Details

NoSQL For Dummies


NoSQL For Dummies


1. Aufl.

von: Adam Fowler

23,99 €

Verlag: Wiley
Format: EPUB
Veröffentl.: 20.01.2015
ISBN/EAN: 9781118905623
Sprache: englisch
Anzahl Seiten: 464

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Beschreibungen

<b>Get up to speed on the nuances of NoSQL databases and what they mean for your organization</b> <p>This easy to read guide to NoSQL databases provides the type of no-nonsense overview and analysis that you need to learn, including what NoSQL is and which database is right for you. Featuring specific evaluation criteria for NoSQL databases, along with a look into the pros and cons of the most popular options, <i>NoSQL For Dummies</i> provides the fastest and easiest way to dive into the details of this incredible technology. You'll gain an understanding of how to use NoSQL databases for mission-critical enterprise architectures and projects, and real-world examples reinforce the primary points to create an action-oriented resource for IT pros.</p> <p>If you're planning a big data project or platform, you probably already know you need to select a NoSQL database to complete your architecture. But with options flooding the market and updates and add-ons coming at a rapid pace, determining what you require now, and in the future, can be a tall task. This is where <i>NoSQL For Dummies</i> comes in!</p> <ul> <li>Learn the basic tenets of NoSQL databases and why they have come to the forefront as data has outpaced the capabilities of relational databases</li> <li>Discover major players among NoSQL databases, including Cassandra, MongoDB, MarkLogic, Neo4J, and others</li> <li>Get an in-depth look at the benefits and disadvantages of the wide variety of NoSQL database options</li> <li>Explore the needs of your organization as they relate to the capabilities of specific NoSQL databases</li> </ul> <p>Big data and Hadoop get all the attention, but when it comes down to it, NoSQL databases are the engines that power many big data analytics initiatives. With <i>NoSQL For Dummies</i>, you'll go beyond relational databases to ramp up your enterprise's data architecture in no time.</p>
<p>Introduction 1</p> <p><b>Part I: Getting Started with NoSQL 5</b></p> <p>Chapter 1: Introducing NoSQL: The Big Picture 7</p> <p>Chapter 2: NoSQL Database Design and Terminology 27</p> <p>Chapter 3: Evaluating NoSQL 59</p> <p><b>Part II: Key-Value Stores 95</b></p> <p>Chapter 4: Common Features of Key-Value Stores 97</p> <p>Chapter 5: Key-Value Stores in the Enterprise 105</p> <p>Chapter 6: Key-Value Use Cases 111</p> <p>Chapter 7: Key-Value Store Products 117</p> <p>Chapter 8: Riak and Basho 133</p> <p><b>Part III: Bigtable Clones 139</b></p> <p>Chapter 9: Common Features of Bigtables 141</p> <p>Chapter 10: Bigtable in the Enterprise 153</p> <p>Chapter 11: Bigtable Use Cases 165</p> <p>Chapter 12: Bigtable Products 171</p> <p>Chapter 13: Cassandra and DataStax 193</p> <p><b>Part IV: Document Databases 199</b></p> <p>Chapter 14: Common Features of Document Databases 201</p> <p>Chapter 15: Document Databases in the Enterprise 213</p> <p>Chapter 16: Document Database Use Cases 221</p> <p>Chapter 17: Document Database Products 233</p> <p>Chapter 18: MongoDB 251</p> <p><b>Part V: Graph and Triple Stores 257</b></p> <p>Chapter 19: Common Features of Triple and Graph Stores 259</p> <p>Chapter 20: Triple Stores in the Enterprise 275</p> <p>Chapter 21: Triple Store Use Cases 283</p> <p>Chapter 22: Triple Store Products 293</p> <p>Chapter 23: Neo4j and Neo Technologies 309</p> <p><b>Part VI: Search Engines 315</b></p> <p>Chapter 24: Common Features of Search Engines 317</p> <p>Chapter 25: Search Engines in the Enterprise 327</p> <p>Chapter 26: Search Engine Use Cases 335</p> <p>Chapter 27: Types of Search Engines 341</p> <p>Chapter 28: Elasticsearch 353</p> <p><b>Part VII: Hybrid NoSQL Databases 359</b></p> <p>Chapter 29: Common Hybrid NoSQL Features 361</p> <p>Chapter 30: Hybrid Databases in the Enterprise 369</p> <p>Chapter 31: Hybrid NoSQL Database Use Cases 375</p> <p>Chapter 32: Hybrid NoSQL Database Products 381</p> <p>Chapter 33: MarkLogic 389</p> <p><b>Part VIII: The Part of Tens 399</b></p> <p>Chapter 34: Ten Advantages of NoSQL over RDBMS 401</p> <p>Chapter 35: Ten NoSQL Misconceptions 407</p> <p>Chapter 36: Ten Reasons Developers Love NoSQL 413</p> <p>Index 419</p>
<p><b>Adam Fowler</b> is a principal sales engineer with MarkLogic, Inc. He has previously worked for IPK, FileNet, and IBM as well as smaller companies. Adam writes for and runs a popular blog on NoSQL and big data, which is republished on DZone.com. He’s a frequent speaker at NoSQL conferences.
<p><b><i>Learn to:</i></b> <ul> <li>Use the different types of NoSQL databases</li> <li>Create a database management system using NoSQL</li> <li>Access and analyze massive amounts of unstructured data</li> </ul> <p><b>Learn everything you need to know about NoSQL databases and how to use them</b> <p>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. <ul> <li>First, the basics — learn the basic tenets of NoSQL databases and how they serve big data needs that relational databases can’t handle</li> <li>So many choices — get an in-depth look at the benefits and disadvantages of the most popular NoSQL database options</li> <li>Meet the players — explore some of the major NoSQL database types, including Cassandra, MongoDB, MarkLogic, and Neo4J</li> <li>How to choose — see how to examine the needs of your organization as they relate to the capabilities of specific NoSQL databases</li> <li>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</li> <li>Boost your value — get the information you need to ramp up your enterprise’s data architecture for cutting-edge competitiveness</li> </ul> <p><b>Open the book and find:</b> <ul> <li>What you need to know when choosing a NoSQL database</li> <li>How NoSQL is structured to manage different data types</li> <li>All about BigTables</li> <li>Tips on document database use</li> <li>Factors to evaluate when comparing databases</li> <li>Interesting stuff about Elasticsearch</li> <li>Ten NoSQL misconceptions</li> <li>Why developers love NoSQL</li> </ul>

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