Fowler NoSQL For Dummies

1. Auflage 2015
ISBN: 978-1-118-90562-3
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 456 Seiten, E-Book

Get up to speed on the nuances of NoSQL databases and what theymean for your organization
This easy to read guide to NoSQL databases provides the type ofno-nonsense overview and analysis that you need to learn, includingwhat NoSQL is and which database is right for you. Featuringspecific evaluation criteria for NoSQL databases, along with a lookinto the pros and cons of the most popular options, NoSQL ForDummies provides the fastest and easiest way to dive into thedetails of this incredible technology. You'll gain an understandingof how to use NoSQL databases for mission-critical enterprisearchitectures and projects, and real-world examples reinforce theprimary points to create an action-oriented resource for ITpros.
If you're planning a big data project or platform, you probablyalready know you need to select a NoSQL database to complete yourarchitecture. But with options flooding the market and updates andadd-ons coming at a rapid pace, determining what you require now,and in the future, can be a tall task. This is where NoSQL ForDummies comes in!
* Learn the basic tenets of NoSQL databases and why they havecome to the forefront as data has outpaced the capabilities ofrelational databases
* Discover major players among NoSQL databases, includingCassandra, MongoDB, MarkLogic, Neo4J, and others
* Get an in-depth look at the benefits and disadvantages of thewide variety of NoSQL database options
* Explore the needs of your organization as they relate to thecapabilities of specific NoSQL databases
Big data and Hadoop get all the attention, but when it comesdown to it, NoSQL databases are the engines that power many bigdata analytics initiatives. With NoSQL For Dummies, you'llgo beyond relational databases to ramp up your enterprise's dataarchitecture in no time.

Autoren/Hrsg.

Fowler, Adam

Inhaltsverzeichnis

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

Über Autor(innen)

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.