پیشنهاد فرادرس

آموزش طراحی، ایندکس گذاری و کوئری در MongoDB 

دسته بندی ها: آموزش مانگو دی بی (MongoDB) ، آموزش های Packtpub ، پایگاه داده

پاایگاه داده MongoDB امکان ذخیره و پردازش مجموعه های گسترده داده ها را در راه هایی افزایش می دهد که ارزش کسب و کار را دارند.  MongoDB برای استفاده در کلان داده مناسب است. در این دوره با MongoDB، استراتژی های ایندکس کردن، فرمان های CRUD از MongoDB client، نوشتن کوئری های موثر، انواع داده در MongoDB و غیره آشنا می شوید.

سرفصل:

  • معرفی دوره
  • Schema چیست؟ و چگونه در MongoDB اعمال می شود؟
  • انواع داده در MongoDB
  • ایندکس ها
  • مدیریت ایندکس
  • CRUD
  • معرفی کوئری های MongoDB CRUD
  • ایجاد پایگاه داده جدید
  • ایجاد مجموعه های جدید
  • استخراج داده از مجموعه
  • خواندن فرمان
  • به روزرسانی فرمان
  • Aggregation
  • مدیریت پایگاه داده
  • نگهداری پایگاه داده و مجموعه ها
  • و غیره
به این نوشته امتیاز دهید 1 2 3 4 5 بدون امتیاز
Learning MongoDB Schema, Indexes and Queries [Video] Publisher:Packtpub Author:Micheal Shallop Duration:6 hours 27 minutes

Understand how good design facilitates scale and achieve top performance by gaining insights into indexing strategies.
MongoDB makes it possible to store and process large sets of data in ways that increase business value. The flexibility of unstructured, schema-less, storage, combined with robust querying and post-processing functionality, make MongoDB a compelling solution for enterprise big data needs.
We need to discuss database schemas. Yes, MongoDB is touted as schema-less but here's where we show that proper design is what allows our collections to scale. Indexing is something everyone talks about, but few understand. We'll explain MongoDB indexing, and index properties because a successful indexing strategy is a key to performance and scaling. Finally, we'll talk about CRUD commands from the MongoDB client and how to write effective queries.
Taking this course will help you understand supported standards and data types in MongoDB, and best practices to design collections to scale and index them. Also, you will learn some basic CRUD commands.
Style and Approach
Through real-world and best-practice data schemas, we show you how design impacts performance and show you how to scale your system. We demonstrate the effective use of MongoDB queries for inserting, updating, deleting, and fetching data.
Released: Friday, August 31, 2018
Imposing Schema on a Schema-Less System
The Course Overview
Schema – Traditional Definition and How It’s Applied To MongoDB
Denormalization Defined as a Corollary to Data Normalization
MongoDB Data Types
Indexes – The Keys to Speed
Indexes – What Indexes Do, How They’re Stored, Used, and Their General Impact
Index Properties – How Index Properties Can Enhance or Fine-Tune Existing Indexes
Index Properties – How Index Properties Can Enhance or Fine-Tune Existing Indexes (Continued)
Index Management
Index Management (Continued)
Index Management – Demo
CRUD
Introduction to MongoDB CRUD Queries
Create – How to Create New Databases and New Collections
Create – How to Create New Databases and New Collections (Continued)
Demo for Create Command
Read – How to Fetch Data from a Collection
Read – How to Fetch Data from a Collection (Continued)
Demo for Read Command
Update – How to Update Existing Records Within a Single Query
Update – How to Update Existing Records Within a Single Query (Continued)
Demo for Update Command
Demo for Update Command (Continued)
Delete – How to Permanently Remove Data from Your Collection
Demo for Delete Command
Aggregation –How to Write Aggregation Queries
Demo for Aggregation
Demo for Aggregation (Continued)
Administration of Your Database
Maintaining Databases and Collections
Moving Your Database to Another Location
Demo One – Moving a Database to Another Machine
Demo Two – Moving a Database to Another Machine
Moving a Collection to Another Database
Demo One – Moving a Collection to Another Database
Quick and Easy Backup and Recovery
Demo – Backup and Recovery
Dropping Collections and Databases
Demo – Dropping Collections and Databases

پیشنهاد فرادرس