By Adam Fowler

ISBN-10: 1118905784

ISBN-13: 9781118905784

Wake up to hurry at the nuances of NoSQL databases and what theymean to your organization

This effortless to learn advisor to NoSQL databases presents the sort ofno-nonsense assessment and research you'll want to examine, includingwhat NoSQL is and which database is correct for you. Featuringspecific evaluate standards for NoSQL databases, in addition to a lookinto the professionals and cons of the preferred strategies, NoSQL ForDummies offers the quickest and simplest way to dive into thedetails of this outstanding expertise. You'll achieve an understandingof the way to use NoSQL databases for mission-critical enterprisearchitectures and initiatives, and real-world examples make stronger theprimary issues to create an action-oriented source for ITpros.

If you're making plans a tremendous information venture or platform, you probablyalready understand you must decide on a NoSQL database to accomplish yourarchitecture. yet with suggestions flooding the industry and updates andadd-ons coming at a fast velocity, picking out what you require now,and sooner or later, could be a tall activity. this is often the place NoSQL ForDummies comes in!

Learn the fundamental tenets of NoSQL databases and why they havecome to the vanguard as info has outpaced the functions ofrelational databases
Discover significant avid gamers between NoSQL databases, includingCassandra, MongoDB, MarkLogic, Neo4J, and others
Get an in-depth examine the advantages and drawbacks of thewide number of NoSQL database options
Explore the wishes of your company as they relate to thecapabilities of particular NoSQL databases
Big facts and Hadoop get the entire recognition, but if it comesdown to it, NoSQL databases are the engines that energy many bigdata analytics tasks. With NoSQL For Dummies, you'llgo past relational databases to ramp up your enterprise's dataarchitecture in no time.

From the again Cover

Learn to:

Use the differing kinds of NoSQL databases
Create a database administration process utilizing NoSQL
Access and examine big quantities of unstructured data
Learn every thing you want to learn about NoSQL databases and the way to exploit them

NoSQL databases are severe for handling monstrous facts. this straightforward, pleasant advisor offers particular review standards for selecting the NoSQL database that’s perfect in your association. You’ll additionally achieve an figuring out of the way to exploit NoSQL databases for mission-critical firm architectures and tasks, with real-world examples to teach you how.

First, the fundamentals — study the fundamental tenets of NoSQL databases and the way they serve massive information wishes that relational databases can’t handle
So many decisions — get an in-depth examine the advantages and drawbacks of the preferred NoSQL database options
Meet the avid gamers — discover a few of the significant NoSQL database forms, together with Cassandra, MongoDB, MarkLogic, and Neo4J
How to settle on — see tips on how to research the wishes of your company as they relate to the features of particular NoSQL databases
Real stuff — realize find out how to spot company and technical difficulties that NoSQL can resolve and the way to exploit NoSQL databases in advanced, mission-critical applications
Boost your worth — get the data you must ramp up your enterprise’s facts structure for state-of-the-art competitiveness
Open the e-book and find:

What you must understand whilst determining a NoSQL database
How NoSQL is based to control varied facts types
All approximately BigTables
Tips on rfile database use
Factors to guage while evaluating databases
Interesting stuff approximately Elasticsearch
Ten NoSQL misconceptions
Why builders love NoSQL
About the Author

Adam Fowler is a central revenues engineer with MarkLogic, Inc. He has formerly labored for IPK, FileNet, and IBM in addition to smaller businesses. Adam writes for and runs a favored web publication on NoSQL and massive info, that is republished on He’s a widespread speaker at NoSQL meetings.

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Sample text

Interestingly, because of its treelike nature, an effective document store is also capable of storing simpler data structures.  Chapter 2: NoSQL Database Design and Terminology A table, for example, can be modeled as a very flat XML document — that is, one with only a single set of elements, and no sub‐element hierarchies. A set of triples (aka subgraph) can be stored within a single document, or across documents, too. The utility of doing so depends, of course, on the indexing and query mechanisms supported.

When developers couldn’t find a NoSQL database for their needs, they created one, and published it initially as open‐source. I didn’t include this in the earlier “Common features” section because the majority of popular NoSQL solutions are driven by commercial companies, with the open source variant lacking the key features required for mission critical use in large enterprises. The difference between open‐source NoSQL vendors and these wholly commercial companies is that open‐source vendors have a business model similar to the Red Hat model.

They could be more complex, though — for example, returning a complex value describing an overarching range of time. Column stores are also sometimes referred to as Big Tables or Big Table clones, reflecting their common ancestor, Google’s Bigtable. Perhaps the key difference between column stores and a traditional RDBMS is that, in a column store, each record (think row in an RDBMS) doesn’t require a single value per column. Instead, it’s possible to model column families. A single record may consist of an ID field, a column family for “customer” information, and another column family for “order item” information.

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NoSQL for Dummies by Adam Fowler

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