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NoSQL with MongoDB in 24 Hours, Sams Teach Yourself

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NoSQL with MongoDB in 24 Hours, Sams Teach Yourself

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    ePub EPUB The open industry format known for its reflowable content and usability on supported mobile devices.

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About

Features

  • Shows how to use MongoDB to build fast, efficient Big Data and real-time database solutions - even for readers with no experience with NoSQL
  • Covers NoSQL database design and implementation, including the use of Java, PHP, Python, and Node.js/Mongoose to store and manage data
  • Introduces advanced NoSQL concepts such as sharding, replication, and optimization
  • Teaches through practical instructions, realistic examples, QandAs, quizzes, exercises, tips, and more

Description

  • Copyright 2015
  • Dimensions: 7" x 9-1/8"
  • Pages: 544
  • Edition: 1st
  • Book
  • ISBN-10: 0-672-33713-4
  • ISBN-13: 978-0-672-33713-0

NoSQL database usage is growing at a stunning 50% per year, as organizations discover NoSQL's potential to address even the most challenging Big Data and real-time database problems. Every NoSQL database is different, but one is the most popular by far: MongoDB.

Now, in just 24 lessons of one hour or less, you can learn how to leverage MongoDB's immense power. Each short, easy lesson builds on all that's come before, teaching NoSQL concepts and MongoDB techniques from the ground up.

Sams Teach Yourself NoSQL with MongoDB in 24 Hours covers all this, and much more:

  • Learning how NoSQL is different, when to use it, and when to use traditional RDBMSes instead
  • Designing and implementing MongoDB databases of diverse types and sizes
  • Storing and interacting with data via Java, PHP, Python, and Node.js/Mongoose
  • Choosing the right NoSQL distribution model for your application
  • Installing and configuring MongoDB
  • Designing MongoDB data models, including collections, indexes, and GridFS
  • Balancing consistency, performance, and durability
  • Leveraging the immense power of Map-Reduce
  • Administering, monitoring, securing, backing up, and repairing MongoDB databases
  • Mastering advanced techniques such as sharding and replication
  • Optimizing performance

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Please download the free companion files associated with Sams Teach Yourself NoSQL with MongoDB in 24 Hours here.

Sample Content

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Introducing NoSQL and MongoDB

Sample Pages

Download the sample pages (includes Chapter 1 and Index)

Table of Contents

Introduction     1
  How This Book Is Organized     1
  Code Examples     2
  Special Elements     2
  Q&A, Quiz, and Exercises     3

Part I: Getting Started with NoSQL and MongoDB

 

HOUR 1: Introducing NoSQL and MongoDB     5
  What Is NoSQL?     6
  Choosing RDBMS, NoSQL, or Both     7
  Understanding MongoDB     8
  MongoDB Data Types     10
  Planning Your Data Model     11
  Summary     17
  Q&A     18
  Workshop     18
HOUR 2: Installing and Configuring MongoDB     21
  Building the MongoDB Environment     21
  Accessing the MongoDB HTTP Interface     26
  Accessing MongoDB from the Shell Client     27
  Scripting the MongoDB Shell     31
  Summary     34
  Q&A     35
  Workshop     35
HOUR 3: Using JavaScript in the MongoDB Shell     37
  Defining Variables     37
  Understanding JavaScript Data Types     38
  Outputting Data in a MongoDB Shell Script     40
  Using Operators     40
  Implementing Looping     44
  Creating Functions     49
  Understanding Variable Scope     52
  Using JavaScript Objects     53
  Manipulating Strings     56
  Working with Arrays     60
  Adding Error Handling     65
  Summary     67
  Q&A     67
  Workshop     67

Part II: Implementing NoSQL in MongoDB

HOUR 4: Configuring User Accounts and Access Control     69
  Understanding the Admin Database     69
  Administrating User Accounts     70
  Configuring Access Control     78
  Summary     83
  Q&A     83
  Workshop     83
HOUR 5: Managing Databases and Collections from the MongoDB Shell     85
  Understanding the Database and Collection Objects     85
  Managing Databases     91
  Managing Collections     96
  Implementing the Example Dataset     100
  Summary     104
  Q&A     104
  Workshop     104
HOUR 6: Finding Documents in the MongoDB Collection from the MongoDB Shell     107
  Understanding the Cursor Object     107
  Understanding Query Operators     109
  Getting Documents from a Collection     112
  Finding Specific Sets of Documents     117
  Summary     122
  Q&A     122
  Workshop     123
HOUR 7: Additional Data-Finding Operations Using the MongoDB Shell     125
  Counting Documents     125
  Sorting Results Sets     128
  Limiting Result Sets     130
  Finding Distinct Field Values     138
  Summary     141
  Q&A     141
  Workshop     141
HOUR 8: Manipulating MongoDB Documents in a Collection     143
  Understanding the Write Concern     143
  Configuring Database Connection Error Handling     144
  Getting the Status of Database Write Requests     145
  Understanding Database Update Operators     146
  Adding Documents to a Collection in the MongoDB Shell     149
  Updating Documents in a Collection from the MongoDB Shell     151
  Saving Documents in a Collection Using the MongoDB Shell     155
  Upserting Documents in Collections Using the MongoDB Shell     158
  Deleting Documents from a Collection Using the MongoDB Shell     161
  Summary     163
  Q&A     164
  Workshop     164
HOUR 9: Utilizing the Power of Grouping, Aggregation, and Map Reduce     167
  Grouping Results of Find Operations in the MongoDB Shell     167
  Using Aggregation to Manipulate the Data During Requests from the MongoDB Shell     171
  Applying Map Reduce to Generate New Data Results Using the MongoDB Shell     178
  Summary     183
  Q&A     184
  Workshop     184

