- Taschenbuch: 286 Seiten
- Verlag: Manning; Auflage: Pap/Psc (12. September 2013)
- Sprache: Englisch
- ISBN-10: 1617291072
- ISBN-13: 978-1617291074
- Größe und/oder Gewicht: 18,7 x 2 x 23,5 cm
- Durchschnittliche Kundenbewertung: Schreiben Sie die erste Bewertung
- Amazon Bestseller-Rang: Nr. 364.155 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
Making Sense of NoSQL (Englisch) Taschenbuch – 12. September 2013
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Über den Autor und weitere Mitwirkende
Dan McCreary is a consultant with a focus on advanced technologies. He has worked for Bell Labs, the supercomputing industry, Steve Jobs NeXT Computer and cofounded a75-person consulting company. Beginning in 2000 he has focused on XML integration technologies and in 2006 he started focusing on native XML and XQuery systems. He is cofounder of the NoSQL Now! Conference.
Ann Kelly is a NoSQL developer and NoSQL project manager with over 20 years experience in the computer and insurance industries. She has built NoSQL solutions for federal agencies as well as commercial projects. She is a CPCU (Chartered Property Casualty Underwriter)
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While computer/network vocabulary were of course used, so too were useful analogies that allowed me to pick up on the big ideas and learn new vocabulary. For example, to explain the advantages of analyzing data that is loaded in RAM cache vs SSD vs a HD, the authors compared access times to distance traveled (roughly equating data access time to the distance light would travel during that time). Spoiler alert! Considering Chicago as the starting point, RAM access would be like a journey to the back yard, SSD to a journey to a neighborhood destination, a hard drive would be like a journey to Los Angelos CA (that would be a hard drive!). Got it.
Specifically, I was interested in graph databases and this book has provided me with a great understanding of how they are situated in the NoSQL world, their different kinds, how each works and specific affordances and constraints of each.
In conclusion, the brilliance of this book is how it removes the mystique and technicality of this broad broad group of databases (they leave this specific technical application to others) and fill the space with clearly written text, consistently and usefully organized chapters with plenty of analogies and stories.
This is the book I needed it to be. Thanks!
The book has quite a few real-life examples as well as diagrams, schemes, and lists. It feels like a college course study book, however, it is not boring and is an easy read. It enlightened me.
I work as a technical consultant in the database/storage field, and coming from a relational database (RDBMS) background, had been looking for a good resource beyond the non-curated content to be found all over the Internet.
I have not been disappointed.
(+) The book provides a balanced and informative introduction to the different types/classes of NoSQL DBs
(+) I liked the 'jargon buster' approach of the author of actually explaining and defining a lot of the terms used. They did indeed "make sense" of NoSQL from that perspective.
(+) I also appreciated the various real-life case studies and use cases for the differing NoSQL DBs, not only taking into account the pure technical side, but also potential business drivers - this is helpful for technical folk like myself whose job entails explaining the pros and cons of DBs to non-technical/business folk who don't appreciate the intricacies of BASE vs. ACID compliance (and probably couldn't case less)
(+) Dan McCreary, the author, seems to take a balanced view in the ongoing SQL vs. NoSQL debate, something I missed from some of the other books I've read (like MongoDB in Action, HBase in Action etc.) - no SQL/RDMBS 'bashing' here.
(-) My only (ever so small) negative comment would be that the book has not been written for a non-technical/business audience. This is not necessarily a bad thing, but the potential reader should be aware that he or she will probably struggle if they are not familiar with (general) database concepts.
I would give the book 4.5 stars, but settled for 4 stars - according to Amazon, 4 stars means "I like it", 5 stars "I love it". I love my wife, and my family - but I don't 'love' books. I very much 'liked' it though.
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