MongoDB Data Access

In the course MongoDB Data Access participants learn to access and manage the document-oriented database MongoDB.

MongoDB Intro

The course MongoDB Data Access starts with a discussion of the MongoDB Architecture, the characteristics of the JSON-Based Document Store and the scalability of MongoDB. Installing and starting MongoDB and using the JavaScript console is treated as well.

MongoDB Data Model

Next the MongoDB Data Model is covered with the _id identifier, capped collections, blobs, schema evolution and polymorphic schemas. Attention is also paid to MongoDB drivers, the MongoDB shell and network access.

Queries in MongoDB

Queries in MongoDB are also discussed. Database creation is covered as well as insert queries and the use of Find One, All, Some, MapReduce, Projections and Pagination.

MongoDB Administration

The course MongoDB Data Access then pays attention to the management of the MongoDB database with creating users, stopping processes and monitoring with the mongostat and mongotop utilities. Configuring Replica Sets, Clustering, Load Balancing, Fault tolerance and creating Backups is also on the program.

Link to Programming Languages

Finally the course covers how the MongoDB database can be used from different programming languages ​​such as Python, Java and JavaScript and a number of advanced operations in MongoDB are treated.

Audience MongoDB Data Access

The course MongoDB Data Access is intended for developers and database administrators who want to learn how the NoSQL database MongoDB can be accessed and managed.

Prerequisites MongoDB Data Access

Participants must have basic computer skills to intend the course MongoDB Data Access. Knowledge of data access with other databases is beneficial for good understanding.

Realization Training MongoDB Data Access

The theory is treated on the basis of presentations. The concepts are explained with demos. The theory is interspersed with exercises. The course times are from 9.30 to 16.30.

Official Certificate MongoDB Data Access

Participants receive an official certificate MongoDB Data Access after successful completion of the course.

Modules

Module 1 : Intro MongoDB

• MongoDB Design Philosophy
• MongoDB Architecture
• Document Oriented Databases
• Speed, Scalability, and Agility
• Non-Relational Approach
• No SQL Advantages and Disadvantages
• JSON-Based Document Store
• Performance vs. Features
• Running the Database Anywhere
• MongoDB Installation
• Starting MongoDB
• JavaScript Console

Module 2 : MongoDB Data Model

• JSON and BSON
• The Identifier _id
• Capped Collections
• Polymorphic Schema’s
• Object Orientation
• Schema Evolution
• MongoDB Drivers
• MongoDB Shell
• Using Authentication
• Using Authorization
• Controlling Network Access
• MongoDB Cloud Manager

Module 3 : MongoDB Queries

• Create Database in MongoDB
• Create Collection
• Insert into Collection
• Insert Multiple Documents
• Id Field
• Find One, All and Some
• Query
• Filter Regex
• Indices
• MapReduce
• Projections
• Pagination

Module 4 : MongoDB Administration

• Renaming collections
• Viewing Collections Stats
• Viewing Database stats
• mongostat and mongotop utilities
• Killing processes
• Setting up users
• Replica Set Configurations
• Clustering and Load Balancing
• Fault tolerance and Backups

Module 5 : Connecting with Languages

• Python connecting with PyMongo
• Aggregation with PyMongo
• MapReduce with PyMongo
• Java Clients
• Update and Delete with Java
• Query and insert with Java
• MongoDB and JPA
• MongDB and REST
• MongoDB and NodeJS

Module 6 : Advanced Operations

• Atomic find
• Atomic modify
• Atomic counters
• Server side scripts
• Capped collection cursors
• Converting collections
• Storing binary data
• Storing large data
• Storing data to GridFS