MongoDB Training/Course by Experts

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Our Training Process

MongoDB - Syllabus, Fees & Duration

Module 1: Introduction to NoSQL

  • What Is NoSQL?
  • Why NoSQL databases are required
  • Types of NoSQL Database
  • NoSQL vs SQL Comparison
  • ACID & BASE Property
  • CAP Theorem
  • Benefits of NoSQL databases
  • Installation
  • Start and Stop the MongoDB process

Module 2: MongoDB Architecture

  • Document, Collection, Databases
  • JSON and BSON
  • Storage Engines
  • Read Path
  • Journaling
  • Write Path
  • Working Set
  • Capped Collection
  • Oplog collection
  • TTL Index
  • GridFS

Module 3: CRUD Operations

  • MongoDB Data Types
  • Inserting, Update, Deleting the documents
  • Querying the documents
  • Bulk insert operation
  • Updating multiple document
  • Limiting documents
  • Filtering documents

Module 4: Schema Design and Data modeling

  • Dynamic Schema
  • What is Data modeling?
  • RDBMS and MongoDB Data modeling difference
  • Embedding Document
  • Reference Document

Module 5: Indexes

  • Index concepts in MongoDB
  • Types of indexes
  • Indexes and its use cases
  • Creating Indexes
  • Managing Indexes
  • Index strategies

Module 6: Database Administration in MongoDB

  • Database status
  • Troubleshooting issues
  • Current Operations
  • Rotating log files
  • Users and Roles
  • Copy and Clone database
  • DB and Collection Stats
  • Explain plan
  • Profiling
  • Changing configuration files
  • Upgrading the database

Module 7: MongoDB: Backup and Security

  • Concept of backups
  • mongoexport/mongoimport
  • mongodump/mongorestore
  • Oplog backups
  • LVM Backups
  • Backups using MMS/Ops Manager
  • Purpose of security
  • Authentication and authorization
  • Role based access control

Module 8: Replication in MongoDB

  • Concept of replication
  • ReplicaSet member roles
  • Voting and Electing primary
  • Role of Oplog in replication
  • Read and Write Concern
  • Arbiter,Hidden and Delayed replica node
  • Priority settings
  • Replicaset nodes health check
  • Concept of resyncing the nodes
  • Rollbacks during failover
  • Keyfile authentication

Module 9: MongoDB Scalability

  • Concept of Scalability
  • Sharding concept
  • Shardkey and Chunks
  • Choosing shardkey
  • Sharding components
  • Types of Sharding
  • Balanced data distribution
  • Sharded and Non-sharded collection
  • Sharded Replicaset
  • Tag aware sharding

Module 10: MongoDB Monitoring and Other Tools

  • MMS Manager
  • Ops Manager
  • Mongo utility commands
  • Mongo developer tools
  • MongoDB Atlas
  • MongoDB client drivers

Download Syllabus - MongoDB
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MongoDB Jobs in Riffa

Enjoy the demand

Find jobs related to MongoDB in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Riffa, chennai and europe countries. You can find many jobs for freshers related to the job positions in Riffa.

  • Full Stack Developer
  • Databases Specialist
  • Database Admin
  • Consulting Engineer
  • Database Engineer
  • MongoDB Engineer
  • Database Administrator
  • Technology Engineer
  • Consulting Engineer
  • MongoDB Trainer

MongoDB Internship/Course Details

MongoDB internship jobs in Riffa
MongoDB Learn from expert trainers with the best skills through the most effective sources. The CRUD operations are related to many further choices. built-in scaling may be a must-have feature of many organizations, as you adapt to an ever-changing market. key-value pairs. There aren't any tables in MongoDB. the globe is on the brink of an information overload, and large databases are required to store and manipulate this information. MongoDB could be a collection of documents, it contains a group of key-value pairs. this will be possible with MongoDB, which can be as versatile because it's powerful. as a result MongoDB doesn’t have a strictly defined, consistent schema it's a document store database. .

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List of Training Institutes / Companies in Riffa

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 courses in Riffa
In contrast, the GPU discipline has visible extensive improvement in the direction of accelerating software program programs the usage of GPUs. FPGA layout is with the aid of using and huge accomplished the usage of hardware layout gear much like ones that might be used to create a custom ASIC. There are additionally methods to simplify and permit programs to make higher use of IP cores from software program jogging on those included CPUs, together with Hthreads [4] and HybridOS [5]. Performance is addressed in Section III. We describe in element the RIFFA structure in Section II. Acceleration frequently calls for constructing large additives for simple capability earlier than any utility common sense may be implemented. In this way, we divulge the FPGA to person area. Our purpose is to decrease the limitations for utility acceleration the usage of FPGAs. Intel has evolved an integration generation known as QuickAssist [3]. Received interrupt vectors become aware of which IP middle has signaled the interrupt.

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