Tuesday, July 21, 2020

Trainer MongoDB , Hery Purnama

Hery Purnama 081223344506 is Corporate IT Trainer for MONGODB Developer and DBA training in jakarta, bandung, surabaya, for inquiry please whatsapp.

Silabus Mongodb


DURATIONS : 5 DAYS (09.00-16.00)
MongoDB is one of the most important NoSQL databases you can work with these days. It's extremely popular and MongoDB developers are in high demand.
No matter if you're building web applications, mobile applications or any other kind of application or if you're a data scientist - you'll need to work with data. Storing data, querying it efficiently and minimizing complexities whilst optimizing performance are crucial tasks.
MongoDB makes working with data simple - it's built on a philosophy that prioritizes performance and efficiency.
In this course, you'll learn all about MongoDB from scratch. No prior MongoDB or database experience is required!

What you'll learn
Use MongoDB to its full potential in future projects
Write efficient and well-performing queries to fetch data in the format you need it
Use all features MongoDB offers you to work with data efficiently
In detail, you'll learn
>>  how to install and use MongoDB locally and in the cloud (MongoDB Atlas)
>>  how to perform CRUD (Create, Read, Update, Delete) operations on MongoDB databases
>>  how to filter for data efficiently
>>  how to work with both the Mongo Shell and drivers (e.g. Node.js driver)
>>  how to increase performance by using indexes (and how to use the right indexes!)
>>  how to use the amazing "Aggregation Framework" that's built into MongoDB
>>  what replica sets and sharding are
>>  how to use MongoDB Atlas - the cloud solution offered by MongoDB
>>  how to use the serverless platform (Stitch) offered by MongoDB
>>  and much more!

NO prior knowledge on databases (of any kind) is required
General web development or mobile development knowledge will help you but is not a must-have
You can use any operating system - Windows, macOS, Linux, it'll all work!
This course is a hands-on course - you'll learn by writing code/ commands. We'll work on a wide variety of example data and use-cases and by the end of the course, you'll have all the knowledge you need to work with MongoDB in your next project!
This course is for you, no matter which programming language you plan on using, you'll learn a uniform way of interacting with MongoDB that can be easily applied to any language.

This course is for you
>>  if you're brand-new to MongoDB and databases in general
>>  if you got some basic database or even MongoDB experience - in this course, there are different entry points you can choose from!
>>  if you are a web or mobile app (or desktop app) developer who considers using MongoDB
>>  if you're working in a team that considers using MongoDB (or already does use it)
>>  if you are primarily using SQL-based databases so far and you want to explore the most popular NoSQL alternative

This course is NOT for you
>>  if you're looking for a guide on administrating MongoDB servers => This course focuses on the commands/ queries you write, it's NOT an administration course

Who this course is for
Developers or data scientists who plan on (or are already) working with MongoDB
Everyone who's interested in NoSQL databases
Both beginner and advanced MongoDB users who want to explore all the core features

Course content
What is MongoDB?
The Key MongoDB Characteristics (and how they differ from SQL Databases)
Understanding the MongoDB Ecosystem
Installing MongoDB
MongoDB Installation FAQ + Support
Time To Get Started!
Shell vs Drivers
MongoDB + Clients The Big Picture
Course Outline
How To Get The Most Out Of The Course

Understanding the Basics & CRUD Operations
Module Introduction
Understanding Databases, Collections & Documents
The Shell & MongoDB Drivers for Different Languages
Creating Databases & Collections
Understanding JSON Data
Comparing JSON & BSON
Create, Read, Update, Delete (CRUD) & MongoDB
Finding, Inserting, Deleting & Updating Elements
Understanding "insertMany()"
Diving Deeper Into Finding Data
"update" vs "updateMany()"
Understanding "find()" & the Cursor Object
Understanding Projection
Embedded Documents & Arrays - The Theory
Working with Embedded Documents
Working with Arrays
Accessing Structured Data
Time to Practice - The Basics & CRUD Operations

Schemas & Relations How to Structure Documents 
Resetting Your Database
Module Introduction
Why Do We Use Schemas?
Structuring Documents
Data Types - An Overview
Data Types in Action
Data Types & Limits
How to Derive your Data Structure - Requirements
Understanding Relations
One To One Relations - Embedded
One To One - Using References
One To Many - Embedded
One To Many - Using References
Many To Many - Embedded
Many To Many - Using References
Summarizing Relations
Using "lookUp()" for Merging Reference Relations
Planning the Example Exercise
Implementing the Example Exercise
Understanding Schema Validation
Adding Collection Document Validation
Changing the Validation Action

Exploring The Shell & The Server
Finding Available Options
Setting "dbpath" & "logpath"
Exploring the MongoDB Options
MongoDB as a Background Service
Using a Config File
Shell Options & Help

Using the MongoDB Compass to Explore Data Visually
Module Introduction
Exploring the MongoDB Compass

Diving Into Create Operations
Creating Documents - An Overview
Understanding "insert()" Methods
Working with Ordered Inserts
Understanding the "writeConcern"
The "writeConcern" in Practice
What is Atomicity?
Time to Practice - Create Operations

