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SEVEN DATABASES IN SEVEN WEEKS EBOOK

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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. Read "Seven Databases in Seven Weeks A Guide to Modern Databases and the NoSQL Movement" by Luc Perkins available from Rakuten Kobo. Sign up today. records Seven Databases in Seven Weeks is an excellent introduction to all aspects of modern database . from Wow! eBook myavr.info>.


Seven Databases In Seven Weeks Ebook

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Editorial Reviews. Review. The flow is perfect. On Friday, you'll be up and running with a new Kindle Store; ›; Kindle eBooks; ›; Computers & Technology . Seven Databases in Seven Weeks provides a fantastic tour of different technologies and makes it easy to add each Ebook delivery options. Download Download Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement | PDF books PDF Online.

But that doesn't mean you understa This book is excellent. But that doesn't mean you understand the NoSQL concepts.

I wanted to at have an idea about what NoSQL is, which problems it tries to solve and how it might be useful for particular problems I might encounter in my day to day work and hobbies. This book gave me that idea.

Seven Databases in Seven Weeks : a Guide to Modern Databases and the NoSQL Movement.

It describes several NoSQL paradigms and exactly describes in which it excels and where it's shortcomings are. There are questions and assignments at the end of each section which are hard enough to keep you busy for a while. I read this book together with an x-colleague become friend after I switched companies.

Every two weeks we would finish a chapter and discuss it online email. Doing stuff together is good for motivation and in this case, keeps you in contact with cool people.

Jan 17, Josh Davis rated it it was amazing Shelves: A great book to give a cursory look at a bunch of different databases. I definitely recommend it as a primer. Feb 14, Cecilia rated it it was amazing. Really useful introduction to seven popular database systems, from the familiar relational database by way of PostgreSQL through to key-value system, document-oriented database and graph database. The idea of the book is to set up seven databases through seven weekends to grasp the basic and benefits of each database systems.

Admittedly I didn't do the tutorials and instead skimmed through the book in a weekend, but I found the material invaluable in getting my knowledge up to scratch, as I toy Really useful introduction to seven popular database systems, from the familiar relational database by way of PostgreSQL through to key-value system, document-oriented database and graph database.

Admittedly I didn't do the tutorials and instead skimmed through the book in a weekend, but I found the material invaluable in getting my knowledge up to scratch, as I toy with the idea of adopting a noSQL database for a side project.

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The author injects a bit of humour here and there to make reading about database a bearable experience. Even just from reading through the steps of setting up each database project, I get a good sense of how easy each database would be to learn and deploy, benefits and downside of each system, and how it relates to a real life project.

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The book is a great intro to whet one's appetite on the various, popular database systems out there, and it provides guidance for someone deciding on which new database technology to potentially adopt.

Aug 10, Chris Maguire rated it liked it. I was a little naive in hoping that this would be written more from a developer point of view but in retrospect, data storage isn't really a code problem. I'm glad I read this book, sinc I was a little naive in hoping that this would be written more from a developer point of view but in retrospect, data storage isn't really a code problem. I'm glad I read this book, since I'm much more aware of the different data storage technologies out there; however, I'd suggest looking around at other documentation if you're interested in why you'd pick a different type of database and if you're not interested in how to interact specifically with these particular databases.

Dec 25, Matija rated it it was amazing Shelves: I'm very impressed by the approach this book takes, the knowledgeability of the authors and finally the prowess with which they are able to transmit that knowledge to the reader. I'll admit I failed to perform all but a few exercises provided in each chapter, but I still feel I'm infinitely more able to consider using a NoSQL database in a project and knowing which parameters to consider when choosing the family and kind to deploy.

TBH, any amount of ability is infinitely larger than zero which I'm very impressed by the approach this book takes, the knowledgeability of the authors and finally the prowess with which they are able to transmit that knowledge to the reader.

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TBH, any amount of ability is infinitely larger than zero which is what I had before I started reading it, but with this book I feel I have made some big first steps on an important journey. May be I was not in proper mood. Too much time is spent on explanation of used languages. I should have picked out just one database and go deeper with some book dedicated to a single engine.

Jun 24, Sergey Shishkin rated it really liked it. This book broadened my view on data persistence very substantially. The particular choice of databases is not in fact important. What this book communicates effectively is how different data has different requirements on consistency, availability and durability.

May 23, Eric rated it it was amazing Shelves: Thanks to everyone who made this book better over the months. This is a hard industry to wrangle, and this ranking goes out to the tech team and beta reviewers! Nov 20, Jean-Luc rated it did not like it. This book's philosophy is simple: Like Programming Collective Intelligence , this book was probably super hot fire when it was released, but it has not held up well.

Unlike PCI, I would not recommend this to anyone.

Although the Riak chapter is out of date, there is some correspondence between what's in the book and what's available on the internet. Indeed, with judicious Googling, one can figure out how to muddle through that chapter.

The i This book's philosophy is simple: The interface has completely changed, almost all of it for the worse.

