Bill Havanki - Moving Apache Hadoop to the Cloud
Here you can read online Bill Havanki - Moving Apache Hadoop to the Cloud full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2017, publisher: OReilly Media, genre: Politics. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:
Romance novel
Science fiction
Adventure
Detective
Science
History
Home and family
Prose
Art
Politics
Computer
Non-fiction
Religion
Business
Children
Humor
Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.
- Book:Moving Apache Hadoop to the Cloud
- Author:
- Publisher:OReilly Media
- Genre:
- Year:2017
- Rating:3 / 5
- Favourites:Add to favourites
- Your mark:
Moving Apache Hadoop to the Cloud: summary, description and annotation
We offer to read an annotation, description, summary or preface (depends on what the author of the book "Moving Apache Hadoop to the Cloud" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.
But installing a Hadoop cluster on a public cloud service is not as straightforward as it may appear. This practical book shows you how to install these clusters in a way that harmonizes with public cloud service features, and examine ways to use and manage them efficiently.
You ll learn how to architect clusters in a way that works with the features of the provider, not only to avoid potential pitfalls, but also to take full advantage of what the services can do. A cluster installed in a suboptimal fashion will run slower and cost more than expected, which can defeat the goals of moving to the service in the first place.
Bill Havanki: author's other books
Who wrote Moving Apache Hadoop to the Cloud? Find out the surname, the name of the author of the book and a list of all author's works by series.
Moving Apache Hadoop to the Cloud — read online for free the complete book (whole text) full work
Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Moving Apache Hadoop to the Cloud" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.
Font size:
Interval:
Bookmark:
by Bill Havanki
Copyright 2016 Bill Havanki Jr.. All rights reserved.
Printed in the United States of America.
Published by OReilly Media, Inc. , 1005 Gravenstein Highway North, Sebastopol, CA 95472.
OReilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles ( http://safaribooksonline.com ). For more information, contact our corporate/institutional sales department: 800-998-9938 or corporate@oreilly.com .
- Editor: Marie Beaugureau
- Production Editor: FILL IN PRODUCTION EDITOR
- Copyeditor: FILL IN COPYEDITOR
- Proofreader: FILL IN PROOFREADER
- Indexer: FILL IN INDEXER
- Interior Designer: David Futato
- Cover Designer: Karen Montgomery
- Illustrator: Rebecca Demarest
- November 2016: First Edition
- 2016-11-14: First Early Release
- 2016-12-21: Second Early Release
See http://oreilly.com/catalog/errata.csp?isbn=9781491959619 for release details.
The OReilly logo is a registered trademark of OReilly Media, Inc. Deploying Apache Hadoop in the Cloud, the cover image, and related trade dress are trademarks of OReilly Media, Inc.
While the publisher and the author(s) have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the author(s) disclaim all responsibility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technology this work contains or describes is subject to open source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights.
978-1-491-95961-9
[FILL IN]
Before embarking on a new technical effort, its important to understand what problems youre trying to solve with it. Hot new technologies come and go in the span of a few years, and it should take more than popularity to make one worth trying. The short span of computing history is littered with ideas and technologies that were once considered the future of their domains, but just didnt work out.
Apache Hadoop is a technology that has survived its initial rush of popularity by proving itself as an effective and powerful framework for tackling big data applications. It broke from many of its predecessors in the computing at scale space by being designed to run in a distributed fashion across large amounts of commodity hardware instead of few, expensive computers. Many organizations have come to rely on Hadoop for dealing with the ever-increasing quantities of data that they gather. Today, it is clear what problems Hadoop can solve.
Cloud computing, on the other hand, is still a newcomer as of this writing. The term itself, cloud, currently has a somewhat mystical connotation, often meaning different things to different people. What is the cloud made of? Where is it? What does it do? Most importantly, why would you use it?
A definition for what the cloud means for this book can be built up from a few underlying concepts and ideas.
First, a cloud is made up of computing resources, which encompasses everything from computers themselves (or instances in cloud terminology) to networks to storage and everything in between and around them. All that you would normally need to put together the equivalent of a server room, or even a full-blown data center, is in place and ready to be claimed, configured, and run.
The entity providing these computing resources is called a cloud provider. The most famous ones are companies like Amazon, Microsoft, and Google, and this book focuses on the clouds offered by these three. Their clouds can be called public clouds because they are available to the general public; you use computing resources that are shared, in secure ways, with many other people. In contrast, private clouds are run internally by (usually large) organizations.
While private clouds can work much like public ones, they are not explicitly covered in this book. You will find, though, that the basic concepts are mostly the same across cloud providers, whether public or private.
The resources that are available to you in the cloud are not just for you to use, but also to control. This means that you can start and stop instances when you want, and connect the instances together and to the outside world how you want. You can use just a small amount of resources or a huge amount, or anywhere in between. Advanced features from the provider are at your command for managing storage, performance, availability and more. The cloud provider gives you the building blocks, but it is up to you to know how to arrange them for your needs.
Finally, you are free to use cloud provider resources for whatever you wish, within some limitations. There are quotas applied to cloud provider accounts, although these can be negotiated over time. There are also large, hard limits based on the capacity of the provider itself which you can run into. Beyond these somewhat physical limitations, there are legal and data security requirements, which can come from your own organization as well as the cloud provider. In general, as long as you are not abusing the cloud providers offerings, you can do what you want. In this book, that means installing and running Hadoop clusters.
Having covered some underlying concepts, here is a definition for the cloud that this book builds from.
The cloud is a large set of computing resources made available by a cloud provider for customers to use and control for general purposes.
Now that the term cloud has been defined, its easy to understand what the jargony phrase Hadoop in the cloud means: it is running Hadoop clusters on resources offered by a cloud provider. This practice is normally compared with running Hadoop clusters on your own hardware, called on-premises clusters or on-prem.
If you are already familiar with running Hadoop clusters on-prem, you will find that a lot of your knowledge and practices carry over to the cloud. After all, a cloud instance is supposed to act almost exactly like an ordinary server you connect to remotely, with root access, and some number of CPU cores, and some amount of disk space, and so on. Once instances are networked together properly and made accessible, you can imagine that they are running in a regular data center, as opposed to a cloud providers own data center. This illusion is intentional, so that working in a cloud provider feels familiar, and your skills still apply.
That doesnt mean theres nothing new to learn, or that the abstraction is complete. A cloud provider does not do everything for you; there are many choices and a variety of provider features to understand and consider, so that you can build not only a functioning system, but a functioning system of Hadoop clusters. Cloud providers also include features that go beyond what you can do on-prem, and Hadoop clusters can benefit from those as well.
Mature Hadoop clusters rarely run in isolation. Supporting resources around them manage data flow in and out and host specialized tools, applications backed by the clusters, and non-Hadoop servers, among other things. The supporting cast can also run in the cloud, or else dedicated networking features can help to bring them close.
Font size:
Interval:
Bookmark:
Similar books «Moving Apache Hadoop to the Cloud»
Look at similar books to Moving Apache Hadoop to the Cloud. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.
Discussion, reviews of the book Moving Apache Hadoop to the Cloud and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.