Ebook Getting Started with Amazon Redshift, by Stefan Bauer
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Getting Started with Amazon Redshift, by Stefan Bauer
Ebook Getting Started with Amazon Redshift, by Stefan Bauer
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Start by learning the fundamentals and then progress to creating and managing your own Redshift cluster. This guide walks you step-by-step through the world of 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 author's 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 Redshift's 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.
- Sales Rank: #710698 in Books
- Published on: 2013-06-14
- Released on: 2013-06-14
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .35" w x 7.50" l, .61 pounds
- Binding: Paperback
- 154 pages
About the Author
Stefan Bauer
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.
Most helpful customer reviews
5 of 5 people found the following review helpful.
More than a glossy review..
By Alan Williamson
Amazon have done it again and set the bar extremely high with their initial warehouse-in-the-cloud offering. RedShift has delivered a product at a price point that will leave many an enterprise wondering why they have just signed that 6 figure purchase order to Microsoft/Oracle or IBM.
This book is a fantastic overview on Redshift and the power it can bring.
Beautifully articulated, taking the reader through the whole process from initial cluster creation, to data loading, querying and monitoring (he labored on that one quite a bit).
There is a great piece on the different types of compression that I found interesting and while I know most of them, I haven't read them explained in such an easy to understand way before.
4 of 4 people found the following review helpful.
Practical Introduction to Amazon Redshift
By Hank
Stefan Bauer's Getting Started with Amazon Redshift is a practical introduction into how you might use Amazon Redshift. Although not exactly a step-by-step how-to tutorial, Bauer delivers plenty of details on what you need to do, how you should do it and why you should consider what you are about to do. If you want someone to hold your hand so you can claim you used Redshift, this book might not meet your needs. If you already have some data management experience, you will appreciate Bauer sharing his challenges and excitement with Amazon Redshift's powerful capabilities.
Bauer's explanation for why a columnar database matters is the best I ever read. His conversational style makes this book easy to read and understand. He balances the existing strengths of Amazon Redshift with the rapidly evolving enhancements and tool partnerships. His description of his day-to-day experiences delivers far more value than any sales demonstration.
I learned a lot from this book and recommended it to my colleagues. If you are interested in the practical usage of Amazon Redshift, I also recommend this book to you.
2 of 2 people found the following review helpful.
A talkative coverage of Amazon Redshift
By John Rotenstein
All of the official documentation for Redshift is available for free from Amazon, so this book is not attempting to be an official user manual for Redshift. Rather, it is passing information to the reader in a friendly manner, with additional commentary on how things differ from other systems on the market. This is helpful, since the official documentation focuses more on what Redshift does, while this book also highlights what it doesn't do (such as unsupported SQL commands). The book also makes it easier to come up-to-speed with Redshift because it is being explained by someone who has already had to 'climb the learning curve' and is now explaining this in a less-formal manner, with frequent emphasis on difficult or 'different than normal' topics.
The author's style is informal and friendly, but sometimes overly talkative. For example, there are some paragraphs that occupy a whole page and sound like they were written for a blog, without much formal editing. Many concepts are thrown in without a lot of background, so it may be difficult for somebody without much previous experience in databases and data warehousing, but the typical reader who is interested in learning about Redshift probably comes from such a background anyway.
If you're looking to learn Redshift and you've found the official documentation a bit dry or difficult, then this book will give you similar information in a friendly and more 'personal' manner. Please note that, as an online product, new features are continually being added to Redshift so some portions of this book are already outdated.
Here's a quick outline of the book:
CHAPTER 1: OVERVIEW
The book begins with a fairly informal chat about Redshift, its pricing and how it will likely affect the Data Warehouse marketplace.
CHAPTER 2: TRANSITION TO REDSHIFT
This chapter talks through the creation of a Redshift cluster and then gets down into technical detail, showing what standard SQL functions are NOT supported by Redshift. It also covers accessing Redshift via command-line and via SQL tools.
CHAPTER 3: LOADING YOUR DATA INTO REDSHIFT
As the author says, "this is where the fun starts". Topics include schema and table creation, loading data from Amazon S3 (which was the only method available at the time of publishing), plus a bit on performance monitoring and tips on optimising table design (using Redshift's Sort and Distribution Keys). Truth be told, data loading is where typical Redshift users end up spending most of their time.
CHAPTER 4: MANAGING YOUR DATA
This covers snapshots, resizing, vacuuming of tables and workload management (which is the low-level management of job queues). These topics are important once your cluster is up and running and you'd like to improve performance or move into 'production' mode for your system.
CHAPTER 5: QUERYING DATA
Not so much a lesson in SQL, but rather information for people already familiar with SQL but considering a move to Redshift. Special tables and the EXPLAIN command are covered, plus tips on JOINs, INSERTs, etc. You won't learn data warehousing from this chapter, but if you're familiar with an existing system then you'll come to understand the subtle differences with Redshift. Some SQL code samples are included in this chapter.
CHAPTER 6: BEST PRACTICES
This final chapter is a random collection of remaining topics such as security and monitoring
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