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[(NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence)] [by: Pramodkumar J. Sadalage] (Anglais) Broché – 1 septembre 2012


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NoSQL Distilled The need to handle increasingly larger data volumes is one factor driving the adoption of a new class of nonrelational "NoSQL" databases. Advocates of NoSQL databases claim they can be used to build systems that are more performant, scale better, and are easier to program. NoSQL Distilled is a concise but thorough introduction to this rapidly emerging technology. Pramod J. Sadalage and Martin Fowl... Full description



Détails sur le produit

  • Broché
  • Editeur : Addison-Wesley Educational Publishers Inc (1 septembre 2012)
  • Langue : Anglais
  • ISBN-10: 8131775690
  • ISBN-13: 978-8131775691
  • Dimensions du produit: 23,4 x 17,6 x 1 cm
  • Moyenne des commentaires client : 4.8 étoiles sur 5  Voir tous les commentaires (4 commentaires client)
  • Table des matières complète
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Commentaires client les plus utiles

1 internautes sur 1 ont trouvé ce commentaire utile  Par GrisBleu le 19 février 2013
Format: Broché Achat vérifié
Cherchant une solution de base de donnée scalable et compatible avec le monde "Cloud", je voulait une introduction aux concepts amenés par les technologies NoSQL.
De par les commentaires anglais, je me suis dirigé vers ce petit livre très bien écrit.

Il se décompose en 2 parties principales: une explication des concepts et un revue des différents produits
Cette première partie définit et décrit plusieurs termes / points clefs qui permettent ensuite de mieux comprendre les atouts de ces composants NoSQL ainsi que les compromis par rapport au monde SQL
La seconde partie balaie rapidement des bases comme MongoDB ou Cassandra

Au final, je suis très satisfait de ce livre, où beaucoup d'exemples sont abordés sous l'angle pratique, avec suffisamment de pseudo code pour améliorer la compréhension tout en restant concis. Sa lecture permet ensuite de mieux aborder la documentation de chaque produit / projet avec les bases pour en saisir les avantages et inconvénients. Je le recommande fortement à toutes personnes rentrant dans le domaine du NoSQL
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1 internautes sur 1 ont trouvé ce commentaire utile  Par Arnold Lescarmontier le 31 janvier 2013
Format: Broché Achat vérifié
Being a relational database expert (good old Informix, Sybase, DB2, Oracle, SQL Server...) but also an enterprise architect willing to better understand the key to horizontal scalability using such new kinds of powerful persistence models, this book is a very good first step introduction before deep-diving into more details.
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1 internautes sur 1 ont trouvé ce commentaire utile  Par funkygono le 25 mai 2013
Format: Format Kindle Achat vérifié
Martin Fowler présente de manière clair et précise toutes les subtilités des bases NoSQL. Cet ouvrage donne tous les éléments permettant de comprendre les différents types de base NoSQL, leurs avantages et inconvénients. Très clair.
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0 internautes sur 1 ont trouvé ce commentaire utile  Par FrancoisG le 8 mai 2014
Format: Format Kindle Achat vérifié
easy to read, enough details for an detailed introduction book about technologies under the nosql umbrella.
Its not meant for developpers only. Anyone with a tech background can read.
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Amazon.com: 88 commentaires
73 internautes sur 74 ont trouvé ce commentaire utile 
Amazing introduction to NoSQL and scalability 19 août 2012
Par Raj Bandyopadhyay - Publié sur Amazon.com
Format: Broché Achat vérifié
I have been trying to learn about the Hadoop/NoSQL world for the last few months, and have found myself getting really frustrated at the lack of a source which presents a clear big picture. No matter where I looked, I was just overwhelmed by minutiae, and the arguments of zillion people advocating their own favorite new technology.

No more! The authors of this book present a wonderful, accessible, product-agnostic introduction to the world of NoSQL. The book first covers the four major kinds of NoSQL databases (key-value, document, column family and graph) via a highly practitioner-oriented comparative study. It then goes into various scalability issues and trade-offs, including distribution models, CAP theorem and its implications, an introduction to Map-reduce and so on. This book has demystified much of NoSQL for me and made it seem quite common-sensical.

If you are new to the Hadoop-NoSQL world, this is the book to start with before delving into any specific technology or jargon. I think that after this high-level introduction, a deep-dive using a book like 'Seven Databases in Seven Weeks' is a logical next step.
21 internautes sur 22 ont trouvé ce commentaire utile 
A Must Read 19 août 2012
Par Harish - Publié sur Amazon.com
Format: Broché Achat vérifié
Seriously I have tried reading up on Mongo,cassandra,Berkley and couch DB for a while.
What always confused me was a comprehensive difference between these Databases and the actual concepts that underline
these databases in General.

The Authors have done a fabulous job on giving an unbiased advice on when and when not to use No SQL databases.
79 internautes sur 95 ont trouvé ce commentaire utile 
Serve the purpose 7 septembre 2012
Par Perazzi25 - Publié sur Amazon.com
Format: Broché Achat vérifié
The book serves its purpose. It is a brief guide to NoSQL products. It is the first practitioners' book in many years that I could finish reading within a few days with considerable pleasure. It gives me what I want to know even though I disagree with some of the points in it. The organization of the book is logical, according to the topics that the authors would like to present. Chapters two and three on the complex structures "aggregates" and graphs are the best and essential chapters. From these two chapters, the readers could understand the main points of NoSQL systems.

