دوره حضوری بانک های اطلاعاتی غیر رابطه ای 4 MongoDB

مدت دوره:

60 ساعت

پيش نياز:

آشنایی مختصر با مفاهیم پایه بانکهای اطلاعاتی به فهم بهتر دوره کمک خواهد کرد.

مخاطبین دوره بانک های اطلاعاتی غیر رابطه ای MongoDB 4

 برنامه‌نویسان و یا تحلیل‌گران داده که می‌خواهند کار با MongoDB را شروع کنند و یا در حال حاضر با آن کار می‌کنند .
 هر علاقه‌مندی که تمایل به کار با پایگاه داده‌های NoSQL را دارد.
 همه برنامه نویسان مبتدی و حرفه‌ای بر روی MongoDB که تمایل به مرور مباحث سرفصل ارایه شده، دارند.
 علاقه‌مندانی که نیاز به یادگیری مباحث راهبری (administrating MongoDB servers) دارند، توجه کنند که این دوره اطلاعات زیادی را در اختیار آنها قرار نمی‌دهد و تمرکز اصلی بر مباحث بر روی " commands/ queries" است.

سرفصل دوره بانک های اطلاعاتی غیر رابطه ای MongoDB 4

Chapter 1
 Course Outline
 Introduction
• What is MongoDB
• The Key MongoDB Characteristics (and how they differ from SQL Databases)
• Understanding the MongoDB Ecosystem
• Installing MongoDB
• Shell vs Drivers
• MongoDB Clients The Big Picture
 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
 Schemas Relations How to Structure Documents
• Module Introduction
• Why Do We Use Schemas?
• Structuring Documents
• Data Types - An Overview
• Data Types in Action
• 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
• Understanding Schema Validation
• Adding Collection Document Validation
• Changing the Validation Action
 Exploring The Shell The Server
• Module Introduction
• 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
• Module Introduction
• Creating Documents - An Overview
• Understanding "insert()" Methods
• Working with Ordered Inserts
• Understanding the "writeConcern"
• The "writeConcern" in Practice
• What is Atomicity?
• Importing Data
 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 – "$expr"
• Diving Deeper Into Querying Arrays
• Using Array Query Selectors – "$size"
• Using Array Query Selectors – "$all"
• Using Array Query Selectors – "$elemMatch"
• Understanding Cursors
• Applying Cursors
• Sorting Cursor Results
• Skipping Limiting Cursor Results
• Using Projection to Share our Results
• Using Projection in Arrays
• Understanding "$slice"
 Update Operations
• Module Introduction
• Updating Fields with "updateOne()", "updateMany()" and "$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 "$addToSet"
 Understanding Delete Operations
• Module Introduction
• Understanding "deleteOne()" & "deleteMany()"
• Deleting All Entries in a Collection
Chapter 2
 Working with Indexes
• Module Introduction
• What Are Indexes? Why Do We Use Them?
• Adding a Single Field Index
• Understanding Index Restrictions
• Creating Compound Indexes
• Using Indexes for Sorting
• Understanding the Default Index
• Configuring Indexes
• Understanding Partial Filters
• Applying the Partial Index
• Understanding the Time-To-Live (TTL) Index
• Query Diagnosis & Query Planning
• Understanding Covered Queries
• How MongoDB Rejects a Plan
• Using Multi-Key Indexes
• Understanding Text Indexes
• Text Indexes & Sorting
• Creating Combined Text Indexes
• Using Text Indexes to Exclude Words
• Setting the Default Language & Using Weights
• Building Indexes
 Working with Geospatial Data
• Module Introduction
• Adding GeoJSON Data
• Running Geo Queries
• Adding a Geospatial Index to Track the Distance
• Adding Additional Locations
• Finding Places Inside a Certain Area
• Finding Out If a User Is Inside a Specific Area
• Finding Places Within a Certain Radius
 Understanding the Aggregation Framework
• Module Introduction
• What is the Aggregation Framework?
• Getting Started with the Aggregation Pipeline
• Using the Aggregation Framework
• Understanding the Group Stage
• Diving Deeper Into the Group Stage
• Working with "$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
• Writing Pipeline Results Into a New Collection
• Working with the "$geoNear" Stage
 Working with Numeric Data
• Module Introduction
• Number Types - An Overview
• Understanding Programming Language Defaults
• Working with int32
• Working with int64
• Doing Math's with Floats, int32s & int64s
• What's Wrong with Normal Doubles
• Working with Decimal 128bit
 MongoDB Security
• Module Introduction
• Understanding Role Based Access Control
• Roles – Examples
• Creating a User
• Built-In Roles - An Overview
• Assigning Roles to Users & Databases
• Updating & Extending Roles to Other Databases
• Adding SSL Transport Encryption
• Encryption at REST
 Performance, Fault, Tolerancy & Deployment
• Module Introduction
• 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
 Transactions
• Module Introduction
• What are Transactions?
• A Typical Usecase
• How Does a Transaction Work?
 From Shell to Driver
• Module Introduction
• 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 128bit 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
• What is Stitch?
• Preparations
• 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
• Functions & Triggers
 NoSQL Data Modeling Essential Training
• The Basics
• Transforming the Conceptual Model
• Document Style Patterns
• Columnar Style Patterns

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