Adam Fowler - NoSQL For Dummies
-10%

NoSQL For Dummies

Adam Fowler

ISBN: 9781118905746
Vydavatelství: Wiley
Rok vydání: 2015
Vazba: Paperback
Počet stran: 456
Dostupnost: Na objednávku

Původní cena: 1 061 Kč
Výstavní cena: 955 Kč(t.j. po slevě 10%)
(Cena je uvedena včetně 10% DPH)
Katalogová cena: 24.99 GBP

Nárok na dopravu zdarma
Přidat do wishlistu
Zpět Tisknout
Koupit
Learn to: Use the different types of NoSQL databases Create a database management system using NoSQL Access and analyze massive amounts of unstructured data Learn everything you need to know about NoSQL databases and how to use them NoSQL databases are critical for managing big data. This easy, friendly guide provides specific evaluation criteria for choosing the NoSQL database that s ideal for your organization. You ll also gain an understanding of how to use NoSQL databases for mission–critical enterprise architectures and projects, with real–world examples to show you how. First, the basics learn the basic tenets of NoSQL databases and how they serve big data needs that relational databases can t handle So many choices get an in–depth look at the benefits and disadvantages of the most popular NoSQL database options Meet the players explore some of the major NoSQL database types, including Cassandra, MongoDB, MarkLogic, and Neo4J How to choose see how to examine the needs of your organization as they relate to the capabilities of specific NoSQL databases Real stuff discover how to spot business and technical problems that NoSQL can solve and how to use NoSQL databases in complex, mission–critical applications Boost your value get the information you need to ramp up your enterprise s data architecture for cutting–edge competitiveness Open the book and find: What you need to know when choosing a NoSQL database How NoSQL is structured to manage different data types All about BigTables Tips on document database use Factors to evaluate when comparing databases Interesting stuff about Elasticsearch Ten NoSQL misconceptions Why developers love NoSQL

Viz také
« »