MongoDB Developer ve Administrator Eğitimi

What is the focus of this course?

MongoDB Developer and Administrator certification would equip you to master the skills to become MongoDB experienced professional.

By going through this MongoDB training you would become job ready by mastering data modelling, ingestion, query and Sharding, Data Replication with MongoDB along with installing, updating and maintaining MongoDB environment.

What learning outcomes can be expected?

At the end of training in MongoDB developer and administrator, you will be able to:
Develop an expertise in writing Java and Node JS applications using MongoDB
Master the skills of Replication and Sharding of data in MongoDB to optimize read / write performance
Perform installation, configuration and maintenance of MongoDB environment
Get hands-on experience in creating and managing different types of indexes in MongoDB for query execution
Develop skillsets in processing huge amounts of data using MongoDB tools
Proficiently store unstructured data in MongoDB
Gain proficiency in MongoDB configuration, backup methods as well as monitoring and operational strategies
Acquire in-depth understanding of managing DB Notes, replica set & Master-Slave concepts

The MongoDB Certification course is ideal for professionals aspiring for a career in NoSQL databases and MongoDB. The course is suited for:

Database Administrators
Database Architects
Software Developers
Software Architects
Database Professionals
Project Managers
IT developers, Testers
Analytics professionals
Research professionals
System Administrators

What projects are included in this course?

Domain: E-Learning Industry

Problem Statement:
Design a Web application for a leading E-learning organization using MongoDB to support read and write scalability. You can use web technologies such as HTML, JavaScript (JSP), Servlet, and Java. Using this Web application, a user should able to add, retrieve, edit, and delete the course information using MongoDB as the backend database. Screenshots for the GUI are shown below. Note that it is not mandatory to use Java technologies. You can choose any technology that you are comfortable with to design this Web application.

Domain: Telecom Industry

ABC Corporation is a Telecom Company. For security reasons, the government has recently brought the regulation that all the telecom operators should store all the calling data of its users for as much as 15 years. ABC Corporation already used to store all the calling data of the users but due to the recent surge of users, the company is only able to store 6 months of data. ABC Corp now wants to scale their database and wants to store 15 years of data. . Now they are building a Java base interface which can help them store this data in MongoDB. Using Mango DB for Call Data and Analysis, we would resolve the problem statement.

Domain: Training Center

PQR Corp is a leading corporate training provider. A lot of prestigious organizations send their employees to PQR Corp for training on different skills. As a distinct training provider, PQR Corp has decided to share analysis report with their clients. This report will help their clients know the employees who have completed training and evaluation exam, what are their strengths, and what are the areas where employees need improvement. This is going to be a unique selling feature for the PQR Corp. As PQR Corp is already doing great business and they give training to a large number of people every month, they have huge amount of data to deal with. They have hired you as an expert and want your help to solve this problem.

MongoDB Developer and Administrator Certification Course Agenda

Lesson 1: NoSQL Database Introduction

 What is NoSQL?
 Why NoSQL?
 Difference Between RDBMS and NoSQL Databases
 Benefits of NoSQL
 Types of NoSQL
 Key-Value Database
 Document Database
 Column-Based Database
 Graph Database
 CAP Theorem
 Mongo DB as Per CAP

Lesson 2: MongoDB – A Database for the Modern Web

 What is MongoDB?
 JSON
 BSON
 MongoDB Structure
 Document Store Example
 MongoDB as a Document Database
 Transaction Management in MogoDB
 Easy Scaling
 Scaling Up vs. Scaling Out
 Vertical Scaling and Horizontal Scaling
 Features of MongoDB
 Secondary Indexes
 Replication
 Memory Management
 Replica Set
 Auto Sharding
 Aggregation and MapReduce
 Collection and Database
 Schema Design and Modeling
 Reference Data Model
 Embedded Data Model
 Data Types
 Core Servers of MongoDB
 MongoDB’s Tools
 MongoDB Installation
 Use Cases