I'm sure graph databases would be a great addition to one's toolset, but this book does not help with that. This book desperately needs a 2nd edition that addresses the factual inaccuracies.

More generally, open source software writers need to take a page from Postgres and MongoDB and not completely shit on backwards compatibility every chance they get. I regret paying for this book. If you're interested in learning a specific database, you would be better served by reading the product documentation available on the database's website. Jan 07, Ritesh Chhajer rated it liked it. Polyglot Persistence: Columnar database, follows CP, scale out architecture, uses write ahead logging WAL to provide protection against node failures, rack aware.

Built-in versioning, compression, garbage collection for expired data and in-memory tables. So if you want to find rows by something other Polyglot Persistence: So if you want to find rows by something other than their key, you need to scan the table or maintain your own index.

All field values are treated as uninterpreted array of bytes. There is no distinction between int, string, date.

Good fit for read heavy web apps, ORM. Lack of joins. Single typo can cause headache. Good fit for smartphone apps. Not scalable through sharding.

Jun 12, Derrick rated it really liked it. This is a very good idea! The downside with all books is that they get outdated very quickly. Some databases have newer versions out which makes the book obsolete and there are others dabases out there that are more relevant than those in this book.

Use this book as inspiration to learn of more databases and complement it with the very popular elasticsearch for example. Choose a few databases you find interesting and that differ from each other to get a broad view of the alternatives. Apr 01, Julio Biason rated it did not like it Shelves: Somewhat I expected more of this book. I mean, ok, it takes one idea a CRUD and replicates in all of them, so you get a feeling on how that works on each.

But, at the same time, there is very little information about the internals of each database. Does that database store data in columnar format? What does that implies? What kind of data would make sense to store in each database well, Neo4J is obvious, but still And no time series database?

Why no time series database? I really enjoyed reading this book. You get a good overview on the relevant database concepts of today and for each you find one or two databases. The authors are writing in a straight forward way and the tasks given are helpful to delve more into the topic. I can recomment this book to everybody who has a deep interest in getting to know current databases. I loved the specific exercises the authors covered. Jun 04, Ken Murphy rated it liked it.

Good overview of 7 databases but the examples of each were too short to teach you much but long enough to be a waste. I'd rather have a purely theoretical book or one that's more focused on a single technology. Nov 05, Andrei Pavel rated it it was amazing. The NoSQL buzzword is hereby demystified. A book for database amateurs. Great if you follow the practical examples.

Feb 28, Leonid rated it really liked it. A nice overview, if you want a quick look at different approaches and types of databases. Some nice ideas here, but in the context of this would be better suited for a series of blog posts, that the audience can discuss and share, instead of a whole book.

Really basic stuff to get you hooked.

Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement

Sep 25, Shai Sachs rated it really liked it Shelves: This book does just what it sets out to do: Given the way web technologies have been changing so quickly over the past several years, there's a real need for these sort of bird's-eye tours, and I'm glad that such a thing exists.

That said, the chapter on HBase was a little sparse and I don't think I fully appreciated the subtlety of colum This book does just what it sets out to do: That said, the chapter on HBase was a little sparse and I don't think I fully appreciated the subtlety of columnar databases as a result - which is odd given that one of the authors has spent a lot of time with HBase or perhaps this difficulty is born of the author's proximity to the subject, who knows.

Nonetheless - I quite appreciated this whirlwind tour, and by and large found the examples just clear enough to give a flavor of what's possible. I certainly hope to see more books along these lines in the future.

Oct 25, Augusto rated it it was amazing. I really enjoyed reading this books as, unfortunately, I haven't been exposed to NoSQL databases at work.

As a light touch introduction, this book definitely deserves 5 starts. On the depth I feel like I would give this book 4 starts, but going though the details of each database is impossible in a page book.

This is in a way a good I really enjoyed reading this books as, unfortunately, I haven't been exposed to NoSQL databases at work. Citations are based on reference standards.

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Find a copy in the library Finding libraries that hold this item Electronic books Additional Physical Format: Print version: Perkins, Luc. Document, Internet resource Document Type: Reviews User-contributed reviews Add a review and share your thoughts with other readers. Be the first. Add a review and share your thoughts with other readers. Linked Data More info about Linked Data. Primary Entity http: Book , schema: MediaObject , schema: Advanced Queries, Code, and Rules; Day 3:In the past, he has worked as a technical writer for companies such as Twitter and Basho, and is actively involved in the Write the Docs community of technical writers.

Data is getting bigger and more complex by the day, and so are your choices in handling it. Working with Big Data excerpt Day 3: It exists entered among the highest in planets of data like www. Really basic stuff to get you hooked. In the main measurable advice, familiar shows rebuffed here also of Africa; most traditional people in Africa been from a population of password in the developed fire.

So the book was an opportunity to take my more localized knowledge of the space and really stretch my knowledge and my thinking outward. Tim Butler.

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