IT Software Courses in Bangalore

MongoDB Training in Bangalore

MongoDB Training in Bangalore

Zenrays Review by Sakshi Sharma

Our top notch training coupled with a live project is icing on cake. Once you have mastered MongoDB during training, we start with Live Industry Project. During Project you code with our consultants and experts daily to become a master of MongoDB. This is the last part of your Ninja Training that makes you a Front End rock star.

At ZenRays we say NO to Dummy Projects. Whatever project you work in is Actual and Industry Specific. After successful completion of project your name is added as a contributor to the project which you can showcase at Interviews as a mark of your expertise.

FAQ MongoDB

MongoDB Training Course Syllabus in Bangalore

MongoDB

Introduction to NoSQL databases

  • NoSQL
  • Difference Between RDBMS and NoSQL Databases
  • Benefits of NoSQL
  • Types of NoSQL
  • Key-Value Database
  • Document Database
  • Column-Based Database
  • Graph Database
  • CAP Theorem
  • Consistency
  • Partition Tolerance
  • Mongo DB as Per CAP

MongoDB A Database for the Modern Web

  • What is MongoDB
  • JSON
  • JSON Structure
  • BSON
  • MongoDB Structure
  • Document Store
  • MongoDB as a Document Database
  • Transaction Management in MongoDB
  • Easy Scaling
  • Scaling Up vs. Scaling Out
  • Vertical Scaling00
  • Horizontal Scaling
  • Features of MongoDB
  • Secondary Indexes
  • Replication
  •  
  • Memory Management
  • Replica Set
  • Auto Sharding
  • Aggregation and MapReduce
  • Collection Database
  • Schema Design and Modelling
  • Reference Data Model
  • Embedded Data Model
  • Data Types
  • Core Servers of MongoDB
  •  
  • MongoDB's Tools
  • MongoDB on Linux
  • MongoDB on Windows

CRUD Operations in MongoDB

  • Data Modification in MongoDB
  • Batch Insert in MongoDB
  • Ordered Bulk Insert
  • Performing Ordered Bulk Insert
  • Performing Ordered Bulk Insert
  • Unordered Bulk Insert
  • Performing Un-ordered Bulk Insert
  • Inserts: Internals and Implications
  • Performing an Insert Operation
  • Retrieving the documents
  • Specify Equality Condition
  • Retrieving Documents by Find Query
  • $in, $or , and AND Conditions
  • $or Operator
  • Specify AND/OR Conditions
  • Retrieving Documents by Using FindOne, AND/OR Conditions
  • Regular Expression
  • Array Exact Match
  • Array Projection OperatorsPreview
  • Retrieving Documents for Array Fields
  • $Where Query
  • Cursor
  • Retrieving Documents Using Cursor
  • Pagination
  • Pagination: Avoiding Larger Skips
  • Advance query option
  • Update Operation
  • Updating Documents in MongoDBr
  • $SET
  • Updating Embedded Documents in MongoDB
  • Updating Multiple Documents in MongoDB
  • $Unset and $inc Modifiers
  • $inc modifier to increment and decrement
  • Replacing Existing Document with New Document
  • $Push and $addToSet
  • Positional Array Modification
  • Adding Elements into Array Fields
  • Adding Elements into Array Fields Using AddToSet
  • Performing AddToSet
  • Upsert
  • Removing Documents
  • Performing Upsert and Remove Operation

Indexing and Aggregation

  • Introduction to Indexing
  • Types of Index
  • Properties of Index
  • Single Field Index
  • Single Field Index on Embedded Document
  • Compound Indexes
  • Index Prefixes
  • Sort Order
  • Ensure Indexes Fit RAM
  • Multi-Key Indexes
  • Compound Multi-Key Indexes
  • Hashed Indexes
  • TTL Indexes
  • Unique Indexes
  • Sparse Indexes
  • Create Compound, Sparse, and Unique Indexes
  • Text Indexes
  • Create Single Field and Text Index
  • Create Single Field and Text Index
  • Index Creation
  • Index Creation on Replica Set
  • Remove Indexes
  • Modify Indexes
  • Drop and Index from a Collection
  • Rebuild Indexes
  • Listing Indexes Preview
  • Retrieve Indexes for a Collection and Database
  • Measure Index Use
  • Use Mongo Shell Methods to Monitor Indexes
  • Control Index Use
  • Use the Explain, $Hint and $Natural Operators to Create Index
  • Index Use Reporting
  • Geospatial Index Preview
  • Create Geospatial Index
  • MongoDB’s Geospatial Query OperatorsPreview
  • Demo—Use Geospatial Index in a Query
  • $GeoWith Operator
  • Proximity Queries in MongoDB
  • Aggregation
  • Pipeline Operators and Indexes/li>
  • Aggregate Pipeline Stages
  • MapReduce

