Stefan Bauer - Getting Started with Amazon Redshift
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Enter the exciting world of Amazon Redshift for big data, cloud computing, and scalable data warehousing
Overview
- Step-by-step instructions to create and manage your Redshift cluster
- Understand the technology behind the database engine, as you learn about compression, block level storage, and column stores
- Learn the implementation and database design considerations you will need to understand to successfully implement your own Amazon Redshift cluster
In Detail
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service. It provides an excellent approach to analyzing all your data using your existing business intelligence tools.
Getting Started With Amazon Redshift is an easy-to-read, descriptive guide that breaks down the complex topics of data warehousing and Amazon Redshift. You will learn the fundamentals of Redshift technology and how to implement your own Redshift cluster, through practical, real-world examples. This exciting new technology is a powerful tool in your arsenal of data management and this book is a must-have to implement and manage your next enterprise Data Warehouse.
Packed with detailed descriptions, diagrams, and explanations, Getting Started With Amazon Redshift will bring you along, regardless of your current level of understanding, to a point where you will feel comfortable with running your own Redshift cluster. The authors own experiences will give you an understanding of what you will need to consider when working with your own data. You will also learn about how compression has been implemented and what that means relative to a column store database structure. As you progress, you will gain an understanding of monitoring techniques, performance considerations, and what it will take to successfully run your Amazon Redshift cluster on a day-to-day basis. There truly is something in this book for everyone who is interested in learning about this technology.
What you will learn from this book
- Provision your own Redshift cluster
- Connect third party tools and software to your Redshift cluster
- Load data using Redshifts copy tools and manage your data files
- Manage queries through the implementation of Workload Management
- Gain an understanding of the underlying architecture, everything from a detailed view of compression, to column store block-level storage
- Resize your cluster and use Redshift scalability to expand and grow with ease as your data storage needs grow
Approach
Getting Started With Amazon Redshift is a step-by-step, practical guide to the world of Redshift. Learn to load, manage, and query data on Redshift.
Who this book is written for
This book is for CIOs, enterprise architects, developers, and anyone else who needs to get familiar with RedShift. The CIO will gain an understanding of what their technical staff is working on; the technical implementation personnel will get an in-depth view of the technology, and what it will take to implement their own solutions.
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Copyright 2013 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: June 2013
Production Reference: 1030613
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78217-808-8
www.packtpub.com
Cover Image by Suresh Mogre (<>)
Author
Stefan Bauer
Reviewers
Koichi Fujikawa
Matthew Luu
Masashi Miyazaki
Acquisition Editors
Antony Lowe
Erol Staveley
Commissioning Editor
Sruthi Kutty
Technical Editors
Dennis John
Dominic Pereira
Copy Editors
Insiya Morbiwala
Alfida Paiva
Project Coordinator
Sneha Modi
Proofreader
Maria Gould
Indexer
Tejal Soni
Graphics
Abhinash Sahu
Production Coordinator
Pooja Chiplunkar
Cover Work
Pooja Chiplunkar
Stefan Bauer has worked in business intelligence and data warehousing since the late 1990s on a variety of platforms in a variety of industries. Stefan has worked with most major databases, including Oracle, Informix, SQL Server, and Amazon Redshift as well as other data storage models, such as Hadoop. Stefan provides insight into hardware architecture, database modeling, as well as developing in a variety of ETL and BI tools, including Integration Services, Informatica, Analysis Services, Reporting Services, Pentaho, and others. In addition to traditional development, Stefan enjoys teaching topics on architecture, database administration, and performance tuning. Redshift is a natural extension fit for Stefan's broad understanding of database technologies and how they relate to building enterprise-class data warehouses.
I would like to thank everyone who had a hand in pushing me along in the writing of this book, but most of all, my wife Jodi for the incredible support in making this project possible.
Koichi Fujikawa is a co-founder of Hapyrus a company providing web services that help users to make their big data more valuable on the cloud, and is currently focusing on Amazon Redshift. This company is also an official partner of Amazon Redshift and presents technical solutions to the world.
He has over 12 years of experience as a software engineer and an entrepreneur in the U.S. and Japan.
To review this book, I thank our colleagues in Hapyrus Inc., Lawrence Gryseels and Britt Sanders. Without cooperation from our family, we could not have finished reviewing this book.
Matthew Luu is a recent graduate of the University of California, Santa Cruz. He started working at Hapyrus and has quickly learned all about Amazon Redshift.
I would like to thank my family and friends who continue to support me in all that I do. I would also like to thank the team at Hapyrus for the essential skills they have taught me.
Masashi Miyazaki is a software engineer of Hapyrus Inc. He has been focusing on Amazon Redshift since the end of 2012, and has been developing a web application and Fluent plugins for Hapyrus's FlyData service.
His background is in the Java-based messaging middleware for mission critical systems, iOS application for iPhone and iPad, and Ruby scripting.
His URL address is http://mmasashi.jp/.
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Data warehousing as an industry has been around for quite a number of years now. There have been many evolutions in data modeling, storage, and ultimately the vast variety of tools that the business user now has available to help utilize their quickly growing stores of data. As the industry is moving more towards self service business intelligence solutions for the business user, there are also changes in how data is being stored. Amazon Redshift is one of those "game-changing" changes that is not only driving down the total cost, but also driving up the ability to store even more data to enable even better business decisions to be made. This book will not only help you get started in the traditional "how-to" sense, but also provide background and understanding to enable you to make the best use of the data that you already have.
, Overview , takes an in-depth look at what we will be covering in the book, as well as a look at what Redshift provides at the current Amazon pricing levels.
, Transition to Redshift , provides the details necessary to start your Redshift cluster. We will begin to look at the tools you will use to connect, as well as the kinds of features that are and are not supported in Redshift.
, Loading Your Data to Redshift , will takes you through the steps of creating tables, and the steps necessary to get data loaded into the database.
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