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Descriptions du produit

Seven Databases in Seven Weeks Data is getting bigger and more complex by the day, and so are the choices in handling that data. As a modern application developer you need to understand the emerging field of data management, both RDBMS and NoSQL. Seven Databases in Seven Weeks takes you on a tour of some of the hottest open source databases today.


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Détails sur le produit

  • Broché: 352 pages
  • Editeur : O'Reilly (25 mai 2012)
  • Langue : Anglais
  • ISBN-10: 1934356921
  • ISBN-13: 978-1934356920
  • Dimensions du produit: 19 x 2,3 x 23,5 cm
  • Moyenne des commentaires client : 4.5 étoiles sur 5  Voir tous les commentaires (4 commentaires client)
  • Classement des meilleures ventes d'Amazon: 30.873 en Livres anglais et étrangers (Voir les 100 premiers en Livres anglais et étrangers)
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4 internautes sur 5 ont trouvé ce commentaire utile  Par Pierre M. le 7 août 2012
Format: Broché Achat vérifié
Je devrais me mettre à jour au niveau de l'offre et les bases de données NoSQL semble maintenant incontournables. Je voulais savoir si elles pouvaient éventuellement répondre à mes besoins actuels et futurs. Ce livre a répondu à toutes mes questions! J'ai pu apprendre à utiliser 7 bases de données différentes en me familiarisant à leurs spécificités. L'immense avantage de ce livre c'est qu'il part du principe qu'il n'est pas possible d'apprendre sans pratique et aussi et surtout que beaucoup d'entre nous n'ont pas le temps à consacrer à la lecture d'un livre complet. Les auteurs nous encouragent donc à lire une partie du livre tous les jours. Le livre est divisé en semaines, une par base de donnée, puis en 7 jours pour la découvrir. Je le conseille fortement et maintenant que j'ai découvert ce concept, je vais probablement acheter celui sur les langages de programmation.
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Par 4p1C le 3 janvier 2014
Format: Broché Achat vérifié
Pas mal du tout, très accessible. Attention, ce livre nécessite déjà un petit background en systèmes de gestion de bases de données pour être bien apprécié. Le fait d'avoir choisi des logiciels libres est un plus non négligeable.
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Format: Broché Achat vérifié
Great book for a global overview about the emerging streams of NoSQL movement!
It really helps to understand advantages and disadvantages of choosing a NoSQL solution to solve a given issue
Good reading!
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0 internautes sur 1 ont trouvé ce commentaire utile  Par michir le 19 septembre 2014
Format: Broché Achat vérifié
A very good introductory book on NoSQL Database systems. Well written, well explained ... explores all the types of NoSQL systems and what they are suited for!
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91 internautes sur 94 ont trouvé ce commentaire utile 
Smart but easy to read. 25 juin 2012
Par Isaac Chen - Publié sur Amazon.com
Format: Broché Achat vérifié
Usually when I read technical books I feel one of the following:
A. Puzzled that such a book was made since doing a google search is far faster and easier.
B. Recognize that while the book likely makes some great points, the writing only is understandable if you already deeply understand the subject.
C. This must be one of those "guide for idiots" books since reading the book only shows some simple basics you would have figured if you just sat down and used the thing for 5 minutes.
But every once in awhile there is a book that is easy to read, doesn't treat me like an idiot, and actually explains the why and just not the what of the subject matter. When I come across such books, I carry them around, tell friends about them, and frequently re-read the relevant parts when I am coding up something that makes use of the subject matter. This is one of those books.
19 internautes sur 19 ont trouvé ce commentaire utile 
Great information, but distracting at times 2 octobre 2012
Par Justin Bramley - Publié sur Amazon.com
Format: Broché Achat vérifié
There's a lot of good information in here and my eyes have really been opened to the world of NoSQL database solutions and how they compare to the RDBMS world with which I'm much more familiar. The chapters are laid out in a way to show off a lot of the great features, putting you on your feet fast and enabling you to see some of the strengths and weaknesses of the database solutions.

I have two gripes with the book, however. One is that at times, the authors seem to talk more about supporting technologies than the databases themselves. It's nice to see how you can use a SAX-based XML parser with some programming language to load data into the database, but other than the interface to the database itself, it's not wholly relevant to the core topic at hand.

My second gripe is that sometimes the examples feel overly contrived. In the chapter on Riak, for instance there's a comparison of getting counts by style from the database. The method shown for the RDBMS style is something that even if you had only read the chapter on PostgreSQL, you'd know was a terrible way for getting the information. There are a couple of other examples in the book where I found myself saying either, "well, yeah, but nobody in their right mind would actually do it that way," or "OK, that's nice, but how would this work for a real problem?" All that being said, this problem is endemic to introductory material in general and so, while frustrated that it is continued in this book, I don't think it detracts from the book anymore than it detracts from any other introductory reading.
25 internautes sur 27 ont trouvé ce commentaire utile 
Databases for Computational Journalism - Start Here 13 juin 2012
Par Amazon Customer - Publié sur Amazon.com
Format: Broché
To do computational journalism, at least *some* data must be collected, stored, explored, analyzed, cleaned, managed and "governed." In the past few years, the "traditional" tools for doing this, called relational database management systems (RDBMS), have been supplemented by a new class of tools broadly known as "NoSQL" databases. The name NoSQL comes from the most widely used language for dealing with a traditional RDBMS, SQL.

