasingly commonplace. What is big data exactly and how can you work with big data to gather useful information? How different is big data from the kind of data we come across everyday? This chapter will specifically answer these questions and introduce you to the use of big data in finance. Big data tools provide the scalability and reliability of analyzing large volumes of data coming from multiple sources. In meeting these big data needs, Apache Hadoop became the primary choice for financial institutions and enterprises. As such, it is crucial for financial engineers to be familiar with Hadoop for financial applications.
As we begin to process ...
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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.