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NoSQL for Dummies


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Table of Contents

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

About the Author

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 He s a frequent speaker at NoSQL conferences.

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