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Mongo DB - Full Course(Development + Administration) with Practicals

1 Reviews

Marathahalli, Bangalore

Course ID: 37603

Marathahalli, Bangalore

Students Interested 0 (Seats Left 0)

1 Reviews

About the Course

Demo video link :


 https://drive.google.com/file/d/0B0h_C4GaMDOWZDM3R3F4bWFuYU0/view?usp=drivesdk


https://drive.google.com/file/d/0B0h_C4GaMDOWOVQwQzV0V2xYdWM/view?usp=drivesdk


 


MONGO COURSE CONTENT In Depth


1. Introduction



  • NOSQL

  • Why NoSql, why not RDBMS

  • What is Mongo

  • Database and collection

  • Views

  • Capped Collection

  • Documents

  • BSON Types

  • Database and collection

  • Capped Collections 

  • Embedded Documents

  • MongoDB CRUD Operations

  • Create Operations

  • Read Operations

  • Update Operations

  • Delete Operations

  • Bulk Write

  • Read Isolation

  • Write Acknowledgement/Concern

  • W Option

  • j Option & wtimeout Option


2.Installation



  • Install MongoDB Community Edition



3.MongoDB CRUD Operations



  • Insert Documents

  • Query Documents

  • Query on Embedded/Nested Documents

  • Query on Nested Fields

  • Query an Array

  • Query an Array of Embedded Documents

  • Project Fields to Return from Query

  • Update Documents

  • Delete documents

  • Bulk Write Operations

  • Overview

  • Ordered vs Unordered Operations

  • bulkWrite() Methods

  • Read Concern

  • Write Concern



4.Aggregation



  • Aggregation Pipeline

  • Aggregation Pipeline Optimization

  • Aggregation Pipeline Limits

  • Aggregation with the Zip Code Data Set

  • Aggregation with User Preference Data


5.Data Models:



  • Data Modeling Introduction

  • Document Validation

  • Data Model Concept:

  • Data Model Design

  • Embedded Data Models

  • Normalized Data Models

  • Operational Factors and Data Models

  • Document Growth

  • Atomicity

  • Sharding

  • Indexes

  • Large Number of Collections

  • Collection Contains Large Number of Small Documents

  • Storage Optimization for Small Documents

  • Data Lifecycle Management

  • Data Model Examples and Patterns

  • Model Relationships Between Documents

  • Model OnetoOne Relationships with Embedded Documents

  • Model OnetoMany Relationships with Embedded Documents

  • Model OnetoMany Relationships with Document References


6. Indexes:



  • Default _id Index

  • Create an Index

  • Index Types

  • Index Properties

  • Index Use

  • Indexes and Collation

  • Covered Queries

  • Index Intersection

  • Restrictions


7.Storage



  • Storage Engines

  • WiredTiger Storage Engine

  • Motivation for WiredTiger 

  • WiredTiger Architecture

  • WT What is Concurrency Control?

  • WT MVCC

  • WT Multiversion Concurrency Control (MVCC)

  • WT Compression

  • WT Memory Use

  • WT Index per Directory

  • Document Level Concurrency

  • Snapshots and Checkpoints

  • Journal

  • Change Standalone to WiredTiger

  • MMAPv1 Storage Engine

  • Journal

  • Record Storage Characteristics

  • Record Allocation Strategies

  • Memory Use

  • InMemory Storage Engine


  • Specify InMemory Storage Engine

  • Concurrency

  • Memory Use

  • Durability

  • Journaling

  • Journaling and the WiredTiger Storage Engine

  • Journaling and the MMAPv1 Storage Engine

  • Journaling and the InMemory Storage Engine


8.Replication



  • Overview

  • Replica Set Members

  • Replica Set Primary

  • Replica Set Secondary Members 

  • Replica Set Arbiter

  • Priority 0 Replica Set Members

  • Hidden Replica Set Members

  • Delayed Replica Set Members

  • Replica Set Oplog

  • Replica Set Data Synchronization

  • Replica Set Deployment Architectures

  • Three Member Replica Sets

  • Primary with Two Secondary Members 

  • Primary with a Secondary and an Arbiter 

  • Replica Sets Distributed Across Two or More Data Centers

  • Fivemember Replica Set

  • Two data centers

  • Three data centers

  • Replica Set High Availability

  • Replica Set Elections

  • Consensus System Basic example

  • Election And Data Replication

  • Factors and Conditions that Affect Elections

  • Voting Members

  • NonVoting Members

  • Adjust Priority for Replica Set Member

  • Prevent Secondary from Becoming Primary

  • Configure a Hidden Replica Set Member

  • Rollbacks During Replica Set Failover

  • Replica Set Protocol Versions

  • Replica Set Read and Write Semantics

  • Write Concern for Replica Sets

  • Read Preference

  • Replica set deployment steps:


9.Sharding



  • Sharded Cluster

  • Shard Keys

  • Chunks

  • Advantages of Sharding

  • Considerations Before Sharding

  • Sharded and NonSharded Collections

  • Connecting to a Sharded Cluster

  • Sharding Strategy

  • Zones in Sharded Clusters

  • Collations in Sharding

  • Sharded Cluster Components shards/config servers/mongos

  • Shard Keys 

  • Choosing a Shard Key

  • Zones

  • Segmenting Data by Location

  • Manage Shard Zones

  • Add Shards to a Zone

  • Create a Zone Range

  • Remove a Zone Range

  • View Existing Zones

  • Sharded Cluster Balancer

  • Add/Remove Shards to a Cluster


10. FAQs

Date and Time

Not decided yet.

About the Trainer

Rupesh picture

4.55 Avg Rating

11 Reviews

11 Students

2 Courses

Rupesh

Btech

12 years of industry experience. Worked on various tech stack. Teaching from last 5 years on multiple technology, Java, Data Structure,Mongo Db, Cassandra etc.

Student Feedback

5.0

Average Rating

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Reviews

A

Amit Gulati

Excellent training. Just loved it. Rupesh is very good in explaining complex topics. The course is rich in terms of quality, quantity and content. The course content was so rich that I am amazed , I have never seen anyone covering so many internal topic in mongo training. Before joining his class, I have verified and talked to multiple trainers, but liked the content of mongo course that Rupesh put up in the course description section in his profile. And he actually covers all of these. Highly recommending him as Mongo Trainer, planning to start Cassandra training as well from him as the reviews he got are excellent and based on my own exp with him in mongo, I think he deserves it.

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