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Development with MongoDB

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Duration: 2 Days

Method: Instructor Led - Hands On

Price: $1125.00

Course Code: MO1000


Audience

Take this Development with MongoDB class if you or your team wants to learn MongoDB with an emphasis for developers and MapReduce.

Description

In this Development with MongoDB training class, students become proficient in developing with MongoDB using Java.

Objectives

Upon successful completion of this course, the student will be able to:

  • Obtain an overview of the "NoSQL" landscape
  • Learn about the MongoDB developer value proposition
  • Learn the MongoDB architecture
  • Learn how to install and configure MongoDB
  • Learn essential system administration
  • Learn to develop solutions in Java

Prerequisites

Familiarity with Java programming and using Eclipse development environment is required.

Topics

  • I. Introduction to MongoDB
    • MongoDB
    • MongoDB Features
    • MongoDB's Logo
    • Positioning of MongoDB
    • MongoDB Applications
    • MongoDB Data Model
    • MongoDB Limitations
    • MongoDB Use Cases
    • MongoDB Query Language (QL)
    • The CRUD Operations
    • The
    • find
    • Method
    • The
    • findOne
    • Method
    • A MongoDB QL Example
    • Data Inserts
    • MongoDB vs Apache CouchDB
    • Summary
  • II. MongoDB Data Model
    • The BSON Data Format
    • Database Terminology
    • MongoDB Data Model
    • The _id Primary Key Filed Considerations
    • Indexes
    • (Traditional) Data Modeling in RDBMS
    • Data Modeling in MongoDB
    • An Example of a Data Model in MongoDB
    • MongoDB Data Modeling
    • A Sample JSON Document Matching the Schema
    • To Normalize or Denormalize?
    • MongoDB Limitations
    • Data Lifecycle Management
    • Data Lifecycle Management: TTL
    • Data Lifecycle Management: Capped Collections
    • Summary
  • III. MongoDB Architecture
    • MongoDB Nexus Architecture
    • Blending the Best of Both Worlds
    • What Makes MongoDB Fast?
    • Pluggable Storage Engines
    • Data Sharding
    • Sharding in MongoDB
    • Data Replication
    • A Sample Sharded Cluster Diagram
    • GridFS
    • Getting a File from GridFS
    • MongoDB Security
    • Authentication
    • Data and Network Encryption
    • Summary
  • IV. MongoDB Administration
    • The Admin Shell
    • Getting Help
    • Admin Commands
    • Starting MongoDB
    • The mongod Web UI
    • Running MongoDB .JS Scripts
    • Shell Helper to JavaScript Equivalent Map
    • A MongoDB Script Example
    • Connecting to MongoDB
    • User Authentication
    • Authentication Options
    • Import / Export Operations
    • MongoDB Extended JSON and Strict Mode
    • Examples of Strict Mode Encoding
    • Examples of Data Import / Export
    • The Robo3T (formerly RoboMongo) Tool
    • Robo3T Connections
    • Connection Manager
    • Viewing Databases, Collections and Documents
    • Edit Capabilities
    • Admin Shell
    • Summary
  • V. Working with Data in MongoDB
    • Reading Data in MongoDB
    • The Query Interface
    • Query Syntax is Driver-Specific
    • Projections
    • Query and Projection Operators
    • MongoDB Query to SQL Select Comparison
    • Cursors
    • Cursor Expiration
    • Writing Data in MongoDB
    • An Insert Operation Example
    • The Update Operation
    • An Update Operation Example
    • A Remove Operation Example
    • Limiting Return Data
    • Data Sorting
    • Aggregating Data
    • Aggregation Stages
    • Accumulators
    • An Example of an Aggregation Pipe-line
    • Map-Reduce
    • Summary
  • VI. Indexes in MongoDB
    • Indexes in MongoDB
    • Creating an Index
    • Listing Existing Indexes
    • The Sort Order
    • Using the Explain() Method
    • Main Index Types
    • The _id Field
    • Single and Compound Indexes
    • Multikey Indexes
    • Other Index Types
    • Index Properties
    • Examples of Creating Indexes with Index Properties
    • Summary
  • VII. Accessing MongoDB from Node.js
    • Getting Started
    • The Connection URL
    • Obtaining a Collection
    • Inserting Documents
    • Updating a Document
    • Querying for Documents
    • Deleting a Document
    • Connection Pooling
    • Summary
  • VIII. MongoDB Java Client
    • Accessing MongoDB from a Java Client
    • The MongoDB Java Driver
    • Using the Synchronous Driver in a Java Application
    • Connecting to MongoDB
    • Connecting to a Standalone Instance
    • Connection Options and the MongoClientURI
    • Using MongoClientURI
    • Connecting to a Replica Set
    • Connecting to a Sharded Cluster
    • Connection Configuration
    • Connecting and Accessing a Collection
    • Create a Collection
    • Insert a Document
    • Update
    • Update Operators
    • Read (Find)
    • Read (Find) Multiple Documents
    • Delete
    • BSON Library
    • Impedance Mismatch
    • Morphia Object Mapper
    • Setup
    • Connecting
    • Mapping
    • Simple Mapping
    • Saving Data
    • Queries
    • Summary
  • IX. Securing MongoDB
    • Security Overview
    • Your Mileage May Vary
    • Security is Your Responsibility
    • First Things First
    • MongoDB Security
    • A MongoDB Security Checklist
    • Enable Access Control and Enforce Authentication
    • Configure Role-Based Access Control
    • Create an Admin User
    • Create a Database User
    • Enable Authentication
    • Encrypt Communication
    • Encrypt and Protect Data
    • Limit Network Exposure
    • Audit System Activity
    • Run MongoDB with a Dedicated User
    • Run MongoDB with Secure Configuration Options
    • Compliance
    • Summary
  • X. MapReduce in MongoDB
    • The Client – Server Processing Pattern
    • Distributed Computing Challenges
    • MapReduce Defined
    • Google's MapReduce
    • MapReduce Phases
    • The Map Phase
    • The Reduce Phase
    • MapReduce Word Count Job
    • MapReduce Shared-Nothing Architecture
    • Similarity with SQL Aggregation Operations
    • Problems Suitable for Solving with MapReduce
    • Typical MapReduce Jobs
    • Fault-tolerance of MapReduce
    • Distributed Computing Economics
    • MapReduce in MongoDB
    • Example - part 1
    • Example - part 2
    • Example – Part 3
    • Example – Part 4
    • Example – Part 5
    • Example – Part 6
    • MapReduce vs Aggregation Pipelines in MongoDB
    • Summary