A warm welcome to the MongoDB course by Uplatz.
MongoDB is a very popular NoSQL database that is fast and scalable. When scalability and speed are required, this database shines. It is a document database which imposes very little and has drivers for many programming languages. MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era.
Uplatz provides practical training on MongoDB with focus on real-world scenarios and examples. This MongoDB training course will get you familiar with this unique database and arm you with the essential skills to start using mongo to power your software application. This course will teach you how to get mongo running, manipulate and query data, index for speed, and arm you with the essential skills required to start using Mongo.
As table-based databases struggle to cope with an ever-growing variety of data, this MongoDB training course will show you how its document-oriented nature will allow you to quickly build highly scalable applications. You will gain the skills to develop, administer, secure, and scale MongoDB-based applications, and acquire low-cost, data-driven applications with MongoDB as the back-end database.
This MongoDB course is designed to give delegates experience of installing and using the MongoDB database. It introduces delegates to the concept of a document-oriented database, then shows how to set up MongoDB for use. Delegates use the built-in shell and various APIs to build a database access application and manipulate data. We also investigate optimising queries using indexes and aggregating data with MongoDB functions.
The course ends with some popular interview questions that you will face in a MongoDB database developer/architect/DBA job role.
MongoDB Course Curriculum
Introduction to NoSQL Architecture with MongoDB
•What Is MongoDB?
•Downloading the required Software
•Installation and Configuration
•MongoDB Advantages
•MongoDB Data Modelling
•MongoDB Tools, Collection and Documents
•Configuration Files
•Touring the File Structure
•Securing the Installation
CRUD and the MongoDB Shell
•Introduction to CRUD
•Introduction to the MongoDB API
•Creating a Database, Collection and Documents
Data Modelling and Schema Design
•MongoDB Database References
•Model Tree Structures
•MongoDB Analyzing Queries
•MongoDB Atomic Operations
•MongoDB Map Reduce
•MongoDB Text Search
•MongoDB Regular Expression
•MongoDB Capped Collections
•Data Storage
•Working with Datatypes
•Collections
•Document Datatypes
•Creating _id Fields
Querying Data
•Databases and Collections
•Querying Collections
•Working with Operators
•Referencing a Database
•Querying Dates
Manipulating Data
•Inserting Data into Collections
•Updates
•Deletes
•Atomic Operations
•Removing Data
•Capped Collections
High Performance Options
•Creating Indexes
•Manipulating Index Behaviour
•Index Properties
•Specialised Index Types
•Replication
•Sharding
Aggregation Framework
•Aggregating Results
•Single Purpose Functions
•The Aggregation Pipeline
•Date Aggregation Operators
Indexing
•Indexing and Aggregation
•Indexing, query profiling and the query optimizer
•Geospatial Indexes
•Index types, Index Properties
•MongoDB Advanced Indexing
•MongoDB Indexing Limitations
•Aggregation Introduction
Replication
•Replication Concept
•Failover & Recovery
Administration
•MongoDB Deployment and Cluster setup
•MongoDB GridFS
•Trident Spout
•Working with Replica Sets
•MongoDB Sharding
•MongoDB Create Backup
Using an API
•Introducing Drivers
•Java
•PHP
•Ruby
•Python
MongoDB Course Objectives
•Develop highly scalable and cost-efficient applications with MongoDB
•Build efficient MongoDB data models for enterprise-scale applications
•Enhance performance with indexing and sharding
•Manage consistency with write concern and read preference
•Process data and compute results with aggregation pipelines and MapReduce
By the end of the MongoDB training, the students will be able to:
•Install and setup the MongoDB database
•Use the MongoDB shell to access the database
•Create, retrieve, update and delete data
•Use aggregation queries
•Appreciate the APIs used to interface with MongoDB
•Understand the document based structure of the database
•Use an API to develop applications
•Optimise queries with indexes
•Document based data modelling
•Create document collections
•CRUD operations with the Mongo shell
•Aggregation pipelines
•MongoDB transactions
•MongoDB access using programming languages
•Create indexes
