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    MongoDB Training (beginner to expert level)

    Posted By: Sigha
    MongoDB Training (beginner to expert level)

    MongoDB Training (beginner to expert level)
    Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 4.65 GB
    Genre: eLearning Video | Duration: 17 lectures (12 hours, 36 mins) | Language: English

    Understand in-depth the concepts of MongoDB and apply them. Become a MongoDB Database Architect. Apply for MongoDB jobs.

    What you'll learn

    Understand what is MongoDB and its application
    Prepare for MongoDB Certification
    Introduction, Installation, Configuration of MongoDB
    CURD Operations (Create and Insert)
    CURD Operations (Update and Delete)
    Data Modeling and Model Tree Structure
    On-demand Materialized Views, Capped Collections, Text Search
    Database References, Write Concern, Aggregation
    Operators - Query Projection, Comparison, Logical
    Operators - Evaluation, Array, Update
    Update Documents, Field Update Operator, Array Update Operator, Bitwise Update Operator
    Introduction to mongo Shell
    mongo Shell Methods - Collection Methods, Cursor and Database Methods, Bulk Operation Methods
    Indexes and Storage
    Replication and Deploying the Replication
    Sharding
    Administering MongoDB
    Interview Questions
    Practical Demo

    Requirements

    Enthusiasm and determination to make your mark on the world!

    Description

    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

    Who this course is for:

    Back-End Developers - MongoDB
    MongoDB Database Architects
    MongoDB DBAs
    Full Stack JavaScript Developers (Node, Mongo, AWS, REST)
    Data Engineers and Data Scientists
    Big Data Developers and Analysts
    ETL and Database Developers
    Students aspiring for a career in MongoDB and Big Data

    MongoDB Training (beginner to expert level)


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