Part III: Using MongoDB in Applications

HOUR 10: Implementing MongoDB in Java Applications     185
  Understanding MongoDB Driver Objects in Java     185
  Finding Documents Using Java     194
  Counting Documents in Java     201
  Sorting Results Sets in Java     203
  Summary     207
  Q&A     207
  Workshop     207
HOUR 11: Accessing Data from MongoDB in Java Applications     209
  Limiting Result Sets Using Java     209
  Finding a Distinct Field Value in Java     218
  Grouping Results of Find Operations in Java Applications     221
  Using Aggregation to Manipulate the Data During Requests from Java
  Applications     225
  Summary     228
  Q&A     229
  Workshop     229
HOUR 12: Working with MongoDB Data in Java Applications     231
  Adding Documents from Java     231
  Removing Documents from Java     236
  Saving Documents from Java     239
  Updating Documents from Java     241
  Upserting Documents from Java     245
  Summary     249
  Q&A     249
  Workshop     249
HOUR 13: Implementing MongoDB in PHP Applications     251
  Understanding MongoDB Driver Objects in PHP     251
  Finding Documents Using PHP     259
  Counting Documents in PHP     265
  Sorting Result Sets in PHP     267
  Summary     270
  Q&A     270
  Workshop     270
HOUR 14: Accessing Data from MongoDB in PHP Applications     273
  Limiting Result Sets Using PHP     273
  Finding Distinct Field Values in PHP     281
  Grouping Results of Find Operations in PHP Applications     283
  Using Aggregation to Manipulate the Data During Requests from PHP Applications     287
  Summary     290
  Q&A     290
  Workshop     290
HOUR 15: Working with MongoDB Data in PHP Applications     293
  Adding Documents from PHP     293
  Removing Documents from PHP     297
  Saving Documents from PHP     299
  Updating Documents from PHP     302
  Upserting Documents from PHP     305
  Summary     308
  Q&A     309
  Workshop     309
HOUR 16: Implementing MongoDB in Python Applications     311
  Understanding MongoDB Driver Objects in Python     311
  Finding Documents Using Python     318
  Counting Documents in Python     324
  Sorting Result Sets in Python     326
  Summary     329
  Q&A     329
  Workshop     329
HOUR 17: Accessing Data from MongoDB in Python Applications     331
  Limiting Result Sets Using Python     331
  Finding Distinct Field Value in Python     339
  Grouping Results of Find Operations in Python Applications     341
  Using Aggregation to Manipulate the Data During Requests from Python Applications     344
  Summary     347
  Q&A     347
  Workshop     348
HOUR 18: Working with MongoDB Data in Python Applications     349
  Adding Documents from Python     349
  Removing Documents from Python     353
  Saving Documents from Python     355
  Updating Documents from Python     358
  Upserting Documents from Python     361
  Summary     364
  Q&A     364
  Workshop     365
HOUR 19: Implementing MongoDB in Node.js Applications     367
  Understanding MongoDB Driver Objects in Node.js     367
  Finding Documents Using Node.js     377
  Counting Documents in Node.js     383
  Sorting Results Sets in Node.js     385
  Summary     388
  Q&A     389
  Workshop     389
HOUR 20: Accessing Data from MongoDB in Node.js Applications     391
  Limiting Result Sets Using Node.js     391
  Finding Distinct Field Value in Node.js     400
  Grouping Results of Find Operations in Node.js Applications     402
  Using Aggregation to Manipulate the Data During Requests from Node.js Applications     406
  Summary     409
  Q&A     409
  Workshop     410
HOUR 21: Working with MongoDB Data in Node.js Applications     411
  Adding Documents from Node.js     411
  Removing Documents from Node.js     416
  Saving Documents from Node.js     419
  Updating Documents from Node.js     423
  Upserting Documents from Node.js     427
  Summary     431
  Q&A     431
  Workshop     431

Part IV: Additional MongoDB Concepts

HOUR 22: Database Administration Using the MongoDB Shell     433
  Working with Databases and Collections     433
  Working with Indexes     438
  Understanding Performance and Diagnostic Tasks     443
  Repairing a MongoDB Database     453
  Backing Up MongoDB     454
  Summary     455
  Q&A     456
  Workshop     456
HOUR 23: Implementing Replication and Sharding in MongoDB     459
  Applying Replication in MongoDB     459
  Implementing Sharding in MongoDB     468
  Summary     479
  Q&A     479
  Workshop     479
HOUR 24: Implementing a MongoDB GridFS Store     481
  Understanding the GridFS Store     481
  Implementing a GridFS in the MongoDB Shell     482
  Implementing a MongoDB GridFS Using the Java MongoDB Driver     484
  Implementing a MongoDB GridFS Using the PHP MongoDB Driver     489
  Implementing a MongoDB GridFS Using the Python MongoDB Driver     494
  Implementing a MongoDB GridFS Using the Node.js MongoDB Driver     497
  Summary     502
  Q&A     502
  Workshop     502


Index     505

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