Mongo DB COURSE TRAINING IN HYDERABAD
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Upcoming Batches
Course | Branch | Training Type | Week | Day |
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Data Science | Dilsukhnagar | Hybrid | 1st | Wednesday |
Data Science | Dilsukhnagar | Hybrid | 2nd | Monday |
Data Science | Dilsukhnagar | Hybrid | 3rd | Wednesday |
Data Science | Dilsukhnagar | Hybrid | 4th | Monday |
Mongo DB Training Overview
MongoDB is the latest and rapidly growing database service provided by MongoDB Inc. MongoDB is not a relational database but a NoSQL database. As a document-oriented database, MongoDB provides high performance, auto failover and auto-scaling which is the primary goal for the newly emerging Big data and Developers. You will gain enough expertise in the framework of Data Monitoring, Indexing and Aggregation. It supports cross-platform and document-oriented database which is mainly used for the Large-scale database. Mongo DB is a high-performance open source, Schema free document / Object-Oriented database optimized for web application environments. MongoDB stores data as JSON formats, sometimes the documents can be varied in structure. Relevant information is stored together in a document for better and fast query access via the MongoDB query language.
Who should do the course
• Professionals from Analysts background.
• Software Developers
• Web Developers
• Those who want to become master in MongoDB/NoSQL
• Project Managers and Trainers
• System administrators
• Research professionals
• Those looking for a career in Big Data
Who can Pursue Artificial Intelligence?
- Any Degree pursuing or Graduated,
- Bachelor’s, Master’s, PhD, and
- Anyone interested in course
Services | Essential Course Package | Mid-Level Career Booster | Mastery Career Package |
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Members | >20 | <15 | <10 |
Duration | 3 Months | 7 Months | 7 Months + 1 Year |
Portal | | | |
Course Completion Certificate | | | |
One to One | | | |
Resume Preparation | | | |
Mock Interviews | | | |
Job Assistance | | | |
Internship | | | |
Job Guarantee | | | |
COURSE CURRICULUM
Getting started with MongoDB
• Execution of a JavaScript file in MongoDB
• Making the output of find readable in shell
• Complementary Terms
• Installation
• Basic commands on mongo shell
• Hello World
• Create
• Update
• Delete
• Read
• Update of embedded documents
• More update operators
• “multi” Parameter while updating multiple documents
Getting database information
• List all collections in the database
• List all databases
Querying for Data (Getting Started)
• Find()
• FindOne()
• limit, skip, sort and count the results of the find() method
• Query Document – Using AND, OR and IN Conditions
• find() method with Projection
• Find() method with Projection
• $set operator to update specified field(s) in document(s)
• Insert a document
• Create a Collection
• Drop Collection
• Count
• Sum
• Average
• Operations with arrays
• Aggregate query examples useful for work and learning
• Match
• Get sample data
• Remove docs that have a duplicate field in a collection (dedupe)
• Left Outer Join with aggregation ( $Lookup)
• Server Aggregation
• Aggregation in a Server Method
• Java and Spring example
• Index Creation Basics
• Dropping/Deleting an Index
• Sparse indexes and Partial indexes
• Get Indices of a Collection
• Compound
• Unique Index
• Single field
• Delete
• List
• Converting a field to another type and updating the entire collection in Bulk
• Create a 2dsphere Index
Pluggable Storage Engines
• WiredTiger
• MMAP
• In-memory
• mongo-rocks
• Fusion-io
• TokuMX
• Fetch Collection data with condition
• Create a database user
• Create a tailable cursor
• Connect to MongoDB using pymongo
• PyMongo queries
• Update all documents in a collection using PyMongo
• Sharding Environment Setup
• Basic configuration with three nodes
• MongoDB as a Replica Set
• Check MongoDB Replica Set states
MongoDB – Configure a ReplicaSet to support TLS/SSL
• How to configure a ReplicaSet to support TLS/SSL?
• How to connect your Client (Mongo Shell) to a ReplicaSet?
Authentication Mechanisms in MongoDB
• Authentication Mechanisms
MongoDB Authorization Model
• Built-in Roles
Backing up and Restoring Data
• Basic mongodump of local default mongod instance
• Basic mongorestore of local default mongod dump
• mongoimport with JSON
• mongoimport with CSV
Job Roles
• Mongo DB Developer
Objectives of the Course
• Learn to integrate MongoDB with tools like Jaspersoft and Pentaho
• Integration of MongoDB with GUI Tool Robomongo
• Develop an expertise in writing Java and Node JS applications using MongoDB
• Troubleshoot Performance issues.
• Understand MongoDB Aggregation framework
• Learn MongoDB Backup and Recovery options and strategies
• How to setup a replicated cluster, Managing ReplicaSets etc.
What We Offer
24/7 Portal Access
Domain Expertise Trainers
Industrial Standard Course Structure
Job Oriented Programs
Recording Sessions
Assignments on Real time Scenarios
Job Support
Resume Preparations
Internships
Job Assistance
Working on Real Time Projects
Course Completion Certifications
We Provide Higher Quality Services
AND YOU’LL GET SOLUTIONS FOR EVERYTHING