Lesson 3: CRUD Operations in MongoDB

 Data Modification in MongoDB
 Batch Insert in MongoDB
 Ordered Bulk Insert and Unordered Bulk Insert
 Inserts: Internals and Implications
 Retrieving the documents
 Specify Equality Condition
 $in, “AND” Conditions
 $or Operator
 Specify AND/OR Conditions
 Regular Expression
 Array Exact Match
 Array Projection Operators
 $Where Query
 Cursor
 Pagination
 Advance query option
 Update Operation
 $SET
 $Unset and $inc Modifiers
 $Push and $addToSet
 Positional Array Modifications
 Upsert
 Removing Documents

Lesson 4: Indexing and Aggregation

 Introduction to Indexing
 Types and Properties of Index
 Sort Order
 Text Indexes
 Text Search
 Index Creation
 Index Creation on Replica Set
 Remove, Modify, and Rebuild Indexes
 Listing Indexes
 Measure Index Use
 Control Index Use
 Index Use Reporting
 Geospatial Indexes
 MongoDB’s Geospatial Query Operators
 $GeoWith Operator
 Proximity Queries in MongoDB
 Aggregation
 Pipeline Operators and Indexes
 Aggregate Pipeline Stages
 MapReduce
 Aggregation Operations

Lesson 5: Replication and Sharding

 Introduction to Replication
 Master-Slave Replication
 Replica Set in MongoDB
 Automatic Failover
 Replica Set Members
 Write Concern
 Write Concern Levels
 Write Concern for a Replica Set
 Modify Default Write Concern
 Read Preference
 Read Preference Modes
 Blocking for Replication
 Tag Set
 Configure Tag Sets for Replica set
 Replica Set Deployment Strategies
 Replica Set Deployment Patterns
 Oplog File
 Replication State and Local Database
 Replication Administration
 Sharding
 When to Use Sharding?
 What is a Shard?
 Choosing a Shard Key
 Range-Based Shard Key
 Hash-Based Sharding
 Impact of Shard Keys on Cluster Operation
 Production Cluster Architecture
 Config Server Availability
 Production Cluster Deployment
 Add Shards to a Cluster
 Enable Sharding for Database and a Collection
 Maintaining a Balanced Data Distribution
 Splitting
 Chunk Size and Type
 Shard Balancing
 Customized Data Distribution with Tag Aware Sharding
 Tag Aware Sharding

Lesson 6: Developing Java and Node JS Application with MongoDB

 Capped Collection
 TTL Collection Features
 GridFS
 MongoDB Drivers and Client Libraries
 Develop Java Application with MongoDB
 Connecting to MonogDB from Java Program
 Create Collection From Java Program
 Insert Documents From Java Program
 Retrieve Documents Using Java Code
 Update Documents Using Java Code
 Delete Documents Using Java Code
 Store Images Using GridFS API
 Retrieve Images Using GridFS API
 Remove Image Using GridFS API
 Connection Creation Using Node JS
 Insert Operations Using Node JS
 Update Operations Using Node JS
 Retrieve Documents Using Node JS
 Using DB Cursor to Retrieve Documents
 Mongoose ODM Module in Node JS
 Defining Schema Using Mongoose

Lesson 7: Administration of MongoDB Cluster Operations

 Capped Collection
 TTL Collection Features
 GridFS
 Memory-Mapped Files
 Journaling Mechanics
 Storage Engines
 Power of 2-Sized Allocations
 No Padding Allocation Strategy
 Diagnosing Performance Issues
 Optimization Strategies for MongoDB
 Configure Tag Sets for Replica Set
 Optimize Query Performance
 Monitoring Strategies for MongoDB
 MongoDB Utilities
 MongoDB Commands
 MongoDB Management Service (MMS)
 Data Backup Strategies in MongoDB
 Copying Underlying Data Files
 Backup with MongoDump
 Fsync and Lock
 MongoDB Ops Manager Backup Software
 Security Strategies in MongoDB
 Authentication Implementation in MongoDB
 Authentication in a Replica set
 Authentication on Sharded Clusters
 Authorization
 End-to-End Auditing for Compliance

MONGODB OFFICIAL RESOURCES

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