October 2013
Beginner to intermediate
175 pages
3h 53m
English
Content preview from Agile Data ScienceBecome 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,
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.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.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.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.
Chapter 3. Agile Tools
This chapter will briefly introduce our software stack. This stack is optimized for our process. By the end of this chapter, you’ll be collecting, storing, processing, publishing, and decorating data. Our stack enables one person to do all of this, to go “full stack.” We’ll cover a lot, and quickly, but don’t worry: I will continue to demonstrate this software stack in Chapters 5 through 10. You need only understand the basics now; you will get more comfortable later.
We begin with instructions for running our stack in local mode on your own machine. In the next chapter, you’ll learn how to scale this same stack in the cloud via Amazon Web Services. Let’s get started.
Code examples for this chapter are available at https://github.com/rjurney/Agile_Data_Code/tree/master/ch03. Clone the repository and follow along!
git clone https://github.com/rujrney/Agile_Data_Code.git
Scalability = Simplicity
As NoSQL tools like Hadoop, MongoDB, data science, and big data have developed, much focus has been placed on the plumbing of analytics applications. This book teaches you to build applications that use such infrastructure. We will take this plumbing for granted and build applications that depend on it. Thus, this book devotes only two chapters to infrastructure: one on introducing our development tools, and the other on scaling them up in the cloud to match our data’s scale.
In choosing our tools, we seek linear scalability, but above all, we seek simplicity. While the concurrent ...
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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.