Why to Choose MongoDB ?
Mass data loading By Default MongoDB Supports High insertion ration. If your application wants to insert tons of data in a efficient manner, you can choose MongoDB. High Data Availability in an Unreliable Environment If any failure case, Data recovery is very easy and automatic. Large Scaling Database A MySQL table performance will get degrade when it crossing more than 5-10 GB of data. In MongoDB, You can handle large scale of data. It has inbuilt Solution. MongoDB is schema-less In RDBMS, When table has large data, adding new columns in a existing table will take more loading and performance degrade. Here MongoDB is schema-less so adding or modifying new columns will not affect any performance.
Course Features
- Duration60 hours
- Skill levelAll level
- Batch Strength15
- AssessmentsYes
- Mock InterviewsYes
- Resume BuildingYes
- PlacementsYes
- Flexible TimingYes
- Fee InstallmentsYes
- LanguageTamil/English
Section 1: Introduction to MongoDB
- Introduction
- Downloading
- 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
Section 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
Section 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
Section 4: 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()
Section 5: Indexing
- Overview
- Scan Is Bad
- Index Theory
- Sort Uses Index
- Index Types
- Create Index
- system.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
You will be going through detailed 2 to 3 months of MongoDB Hands-on training
- Detailed instructor led sessions to help you become a proficient Expert in Mongodb.
- Build a Mongodb professional portfolio by working on hands on assignments and projects.
- Personalised mentorship from professionals working in leading companies.
- Lifetime access to downloadable Mongodb course materials, interview questions and project resources.
Credo Systemz - Velachery, Chennai
Call Us +91 9884412301
