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

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