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MongoDB Certification Course Overview

MongoDB certification course makes you job-ready by helping you master data modeling, ingestion, query, sharding, and data replication with MongoDB, along with installing, updating, and maintaining the MongoDB environment. You will also gain proficiency in MongoDB configuration and backup methods as well as monitoring and operational strategies.

The MongoDB Certified Database Administrator certification is for professionals responsible for the administration, maintenance, and performance tuning of MongoDB deployments. Topics include installation, replication, sharding, backup, and recovery.

 

Mongodb Certification Training Key Features

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  • Installation and Configuration
  • Replication, Sharding
  • Backup and Restore
  • Security
  • Performance Tuning
  • Monitoring and Alerts

Skills Covered

  • Writing Java and NodeJs apps
  • CRUD Operations in MongoDB
  • Replication and sharding
  • Indexing and Aggregation
  • MongoDB tools
  • MongoDB backup methods
  • Replica sets
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Benefits

MongoDB has emerged as a powerful contender in the growing demand for data-centric web applications in the field of financial services, social media, retail, and healthcare. MongoDB services have seen significant adoption among the top 500 organizations in the world.

 

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REACH OUT TO US FOR MORE INFORMATION


+91 844 844 0724

info@fiesttech.com
GO AT YOUR OWN PACE

Training Options

Explore all of our training options and pick your suitable ones to enroll and start learning with us! We ensure that you will never regret it!

SELF-PACED LEARNING
200
  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 4 hands-on projects to perfect the skills learnt
  • 2 simulation test papers for self-assessment
  • 24x7 learner assistance and support
ONLINE BOOTCAMP
250
  • Everything in Self-Paced Learning, plus
  • 90 days of flexible access to online classes
  • Live, online classroom training by top instructors and practitioners

Classes Starting From :-

28th Nov: Weekday Class

19th Nov: Weekend Class

CORPORATE TRAINING
Customized to your learning needs
  • Blended learning delivery model (self-paced e-learning and/or instructor-led options)
  • Flexible pricing options
  • Enterprise grade Learning Management System (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support

MongoDB Course Curriculum

Eligibility

The MongoDB certification online course is ideal for professionals aspiring for a career in NoSQL databases and MongoDB, including database administrators, database architects, software developers, software architects, database professionals, project managers, IT developers, testers, analytics professionals, research professionals, and system administrators.

Pre-requisites

Those wishing to take the MongoDB certification training should have basic knowledge of any programming language and any database, SQL, and query language for databases. Working knowledge of Linux based systems is also beneficial. As a foundation, we recommend you take the Big Data Hadoop Developer or Big Data Hadoop Administrator course.

