MongoDB for Developers and Data Scientists

Overview

This course is designed for Software Professionals who are willing to learn MongoDB Database in simple and easy steps. It will throw light on MongoDB concepts and after completing this tutorial you will be at a good level of expertise, from where you can take yourself at higher level of expertise.

This course provides a detailed understanding to participants about, data analysis using MongoDB. Participants will be doing hands on practices on all the topics delivered through the course. Participants will complete one small project during the course duration while another project will be given to participants as an assignment.

Availability: In stock

Regular Price: ₹9,000.00

Special Price ₹8,000.00

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Regular Price: ₹9,000.00

Special Price ₹8,000.00

Upcoming Classes

4th Jan 2020
3 Days
Weekend Online (WebEx) & Offline (Bangalore) Classes - Saturday & Sunday
Time : 11 AM to 6 PM
Price : 8000
8th Feb 2020
3 Days
Weekend Online (WebEx) & Offline (Bangalore) Classes - Saturday & Sunday
Time : 11 AM to 6 PM
Price : 8000

Course Description

MongoDB is an open-source document database and leading NoSQL database. MongoDB is written in C++. This course will give you great understanding on MongoDB concepts needed to create and deploy a highly scalable and performance-oriented database.

Course Instructor : Raju Kumar Mishraview more

Objective

Databases

Goal  : To understand databases in general and to get familiarity with different types of databases. 

  • Introduction to Databases
  • Different Type of Databases
  • Flat File Databases
  • hierarchical database
  • object-oriented database
  • Relational Databases
  • NoSQL Databases

NoSQL Database

Goal : To learn about NoSQL databases and the need for NoSQL databases, this module will also take you through types Of NoSQL Databases. 

  • Introduction to NoSQL Databases.
  • CAP theorem
  • Not only SQL or Not SQL
  • Different type of NoSQL databases
    • Key-value stores
    • Column stores
    • Document databases
    • Graph databases

 MongoDB an Introductory View

Goal : This module starts with introduction to MongoDB and makes you understand the different components of MongoDB from a developer perspective. Participants will deep dive into how MongoDB stores data. 

  • Introduction to MongoDB
  • Structure of MongoDB
  • Database
  • Documents
  • What is schemaless?
  • JSON and BSON
  • Data types in MongoDB
  • Understanding Array in MongoDB
  • Collection
    • Simple Collection
    • Capped Collections
  • Understanding Embedded Documents
  • MongoDB shell
    • MongoDB shell introduction
    • Starting MongoDB shell
    • MongoDB simple commands
    • Running Script

 Introductory Javascript

 Goal : From MongoDB shell we will use Javascript to write all the queries.  Learning Javascript will enable participant to write efficient code on Mongo Shell. 

  • JavaScript Introduction
  • Variables in Javascript
  • JavaScript code in mongo shell
  • Operators
  • Conditionals and Loops
  • Function in Javascript

 CRUD operations in MongoDB

 Goal : Participants will learn to Perform CRUD operation on MongoDB using Mongo shell. 

  • Creation of Database
  • Deletion of Database
  • Creation and Deletion of Collection
  • Data insert  into collection
    • insert()
    • insertMany()
    • Understanding write concern
  • Data Selection and query
    • find()
    • findOne()
    • Read Concern
  • Querying array
    • $push
    • $pop
    • $addToSet
    • $pull
    • $pullAll
    • $all
    • $each
    • $slice
  • Data Updation
  • Introduction to data update.
  • Update or Insert
  • Updating many documents

Uploading Data to, and Downloading  Data from, MongoDB

Goal : We will learn, how to import data from csv and JSON file to MongoDB and How to export data from MongoDB to csv or JSON file.

  • mongoimport
    • Introduction to mongoimport
    • Options with mongoimport
    • Different type of file imported by mongoimport
  • mongoexport
    • Introduction to mongoexport
    • Options with mongoexport

 Data Aggregation in MongoDB

Goal : Data aggregation provides important insight of given dataset. This topic will enable participants to find summary of given data and also derive useful insights from the data. 

  • Introduction to Data Aggregation
  • Understanding aggregate() method.
  • Data Pipeline in aggregate method
  • Pipeline Operators
    • $match
    • $project
    • $group
    • $unwind
    • $sort
    • $limit
    • $skip
  • Aggregation commands
    • $count
    • $distinct
    • $first
    • $last
  • MapReduce for Data aggregation in MongoDB
    • Understanding Map
    • Understanding Reduce

Indexing in MongoDB 

Goal : Participants will implement indexing on data and see how it makes their query faster. Participants will also understand about drawbacks of Indexing. 

  • Introduction to Indexing in MongoDB
  • Key selection
  • Indexing on more than one key.
  • Indexing to help data sorting.
  • Unique Index
  • Compound unique index.
  • Sparse Indexes
  • Indexing on Array
  • Indexing on embedded documents.
  • High cardinality and benefits of indexing.
  • Dropping Index
  • Re-indexing
  • Drawback of Indexing 

Replication in MongoDB 

Goal :  How to ensure data availability in MongoDB ?. Does replication of data work? And many other questions will be discussed and implemented in this topic. 

  • Why is replication needed.
  • Master Slave architecture
  • Introduction to Replica set.
  • Concept of primary and secondary nodes.
  • Standard, passive and arbiter nodes.
  • Concept of failover and primary selection process
  • Write process in MongoDB.
  • Concept of Oplog.
  • Syncing
  • Election
  • Rollback

Sharding 

Goal :  What to do if MongoDB is dealing with huge amount of data? Should we go for Horizontal or Vertical scaling? How to run MongoDB on distributed system. 

  • Introduction to Sharding.
  • Concept of autosharding and MongoDB.
  • Deciding Shard Key.
  • Mongos
  • Data balancing

GridFS

Goal : Discuss and  use GridFS. 

  • Introduction to GridFS
  • Why to use GridFS
  • fs.chunk and fs.files

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