The NoSQL field is rapidly evolving, but enough knowledge exists to fill several books. The best overview of databases for computational journalists I've found so far comes from Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement.

I've been working through the book, which has been available for a few months in beta from the publisher in the course of collecting the tools for Data Journalism Developer Studio 2012LX and Computational Journalism Server. Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement covers, in order:

* PostgreSQL, a traditional RDBMS,
* Riak, a key-value database
* HBase, a columnar database
* MongoDB, a document-oriented database
* CouchDB, a document-oriented database,
* Neo4j, a graph-oriented database, and
* Redis, a key-value database / data structure server.

All of these databases are open source, and they're all supported by either a corporate entity, a non-profit foundation, or some combination of the two. The title really should have been "Seven Databases in Seven Weekends"; each database is covered in three-day hands-on sessions and could easily be done as a series of weekend projects. The book is hands-on - you'll build things with these databases, including a Node.js application combining Redis, CouchDB and Neo4j into an application that provides a "band information service."

Appendix A contains a pair of tables that give an overview of the distinguishing characteristics of the seven databases. As the authors put it, "Although the tables are not a replacement for a true understanding, they should provide you with an at-a-glance sense of what each database is capable of, where it falls short, and how it fits into the modern database landscape."

I believe all of these databases have a place in modern computational journalism, as do the other two well-known open source RDBMS tools, MySQL and SQLite. In particular, for spatial / mapping projects, PostgreSQL, SQLite, MongoDB and CouchDB have robust geographic information systems capabilities either built in or available as add-ons.

Riak, HBase, MongoDB and CouchDB all support "big data" applications implemented via MapReduce. MongoDB and CouchDB both store their documents as JavaScript Object Notation (JSON) objects, which is the "native" format for Twitter data. Neo4j, as a graph database, is perfect for storing data about relationships, such as the interconnections between corporate executives and legislators. And because of its speed, Redis can serve as high-speed pipelines between other components in almost any application architecture.

I think NoSQL databases will be the core of computational journalism for the next few years. The RDBMS isn't going away, of course, but if you limit yourself to "SQL thinking" or even "object-relational models" and "model-view-controller" architectures, there will be applications you can't build. This book will get you up to speed as fast as you're willing to go.
6 internautes sur 6 ont trouvé ce commentaire utile 
Excellent survey for comparison and evaluation against your needs 5 août 2012
Par M. Helmke - Publié sur Amazon.com
Format: Broché
My goal in reading this book was to get a better sense of the landscape, to learn the basics of several of the new databases out that have been receiving the lion's share of the buzz in the computer press. The book did not disappoint, in fact it exceeded my expectations.

All a reader absolutely must know before reading this book is what a database is, but after saying that, I will follow with a quick disclaimer that this is not intended for newbies. The book is written for experienced developers, people who understand software, who know their concepts and how to apply them, but who are interested in the latest developments. The book does not cover things like installation or systems/database administration. Instead, it gives information that surveys the strengths and weaknesses of the new databases to help the experienced developer better understand when, why, and how he or she might find a specific one useful. We have discussions of features, contexts, and pragmatic looks at usefulness. I appreciated the author's willingness to state not only how specific products could benefit, but also mention when specific products may be unsuitable for a specific project.

Databases covered are these, listed in the order in which you will find them in the book:
* PostgreSQL
* Riak
* HBase
* MongoDB
* CouchDB
* Neo4J
* Redis

You will notice that there is a nice variety in the types of databases listed. Represented are a standard relational database (PostgreSQL), key-value stores (Riak, Redis), a columnar database (HBase), some document-oriented databases (MongoDB, CouchDB), and even a graph database (Neo4J). The survey is clear, deep, and packed with useful data that makes comparing these vastly different, but often lumped together as "NoSQL" databases, easier.

If you have any reason to use or consider using anything other than a more traditional relational database, and aren't sure which one to try out of the exploding number of new options, this book will help you make sense of the field and better evaluate your options against your current needs. I recommend it.
4 internautes sur 4 ont trouvé ce commentaire utile 
Great overview of different databases 20 janvier 2013
Par B. Ikehara - Publié sur Amazon.com
Format: Broché Achat vérifié
Instead of getting caught up with the details of each database, this book provides insight into how the database works. It is great for finding the best database to use with a certain project. Definitely learned a good overview of the databases, but I will need to get a database-specific book to learn more of the details.
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