MongoDB Training

MongoDB是一个非常流行的NoSQL数据库，具有快速和可扩展性。当需要可伸缩性和速度时，此数据库会发光。它是一个文档数据库，几乎没有什么用，并且具有许多编程语言的驱动程序。MongoDB是为现代应用程序开发人员和云时代构建的基于文档的通用分布式数据库。

Uplatz提供了有关MongoDB的实践培训，重点是实际场景和示例。此MongoDB培训课程将使您熟悉此独特的数据库，并使您掌握开始使用mongo为软件应用程序提供动力的基本技能。本课程将教您如何运行mongo，如何操作和查询数据，为速度编制索引以及如何开始使用Mongo所需的基本技能。

随着基于表的数据库难以应对日益增长的各种数据，此MongoDB培训课程将向您展示其面向文档的性质如何使您能够快速构建高度可扩展的应用程序。您将获得开发，管理，保护和扩展基于MongoDB的应用程序的技能，并获得以MongoDB作为后端数据库的低成本，数据驱动的应用程序的技能。

此MongoDB课程旨在为与会代表提供安装和使用MongoDB数据库的经验。它向代表介绍了面向文档的数据库的概念，然后说明了如何设置要使用的MongoDB。代表使用内置的外壳程序和各种API来构建数据库访问应用程序并处理数据。我们还将研究使用索引优化查询以及使用MongoDB函数聚合数据。

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 17 lectures (12 hours, 36 mins) | Size: 4.65 GB
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