MongoDB for Administrators

Learn via : Virtual Classroom / Online
Duration : 4 Days
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    MongoDB is a document-based, fast, scalable and open source NoSQL (Not only SQL) database application.  The fact that MongoDB is flexible and easy to use has strengthened its worldwide popularity in a short time and made it a database system preferred by many institutions. One of the most important advantages of MongoDB is that it is scalable and stores data as a document, multiple copies can be stored on it, and all data can be accessed quickly and easily by creating an index on the data.

    This 4-days training for MongoDB for Administrators (MongoDB for database administrators) is suitable for any system administrator who wants to install and manage the database service.


    What You’ll Learn

    • General features and MongoDB structure
    • Introduction to NoSQL
    • MongoDB command line client
    • MongoDB system logs
    • CRUD operations
    • Architecture, Schematic Designs and Modeling
    • Indexes of any collection in MongoDB
    • Restricting access to the MongoDB service
    • Backup MongoDB service and recover from backup when necessary
    • Which metrics to review and how to get those metrics to monitor the MongoDB service
    • MongoDB replication cluster
    • Sharded MongoDB cluster


Module 1: Introduction to NoSQL

  • What Is NoSQL?
  • Why NoSQL databases are required?
  • Types of NoSQL Database
  • NoSQL vs SQL Comparison
  • ACID & BASE Property
  • CAP Theorem
  • Benefits of NoSQL databases
  • Installation
  • Start and Stop the mongodb process

Module 2: Architecture

  • Document, Collection, Databases
  • JSON and BSON
  • Storage Engines
  • WiredTiger Storage Engine
  • Snapshots and Checkpoints
  • Journal
  • Compression
  • In-Memory Storage Engine
  • Read and Write Concerns
  • GridFS

Module 3: CRUD Operations

  • Mongodb Data Types (BSON Types)
  • CRUD Operations
  • Create Operations
  • Read Operations
  • Update Operations
  • Delete Operations
  • Bulk Write Operations

Module 4: Schema Design and Data modeling

  • Dynamic Schema
  • Document Structures
  • Schema Validation
  • What is Data modeling?
  • Embedding Document
  • Reference Document
  • Factors effect Data Model Selection

Module 5: Indexes

  • Indexing concepts in MongoDB
  • Types of Indexes
  • Index Properties
  • Managing Indexes
  • Index Strategies

Module 6: Database Administration

  • Changing Run-time Configuration
  • Database Server Status
  • Current Operations
  • Managing mongod Processes
  • Terminating Running Operations
  • Rotating Log Files
  • Enabling Access Control
  • Users and Roles
  • Copy and Clone database
  • DB and Collection Stats
  • Explain Plan
  • Database Profiler
  • Diagnostic Commands

Module 7: Backup and Security

  • Concept of Backups
  • mongoexport/mongoimport
  • mongodump/mongorestore
  • Oplog backups
  • LVM Backups
  • Backups using Ops Manager

Module 8: Replication

  • Concept of Replication
  • Replica Set Member Roles
  • Replication Process
  • Read Reference
  • Replica Set Primary & Seconday Members
  • Role of Oplog in Replication
  • Deployment Architectures
  • Voting and Electing Primary
  • Rollbacks During Replica Set Failover
  • Write Concern and Read Preference

Module 9: Scalability

  • Concept of Scalability
  • Sharding Concept
  • Shard Keys and Chunks
  • Advantages of Sharding
  • Sharded and Non-sharded Collection
  • Sharding Strategies
  • Sharded Cluster Components
  • Production and Development Deployments
  • Zones

Module 10: Monitoring and Other Tools

  • Monitoring
  • MongoDB Tools
  • MongoDB Developer Tools
  • MongoDB Ops Manager
  • MongoDB Atlas


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