Get up to speed on the nuances of NoSQL databases and what they mean for your organization 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.
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.
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