Read Operations - A Closer Look Module Introduction
Methods, Filters & Operators
Operators - An Overview
Query Selectors & Projection Operators
Understanding "findOne()" & "find()"
Working with Comparison Operators
Querying Embedded Fields & Arrays
Understanding "$in" and "$nin"
"$or" and "$nor"
Understanding the "$and" Operator
Using "$not"
Diving Into Element Operators
Working with "$type"
Understanding Evaluation Operators - "$regex"
Understanding Evaluation Operators - "$expr"
Time to Practice - Read Operations
Diving Deeper Into Querying Arrays
Using Array Query Selectors - "$size"
Using Array Query Selectors - "$all"
Using Array Query Selectors - "$elemMatch"
Time to Practice - Array Query Selectors
Understanding Cursors
Applying Cursors
Sorting Cursor Results
Skipping & Limiting Cursor Results
Using Projection to Shape our Results
Using Projection in Arrays
Understanding "$slice"
Useful Resources & Links

Update Operations
Updating Fields with "updateOne()", "updateMany()" and "$set"
Updating Multiple Fields with "$set"
Incrementing & Decrementing Values
Using "$min", "$max" and "$mul"
Getting Rid of Fields
Renaming Fields
Understanding "upsert()"
Updating Matched Array Elements
Updating All Array Elements
Finding & Updating Specific Fields
Adding Elements to Arrays
Removing Elements from Arrays
Understanding "$addToSet"

Understanding Delete Operations
Understanding "deleteOne()" & "deleteMany()"
Deleting All Entries in a Collection

Working with Indexes
What Are Indexes & Why Do We Use Them?
Adding a Single Field Index
Indexes Behind the Scenes
Understanding Index Restrictions
Creating Compound Indexes
Using Indexes for Sorting
Understanding the Default Index
Configuring Indexes
Understanding Partial Filters
Applying the Partial Index
Understanding the Time-To-Live (TTL) Index
Query Diagnosis & Query Planning
Understanding Covered Queries
How MongoDB Rejects a Plan
Using Multi-Key Indexes
Understanding Text Indexes
Text Indexes & Sorting
Creating Combined Text Indexes
Using Text Indexes to Exclude Words
Setting the Default Language & Using Weights

Working with Geospatial Data
Module Introduction
Adding GeoJSON Data
Running Geo Queries
Adding a Geospatial Index to Track the Distance
Adding Additional Locations
Finding Places Inside a Certain Area
Finding Out If a User Is Inside a Specific Area
Finding Places Within a Certain Radius
Time to Practice - Geospatial Data

Understanding the Aggregation Framework
What is the Aggregation Framework?
Getting Started with the Aggregation Pipeline
Using the Aggregation Framework
Understanding the Group Stage
Diving Deeper Into the Group Stage
Time to Practice - The Aggregation Framework
Working with $project
Turning the Location Into a geoJSON Object
Transforming the Birthdate
Using Shortcuts for Transformations
Understanding the $isoWeekYear Operator
$group vs $project
Pushing Elements Into Newly Created Arrays
Understanding the $unwind Stage
Eliminating Duplicate Values
Using Projection with Arrays
Getting the Length of an Array
Using the $filter Operator
Applying Multiple Operations to our Array
Understanding $bucket
Diving Into Additional Stages
How MongoDB Optimizes Your Aggregation Pipelines
Writing Pipeline Results Into a New Collection
Working with the $geoNear Stage

Working with Numeric Data
Number Types - An Overview
MongoDB Shell & Data Types
Understanding Programming Language Defaults
Working with int
Working with int
Doing Maths with Floats ints & ints
What's Wrong with Normal Doubles?
Working with Decimal bit

MongoDB & Security
Module Introduction
Understanding Role Based Access Control
Creating a User
Assigning Roles to Users & Databases
Updating & Extending Roles to Other Databases
Time to Practice - Security
Adding SSL Transport Encryption
Encryption at REST

Performance, Fault Tolerancy & Deployment
What Influences Performance?
Understanding Capped Collections
What are Replica Sets?
Understanding Sharding
Deploying a MongoDB Server
Using MongoDB Atlas
Backups & Setting Alerts in MongoDB Atlas
Connecting to our Cluster

What are Transactions?
A Typical Usecase
How Does a Transaction Work?

From Shell to Driver
Splitting Work Between the Driver & the Shell
Preparing our Project
Installing Visual Studio Code
Installing the Node.js Driver
Connecting Node.js & the MongoDB Cluster
Storing Products in the Database
Storing the Price as bit Decimal
Fetching Data From the Database
Creating a More Realistic Setup
Getting a Single Product
Editing & Deleting Products
Implementing Pagination
Adding an Index
Signing Users Up
Adding an Index to Make the Email Unique
Adding User Sign In

Introducing Stitch
Module Introduction
Stitch & MongoDB Realm
What is Stitch?
Start Using Stitch
Adding Stitch to our App & Initializing It
Adding Authentication
Sending Data Access Rules
Fetching & Converting Data
Deleting Products
Finding a Single Product
Adding Products
Updating Products
Switching to User Email & Password Authentication
Adding User Sign Up & Confirmation
Adding User Login
Rules & Real Users
The Current State of Authentication
Functions & Triggers


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