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Seven Databases in Seven Weeks (Anglais) Broché – 25 mai 2012

4.5 étoiles sur 5 4 commentaires client

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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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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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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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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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Amazon.com: 4.4 étoiles sur 5 43 commentaires
113 internautes sur 116 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 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.
27 internautes sur 27 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 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.
5.0 étoiles sur 5 Database guidebook offers clearly detailed explanations 11 avril 2016
Par William P Ross - Publié sur Amazon.com
Format: Broché Achat vérifié
This is the third seven in seven series I read, and I found this one to be the best so far. It is a guidebook of different databases and how they differ. I felt the selection was excellent as each database covered has different features that made it unique.

The authors know the correct resources to link to and the proper way to explain the databases. For example, they show you where you can find the original Google paper about MapReduce, and the original Amazon paper about DynamoDB. I found these small details and side notes to be very useful.

Starting with the introduction, I found the explainations to be clear and detailed. The chapters and days they are divided into was the right length. Properties of databases such as ACID and CAP theorem were covered in depth. MapReduce was explained in terms a few different database architectures.

The authors did a lot of research and know the material well. Additionally, it has been four years since the release of this book and you can see that their choice of database was excellent, as Mongo, Redis, and PostgreSQL are still heavily used.
2 internautes sur 2 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Five genres of databases across seven open source products 25 mai 2013
Par Erik Gfesser - Publié sur Amazon.com
Format: Broché Achat vérifié
Over the past couple years, I have read considerably about non-traditional database products, whether they be categorized as NoSQL or NewSQL, especially the Hadoop ecosystem (see my reviews on "HBase: The Definitive Guide" and "Hadoop in Action"), but I only just recently completed a reading of this book after pre-ordering it over a year ago. I share the sentiment of other reviewers to some extent, in the sense that even though the authors call the content that they offer here a "crash course workshop" written for "experienced developers", the discussions of each database product vary in terms of the detail and pace at which they are presented. That said, this book does offer a look at the modern database landscape from the perspective of a developer, and presents material on each database product to an extent which prompts the reader to look to other resources for additional detail, a practice to which I have grown accustomed as a consultant, so this aspect of the book is not a negative thing in itself, just something of which readers need to be aware in the case they are not accustomed to this style of presentation.

By this point, there are enough reviewers who have discussed the fact that Redmond and Wilson explore seven open source database products in this book: Redis, Neo4J, CouchDB, MongoDB, HBase, PostgreSQL, and Riak. Since there are literally hundreds of open source database products, it helps to understand the fact that one of the reasons these seven database products was chosen was because they span several genres of database that were designed to solve problems presented by real use cases. PostgreSQL is the one relational database discussed. Riak and Redis are key-value stores, HBase is a column-oriented database, MongoDB and CouchDB are document-oriented databases, and Neo4J is a graph database. Since I have already gained considerable exposure to the Hadoop ecosystem, I concentrated on the six chapters not covering HBase, and in reading the HBase material I can tell you that it really just scratches the service of the product, so this served as a personal reminder of what the authors state multiple times throughout what they have to share here: this is introductory material.

Coverage of each database product follows a similar pattern over hypothetical three-day periods of time. If you are interested in reading this book, do not be intimidated by how the material is laid out according to the calendar. Each set of three days is really just three steps of progression, diving deeper with each step. The only exception to this pattern is coverage of Redis, the last database product covered. While technically the third step of the Redis discussion involves Redis, what it really provides is introductory material on polygot persistence, which involves database products working together. In the example that the authors present, CouchDB is the system of record, Neo4J handles data relationships, and Redis helps with data population and caching. The authors even present a good sidebar on why use of nonblocking code is such an important method when dealing with databases. The wrap-up that follows each three-day time period outlines the the strengths and weaknesses of each database product, and a wrap-up chapter at the end of the book outlines the strengths and weakness of each database genre, followed by an appendix that provides informational tables that compares each of the database products from several different angles.

While HBase is still the database product that attracts the data architecture aspects of my consulting career the most, of the seven database products covered PostgreSQL is the one that I have actually started using, due to practical reasons, but I am also increasingly interested in Neo4J, a graph database product providing full ACID compliant transactions to which I was first exposed at SpringOne a couple years ago. It is interesting that although this book was reasonably targeted at an audience consisting of "experienced developers", it is not a stretch to say that many developers naively consider data availability a given on their project assignments, sometimes because they do not want to deal with the data, and sometimes because they think the data is the easy part. Books like this which help bridge the gulf that often exists between those who seem to think that Java or some other language is all that matters in the enterprise, and those who consider the viability of only one database product, serve a great need, and do not fall into the set of O'Reilly texts that have strayed off course in recent years.
1 internautes sur 1 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Good book for intermediate learners 5 janvier 2013
Par Saeed Rahimi - Publié sur Amazon.com
Format: Broché Achat vérifié
If you already know and/or are familiar with database technologies and want to venture into the new world of big data databases, this is a good book for you. Do not expect a whole lot of beginner material. If you do not know java and scripting languages this book might not be as useful to you. The book gives you enough to make you dangerous. Do not expect to be an expert after following the examples in the book. You will need a lot of other supporting examples to work on before you feel real comfortable with these databases. Having said that, the book does an excellent job in providing a week long framework for working with each system. The examples are well thought of and are organized in a productive way. In some cases, you may need to spend more than a week on a given database and in other cases, you may finish the examples in less than a week. It all depends on your previous knowledge of the system you are working with. All around, a book well worth the money you spend on.
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