MongoDB Training in chennai

Learn how to use MongoDB from beginner level to advanced techniques which is taught by experienced working professionals. With our MongoDB Training in Chennai you’ll learn concepts in expert level with practical mannerMongoDB is the latest and rapidly growing database service provided by MongoDB, Inc Its scaling feature has attracted fortune 500 companies and startups towards it, MongoDB is not a relational database but a NoSQL database. MongoDB is the latest and rapidly growing database service provided by MongoDB, Inc Its scaling feature has attracted fortune 500 companies and startups towards it, 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 has is the primary goal for the newly emerging Big data and Developers.

Why MongoDB Training in chennai ?

The motivation of the MongoDB language is to implement a data store that provides high performance, high availability, and automatic scaling. MongoDB is extremely simple to install and implement. MongoDB uses JSON or BSON documents to store data. MongoDB is the latest and rapidly growing database service provided by MongoDB, Inc Its scaling feature has attracted fortune 500 companies and startups towards it, 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 has is the primary goal for the newly emerging Big data and Developers. We are the Best in MongoDB training in Chennai in terms of syllabus and expert teaching ,Apart from these two we at ALCE also teach various tools such as Cloud Manager (Mongo MMS ) and tools that are mandatory for a DBA and basic concepts of Bash Scripting through which database can be connected and extraordinary scripts could be written.

MongoDB Training In Chennai Course Syllabus

Intro to MongoDB

Concepts

  • Scaling
  • SQL and Complex Transactions
  • Documents Overview
  • Installing MongoDB (windows)
  • Installing MongoDB (linux)
  • JSON
  • Dynamic Schema
  • Mongoimport
  • Cursors Introduction
  • Query Language: Basic Concepts
  • Query Language: Projection
  • Query Language: Advantages of a Dynamic Schema
  • Shell: Queries
  • Sorting
  • Query Language: Cursors

CRUD,ADMIN COMMANDS

  • Insertion
  • Update
  • save() Command
  • Partial Updates & Document Limits
  • Removing Documents
  • Multi Update
  • Upsert
  • Wire Protocol
  • Bulk() Operations and Methods
  • Common Commands
  • db.runCommand()
  • db.isMaster()
  • db.serverStatus()
  • db.currentOp() & db.killOp()
  • collection.stats() & collection.drop()
  • Review of Commands

Storage Engine

  • Introduction
  • Storage Engine: WiredTiger
  • createIndex(), getIndexes() & dropIndex()
  • Collection Scans
  • Index Notes
  • Unique Indexes
  • Sparse Indexes
  • TTL Indexes
  • Geospatial Indexes
  • Text Indexes
  • Background Index Creation
  • Explain Plans
  • Covered Queries
  • Read & Write Recap
  • currentOp() & killOp()
  • The Profiler
  • mongostat and mongotop

Replication Overview

  • Asynchronous Replication
  • Statement-based vs. Binary Replication
  • Replication Concepts
  • Automatic Failover
  • Recovery
  • Starting Replica Sets
  • Initiating a Replica
  • Replica Set Status
  • Replica Set Commands
  • Reading & Writing
  • Failover
  • Read Preference
  • Read Preference Options
  • Arbiters
  • Priority Options
  • Hidden Option & Slave Delay
  • Voting Options
  • Applied Reconfiguration
  • Write Concern Principles
  • Examining the ‘w’ Parameter
  • Write Concern Use Cases & Patterns
  • Reexamining the Page View Counter Pattern
  • wtimeout & Capacity Planning
  • Replica Sets in a Single Datacenter
  • Replica Sets in Multiple Datacenters
  • Replica Sets and Storage Engine Considerations

Scalability

  • Sharding & Data Distribution
  • Replication with Sharding
  • Chunks & Operations
  • Sharding Processes
  • Cluster Topology
  • Running on localhost
  • The Config Database
  • Adding the Initial Shards
  • Enable Sharding for a Collection
  • Working with a Sharded Cluster
  • Cardinality & Monotonic Shard Keys
  • Shard Key Selection Example
  • Process and Machine Layout
  • Bulk Inserts and Pre-splitting

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

Overview (Tools,Cloud Manager,Bash Scripting)

  • Tools -RoboMongo
  • Cloud Manager (Configuring and Working with MMS, Automation)
  • Bash Scripting (Basics)
  • Create event receivers using C#

Importants of MongoDB Training In Chennai ?

  • Before getting started in data science, there is one question that comes to the mind of the aspiring data scientists ‘Which is the most popular language used by data scientists?’. ‘Which programming language is most important in data science?’. There are many programming languages that are used by data scientists like Python, R, C++.
  • However, Python holds a special place among all. Python is an object-oriented, open source, flexible and easy to learn a programming language. It has a rich set of libraries and tools that make the tasks easy for Data scientists. Moreover, Python has a huge community base where developers and data scientists can ask their queries and answer queries of others. Data science as a service is using Python for a long time and it will continue to be the top choice for data scientists and developers.
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