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.
Preface
I wrote this book to get over a failed project and to ensure that others do not repeat my mistakes. In this book, I draw from and reflect upon my experience building analytics applications at two Hadoop shops.
Agile Data Science has three goals: to provide a how-to guide for building analytics applications with big data using Hadoop; to help teams collaborate on big data projects in an agile manner; and to give structure to the practice of applying Agile Big Data analytics in a way that advances the field.
Who This Book Is For
Agile Data Science is a course to help big data beginners and budding data scientists to become productive members of data science and analytics teams. It aims to help engineers, analysts, and data scientists work with big data in an agile way using Hadoop. It introduces an agile methodology well suited for big data.
This book is targeted at programmers with some exposure to developing software and working with data. Designers and product managers might particularly enjoy Chapters 1, 2, and 5, which would serve as an introduction to the agile process without an excessive focus on running code.
Agile Data Science assumes you are working in a *nix environment. Examples for Windows users aren’t available, but are possible via Cygwin. A user-contributed Linux Vagrant image with all the prerequisites installed is available here. You can quickly boot a Linux machine in VirtualBox using this tool.
How This Book Is Organized
This book is organized into two sections. ...
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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.