MongoDB Training in Chennai

Greens Technology is a best rated MongoDB Training institutes in Chennai Tambaram with Placements. MongoDB is an open-source platform for document-oriented database model. It provides high performance, high availability and automatic scaling to provide effective indexing Operations.  MongoDB is a collection of documents, it contains set of key-value pairs. Data’s are stored as a document using tables and rows as in Relational Database.

MongoDB Training in Chennai:

Training in Tambaram is one of the best MongoDB Training Institutes in Chennai. We are focusing Placement based hands-on training for MongoDB Course. Our MongoDB Trainers are taking the classes from basic level to Advanced Level. Our Students can get the job easily in MNC companies in Chennai once complete their MongoDB Classes. Our MongoDB Course content and syllabus are revised monthly once by our experienced trainers. Our training syllabus is designed for fulfilled to our student’s needs. So, you can get the up to date technical knowledge in MongoDB field. Our 6+ years of experienced trainers are working hard to improve their student knowledge and helps to attend the interviews confidently.

Our Training center offering MongoDB Training in various places around the Chennai. We are providing well infrastructure with fully equipped lab facilities to our students. We pay more attention to the needs of our students. Already we have trained more than 200+ Students in Chennai with placement. MongoDB Training timing scheduled on weekday classes, Weekend classes, Evening classes and Fast track classes. Our MongoDB Course fees is based on student’s requirement and value for money. After completing MongoDB Classes, providing free resume building classes, Aptitude classes, Mockup Interview Sessions.

Our MongoDB Course syllabus covering some important topics like curd, Admin commands, Storage Engine, Replication Set, Bash Scripting, MongoDB real-time project and MongoDB placement training in Chennai.

MongoDB Job Openings in Chennai:

MongoDB Job Description:

• MongoDB Developer is specialized in programming and developing applications using Mongo Tool.
• Implement Variety of task like backup and restore performing automatically using Mongo Management Service.
• Implement the best practices for Rest Mongo API integration framework.
• Develop MongoDB API Prototype.
• Identifying Performance issues using Mongo Profiler and MMS.

MongoDB Salaries in Chennai:

MongoDB Salary Package starts from ₹2,07,234 per year for MongoDB Developer to ₹3,47,737 for Senior MongoDB Developer in Chennai.

MongoDB Training in Chennai Syllabus

1.MongoDB Introduction:

• Introduction
• Downloading
• Package Content
• First Run
• Command Line Options
• Install As Service
• Verify Server
• Database is Namespace
• Getting Help in the Shell
• Replica Sets
• Configuring a Replica Set
• Verifying Replication Works
• Replica Set Failover

2. The Mongo Shell

• Shell Role in Ecosystem
• Shell Modes
• Shell Invoking Syntax
• Using Eval
• Substantial Scripts
• Execute Script Before Enter
• Shell Keys and Shortcuts
• Multiline Editing
• External Editor Integration
• Load Script from Within
• User RC File
• Common Safety Usage Tip
• Shell Alternatives

3. Saving Data

• Overview
• Storage
• BSON
• Saving Documents
• Collections
• Document Id
• ObjectId
• Insert
• Insert with Id
• Complex Document
• Save Danger
• Update Command
• Update Demo
• Set Operator
• Unset Operator
• Rename Operator
• Push Operator
• Pull Operator
• Pop Operator
• Array Type
• Multi Update
• Find And Modify
• Query With Sort
• Demo Find And Modify
• Documentation

4. Backup and Restore

• Overview of Security
• Security continued: Authentication and Authorization
• SSL and Keyfiles
• Security and Clients
• Intra-cluster Security
• Overview of Backing Up
• Mongodump
• Filesystem Snapshotting
• Backing Up a Sharded Cluster
• Backup Strategies
• Additional Features of MongoDB
• GridFS

5. Finding Documents

• Introduction
• Overview
• find()
• Equality
• Projection
• Comparison
• $not
• $in
• Arrays
• $all
• $nin
• Dot Notation
• Sub-Document
• null and $exists
• And
• More Projection
• Cursor
• sort()
• limit()
• skip()
• findOne()

6. Indexing

• Overview
• Scan Is Bad
• Index Theory
• Sort Uses Index
• Index Types
• Create Index
• indexes collection
• explain()
• nscanned
• Multi-Term Query
• Comparison
• Scanned vs. Returned
• dropIndex()
• Nested Fields
• Array Field
• Sort
• Unique
• Sparse
• Compound
• Sort Direction
• Covering Index
• Dead Weight
• Background build
• Index Name
• Conclusion