Replication and Sharding

  • Introduction to Replication
  • Master-Slave Replication
  • Replica Set in MongoDB
  • Automatic Failover
  • Replica Set Members Preview
  • Priority 0 Replica Set Members
  • Hidden Replica Set Members
  • Delayed Replica Set Members
  • Demo-Start a Replica Set
  • Write Concern
  • Write Concern Levels
  • Write Concern for a Replica Set
  • Modify Default Write Concern
  • Read Preference Modes
  • Blocking for Replication
  • Tag Set
  • Configure Tag Sets for Replica set
  • Replica Set Deployment Strategies
  • Replica Set Deployment Patterns
  • Oplog File
  • Replication State and Local Database
  • Replication Administrations
  • Check a Replica Set Status
  • Shard and Shard Key
  • Choosing a Shard Key
  • Ideal Shard Key
  • Range-Based Shard Key
  • Hash-Based Sharding
  • Impact of Shard Keys on Cluster Operation
  • Production Cluster Architecture
  • Config Server Availability
  • Production Cluster Deployment
  • Deploy a Sharded Cluster
  • Add Shards to a Cluster
  • Create a Sharded Cluster
  • Enable Sharding for Database
  • Enable Sharding for Collection Maintaining a Balanced Data Distribution
  • Splitting
  • Chunk Size
  • Special Chunk Type
  • Shard Balancing
  • Customized Data Distribution with Tag Aware Sharding
  • Tag Aware Sharding
  • Add Shard Tags
  • Remove Shard Tags

Developing Java and NodeJS Application with MongoDB

  • Capped Collection
  • Capped Collection Creation
  • Capped Collection Restriction
  • TTL Collection Features
  • GridFS
  • GridFS Collection
  • MongoDB Drivers and Client Libraries
  • Develop Java Application with MongoDB
  • Connecting to MonogDB from Java Program
  • Create Collection from Java Program
  • Insert Documents from Java Program
  • Retrieve Documents Using Java Code
  • Update Documents Using Java Code
  • Delete Documents Using Java Code
  • Store Images Using GridFS API
  • Remove Image Using GridFS API
  • Connection Creation Using NodeJS
  • Insert Operations Using NodeJS
  • Demo—Perform CRUD Operation in NodeJS
  • Update Operations Using NodeJS
  • Retrieve Documents Using NodeJS
  • Using DB Cursor to Retrieve Documents
  • Mongoose ODM Module in NodeJS
  • Defining Schema Using Mongoose
  • Use Mongoose to Define Schema

Administration of MongoDB Cluster Operations

  • Memory-Mapped Files
  • Journaling Mechanics
  • Storage Engines
  • MMAPv1 Storage Engine
  • WiredTiger Storage Engine
  • WiredTiger Compression Support
  • Power of 2-Sized Allocations
  • No Padding Allocation Strategy
  • Diagnosing Performance Issues
  • Monitor Performance in MongoDB
  • Optimization Strategies for MongoDB
  • Configure Tag Sets for Replica Set
  • Optimize Query Performance
  • Monitoring Strategies for MongoDB
  • MongoDB Utilities
  • MongoDB Commands
  • MongoDB Management service (MMS)
  • Data Backup Strategies in MongoDB
  • Copying Underlying Data Files Backup with MongoDump
  • Fsync and Lock
  • MongoDB Ops Manager Backup Software
  • Security Strategies in MongoDB
  • Authentication Implementation in MongoDB
  • Authentication in a Replica set
  • Authentication on Sharded Clusters
  • Authorization
  • End-to- End Auditing for Compliance

For Registration and for more Information on MongoDB Training in Bangalore, contact ZenRays - the best MongoDB Training Institutes Bangalore at +91 9916482106 | 080 41127272 | corporate@zenrays.com

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