Regarding the contents,I am surprised by the misuse of the very common terms "relational database" and "RDBMS". Most of the time when the book refers to relational database, it actually means RDBMS (and vice versa). The book (as well as many other NoSQL advocates elsewhere) states that relational databases use ACID transactions and are not good at horizontal fragmentation (sharding) in a distributed environment. I still remember E. F. Codd's original relational database model which addresses relational data structure, entity and referential integrity constraints, and relational complete languages but says nothing about transaction processing. Transaction processing is considered a separate area from data modeling (transaction processing is explained in great details in Jim Gray's book). Also, perhaps the first book in the area, "Distributed Databases" by Ceri and Pelagatti refers to relational database almost exclusively and even uses the relational algebra select to demonstrate horizontal fragmentation. Relational RDBMSs have managed distributed databases for decades. I thought the whole database world knew this.

This book covers many topics on transaction processing and data distribution with good explanations. However, the main topics on logical data structures, integrity constraints, data manipulation and data definition languages of each "NoSQL data model" need to be addressed more clearly. Technically, transaction processing, data distributions and performance are not relevant topics on data models comparison. They are, however, relevant topics on DBMS products comparison.
12 internautes sur 12 ont trouvé ce commentaire utile 
Excellent overview of just what NoSQL covers... 9 novembre 2012
Par Thomas Duff - Publié sur Amazon.com
Format: Broché
Back in August, I wrote an article for the Developer Tips Newsletter titled "Domino Was NoSQL Before NoSQL Was Cool". In it, I talked a little about how Domino's "NoSQL" database is both a blessing and a curse when it comes to trying to explain exactly where Domino fits in your environment. To get deeper into the whole topic of NoSQL (and to see how Domino fits in that world), I read "NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence" by Pramodkumar J Sadalage and Martin Fowler. Not only do I now have a better understanding of the entire NoSQL topic, but I also better understand some of the unique ways that Domino has dealt with the pros and cons of this style of data storage.

Sadalage and Fowler do an excellent job in making NoSQL Distilled an "easy" read in terms of interest and flow. Their goal is not to give you an encyclopedic knowledge of every type of NoSQL implementation and product offering. Instead, they aim to give you a solid grasp of the basics, with references back to actual database implementations that use the various structures. Even after reading just the first two chapters, you should have a much clearer understanding of what makes up a NoSQL database and the various data models used to implement it. I could have stopped right there and still have been happy with the value. But it continues to deliver throughout each remaining chapter.

Part 2 of the book is where many of the "I get it" moments happened for me. As a Domino developer, I naturally read chapter 9, Document Databases, with interest. That's the structure that Domino uses (and is in fact mentioned by name in the chapter), as well as CouchDB. If you're unfamiliar with CouchDB, it was created by Damien Katz, who was also one of the chief developers at IBM working on the Domino product before leaving to start his own project. It's one of the reasons there are so many similar architectural concepts for data when you compare the two.
The authors dive into what is meant by a "document database" when it comes to NoSQL, and how it plays out in terms of how data is stored. As with the rest of the chapters, they give some examples as to how document databases differ from the traditional relational model, suitable use cases for that type of database, and most importantly, when *not* to use that type of model. Although it doesn't mention Domino specifically throughout the chapter, it's easy to take their recommendations and understand why Domino is great for some projects and absolutely the wrong choice for others.

"NoSQL Distilled" is a book that is well worth the time you'll spend reading it. Not only will you have a few "ah-ha" moments when it comes to working with and using Domino, but you'll also come away with a greater appreciation of the whole NoSQL topic and how you can use that for your own projects going forward.

Table of Contents
Part 1: Understand
Chapter 1: Why NoSQL?
Chapter 2: Aggregate Data Models
Chapter 3: More Details on Data Models
Chapter 4: Distribution Models
Chapter 5: Consistency
Chapter 6: Version Stamps
Chapter 7: Map-Reduce
Part 2: Implement
Chapter 8: Key-Value Databases
Chapter 9: Document Databases
Chapter 10: Column-Family Stores
Chapter 11: Graph Databases
Chapter 12: Schema Migrations
Chapter 13: Polyglot Persistence
Chapter 14: Beyond NoSQL
Chapter 15: Choosing Your Database
Bibliography
Index
9 internautes sur 9 ont trouvé ce commentaire utile 
Concise and exceptionally clear 11 septembre 2012
Par Matthew Asay - Publié sur Amazon.com
Format: Broché
Foe someone with an interest in NoSQL but lacking a software engineering background, I found this book surprisingly easy to understand. The authors don't dumb down the material: they just write in a lucid, thoughtful manner that dispenses with unnecessary details and provides just enough context to be able to appreciate the shift toward NoSQL databases. No, the book won't make you an expert in NoSQL, but it *will* leave you feeling like you can play a meaningful role in the conversation. Highly recommended.
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