NoSQL For Dummies

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, NoSQL For Dummies 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.

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 NoSQL For Dummies comes in!

• Learn the basic tenets of NoSQL databases and why they have come to the forefront as data has outpaced the capabilities of relational databases
• Discover major players among NoSQL databases, including Cassandra, MongoDB, MarkLogic, Neo4J, and others
• Get an in-depth look at the benefits and disadvantages of the wide variety of NoSQL database options
• Explore the needs of your organization as they relate to the capabilities of specific NoSQL databases

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 NoSQL For Dummies, you'll go beyond relational databases to ramp up your enterprise's data architecture in no time.

Introduction 1

Part I: Getting Started with NoSQL 5

Chapter 1: Introducing NoSQL: The Big Picture 7

Chapter 2: NoSQL Database Design and Terminology 27

Chapter 3: Evaluating NoSQL 59

Part II: Key-Value Stores 95

Chapter 4: Common Features of Key-Value Stores 97

Chapter 5: Key-Value Stores in the Enterprise 105

Chapter 6: Key-Value Use Cases 111

Chapter 7: Key-Value Store Products 117

Chapter 8: Riak and Basho 133

Part III: Bigtable Clones 139

Chapter 9: Common Features of Bigtables 141

Chapter 10: Bigtable in the Enterprise 153

Chapter 11: Bigtable Use Cases 165

Chapter 12: Bigtable Products 171

Chapter 13: Cassandra and DataStax 193

Part IV: Document Databases 199

Chapter 14: Common Features of Document Databases 201

Chapter 15: Document Databases in the Enterprise 213

Chapter 16: Document Database Use Cases 221

Chapter 17: Document Database Products 233

Chapter 18: MongoDB 251

Part V: Graph and Triple Stores 257

Chapter 19: Common Features of Triple and Graph Stores 259

Chapter 20: Triple Stores in the Enterprise 275

Chapter 21: Triple Store Use Cases 283

Chapter 22: Triple Store Products 293

Chapter 23: Neo4j and Neo Technologies 309

Part VI: Search Engines 315

Chapter 24: Common Features of Search Engines 317

Chapter 25: Search Engines in the Enterprise 327

Chapter 26: Search Engine Use Cases 335

Chapter 27: Types of Search Engines 341

Chapter 28: Elasticsearch 353

Part VII: Hybrid NoSQL Databases 359

Chapter 29: Common Hybrid NoSQL Features 361

Chapter 30: Hybrid Databases in the Enterprise 369

Chapter 31: Hybrid NoSQL Database Use Cases 375

Chapter 32: Hybrid NoSQL Database Products 381

Chapter 33: MarkLogic 389

Part VIII: The Part of Tens 399

Chapter 34: Ten Advantages of NoSQL over RDBMS 401

Chapter 35: Ten NoSQL Misconceptions 407

Chapter 36: Ten Reasons Developers Love NoSQL 413

Index 419

Primary: CIOs and IT decision makers looking to understand NoSQL databases and ensure that the technology is ready for enterprise, mission–critical systems, and IT architects looking for evaluation criteria, common issues, and advice on approaches for particular technical issues. Secondary: Professional developers looking to understand an increasingly popular technology and to gain an understanding on how to apply NoSQL solutions to new application development problems.

Adam Fowler 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.