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Course Content

Live Course

Self Paced

  • 1.01 - 0.001 Course Introduction
    00:25
  • 1.02 - 0.002 Table of Contents
    00:43
  • 1.03 - 0.003 Objectives
    00:32
  • 1.04 - 0.004 Course Overview
    00:32
  • 1.05 - 0.005 Value to Professionals and Organizations
    00:25
  • 1.06 - 0.006 Course Prerequisites
    00:32
  • 1.07 - 0.007 Lessons Covered
    00:25
  • 1.08 - 0.008 Conclusion
    01:12
  • 2.01 - 1.001 Lesson1 NoSQL database introduction
    00:46
  • 2.02 - 1.002 Objectives
    01:35
  • 2.03 - 1.003 What is NoSQL
    01:21
  • 2.04 - 1.004 What is NoSQL (contd.)
    00:54
  • 2.05 - 1.005 Why NoSQL
    02:11
  • 2.06 - 1.006 Difference Between RDBMS and NoSQL Databases
    01:34
  • 2.07 - 1.007 Benefits of NoSQL
    01:26
  • 2.08 - 1.008 Benefits of NoSQL (contd.)
    00:46
  • 2.09 - 1.009 Types of NoSQL
    01:21
  • 2.10 - 1.010 Key-Value Database
    01:12
  • 2.11 - 1.011 Key-Value Database (contd.)
    01:21
  • 2.12 - 1.012 Document Database
    02:11
  • 2.13 - 1.013 Document Database Example
    01:34
  • 2.14 - 1.014 Column-Based Database
    02:45
  • 2.15 - 1.015 Column-Based Database (contd.)
    03:32
  • 2.16 - 1.016 Column-Based Database (contd.)
    01:34
  • 2.17 - 1.017 Column-Based Database Example
    01:12
  • 2.18 - 1.018 Graph Database
    02:45
  • 2.19 - 1.019 Graph Database (contd.)
    01:32
  • 2.20 - 1.020 CAP Theorem
    04:34
  • 2.21 - 1.021 CAP Theorem (contd.)
    00:43
  • 2.22 - 1.022 Consistency
    01:34
  • 2.23 - 1.023 Availability
    02:32
  • 2.24 - 1.024 Partition Tolerance
    02:43
  • 2.25 - 1.025 Mongo DB as Per CAP
    01:26
  • 2.26 - 1.26 Quiz
    00:25
  • 2.27 - 1.027 Summary
    00:54
  • 2.28 - 1.028 Conclusion
    00:34
  • 3.01 - 2.001 Lesson 2 MongoDB-A Database for the Modern Web
    01:12
  • 3.02 - 2.002 Objectives
    00:43
  • 3.03 - 2.003 What is MongoDB
    01:26
  • 3.04 - 2.004 JSON
    01:34
  • 3.05 - 2.005 JSON Structure
    01:34
  • 3.06 - 2.006 BSON
    01:35
  • 3.07 - 2.007 MongoDB Structure
    03:11
  • 3.08 - 2.008 Document Store Example
    01:26
  • 3.09 - 2.009 MongoDB as a Document Database
    02:35
  • 3.10 - 2.010 Transaction Management in MongoDB
    02:43
  • 3.11 - 2.011 Easy Scaling
    04:22
  • 3.12 - 2.012 Scaling Up vs. Scaling Out
    01:35
  • 3.13 - 2.013 Vertical Scaling
    01:26
  • 3.14 - 2.014 Horizontal Scaling
    02.11
  • 3.15 - 2.015 Features of MongoDB
    01:12
  • 3.16 - 2.016 Secondary Indexes
    01:21
  • 3.17 - 2.017 Replication
    03:23
  • 3.18 - 2.018 Replication (contd.)
    01:21
  • 3.19 - 2.019 Memory Management
    02:35
  • 3.20 - 2.020 Replica Set
    01:21
  • 3.21 - 2.021 Auto Sharding
    03:43
  • 3.22 - 2.022 Aggregation and MapReduce
    01:35
  • 3.23 - 2.023 Collection and Database
    02:11
  • 3.24 - 2.024 Schema Design and Modeling
    01:35
  • 3.25 - 2.025 Reference Data Model
    01:35
  • 3.26 - 2.026 Reference Data Model Example
    03:21
  • 3.27 - 2.027 Embedded Data Model
    01:35
  • 3.28 - 2.028 Embedded Data Model Example
    04:32
  • 3.29 - 2.029 Data Types
    01:32
  • 3.30 - 2.030 Data Types (contd.)
    01:32
  • 3.31 - 2.031 Data Types (contd.)
    02:32
  • 3.32 - 2.032 Core Servers of MongoDB
    03:31
  • 3.33 - 2.033 MongoDB s Tools
    01:32
  • 3.34 - 2.034 Installing MongoDB on Linux
    01:32
  • 3.35 - 2.035 Installing MongoDB on Linux
    02:45
  • 3.36 - 2.036 Installing MongoDB on Windows
    01:34
  • 3.37 - 2.037 Installing MongoDB on Windows
    04:21
  • 3.38 - 2.038 Starting MongoDB On Linux
    01:26
  • 3.39 - 2.039 Starting MongoDB On Linux
    01:34
  • 3.40 - 2.040 Starting MongoDB On Windows
    01:34
  • 3.41 - 2.041 Starting MongoDB On Windows
    01:35
  • 3.42 - 2.042 Use Cases
    04:22
  • 3.43 - 2.043 Use Cases (contd.)
    01:35
  • 3.44 - 2.44 Quiz
    01:32
  • 3.45 - 2.045 Summary
    02:11
  • 3.46 - 2.046 Conclusion
    00:54
  • 4.01 - 3.001 Lesson 3 CRUD Operations in MongoDB
    01:26
  • 4.02 - 3.002 Objectives
    01:32
  • 4.03 - 3.003 Data Modification in MongoDB
    03:11
  • 4.04 - 3.004 Batch Insert in MongoDB
    02:43
  • 4.05 - 3.005 Ordered Bulk Insert
    01:32
  • 4.06 - 3.006 Performing Ordered Bulk Insert
    01:32
  • 4.07 - 3.007 Performing Ordered Bulk Insert
    01:34
  • 4.08 - 3.008 Unordered Bulk Insert
    02.11
  • 4.09 - 3.009 Performing Un-ordered Bulk Insert
    01:32
  • 4.10 - 3.010 Performing Un-ordered Bulk Insert
    01:21
  • 4.11 - 3.011 Inserts Internals and Implications
    03:23
  • 4.12 - 3.012 Performing an Insert Operation
    04:34
  • 4.13 - 3.013 Performing an Insert Operation
    01:12
  • 4.14 - 3.014 Retrieving the documents
    03:21
  • 4.15 - 3.015 Specify Equality Condition
    01:26
  • 4.16 - 3.016 Retrieving Documents by Find Query
    01:12
  • 4.17 - 3.017 Retrieving Documents by Find Query
    02:32
  • 4.18 - 3.018 dollar in, AND Conditions
    02.11
  • 4.19 - 3.019 dollar or Operator
    02:45
  • 4.20 - 3.020 Specify AND or OR Conditions
    02:32
  • 4.21 - 3.021 Retrieving Documents by Using FindOne, AND or OR Conditions
    01:32
  • 4.22 - 3.022 Retrieving Documents by Using FindOne, AND or OR Conditions
    02:32
  • 4.23 - 3.023Regular Expression
    01:34
  • 4.24 - 3.024 Array Exact Match
    01:21
  • 4.25 - 3.025 Array Projection Operators
    02:11
  • 4.26 - 3.026 Retrieving Documents for Array Fields
    02.11
  • 4.27 - 3.027 Retrieving Documents for Array Fields
    01:32
  • 4.28 - 3.028 dollar Where Query
    01:35
  • 4.29 - 3.029 Cursor
    01:26
  • 4.30 - 3.030 Cursor (contd.)
    01:12
  • 4.31 - 3.031 Cursor (contd.)
    01:12
  • 4.32 - 3.032 Retrieving Documents Using Cursor
    02:45
  • 4.33 - 3.033 Retrieving Documents Using Cursor
    01:34
  • 4.34 - 3.034 Pagination
    01:32
  • 4.35 - 3.035 Pagination Avoiding Larger Skips
    02:35
  • 4.36 - 3.036 Advance query option
    01:12
  • 4.37 - 3.037 Update Operation
    01:21
  • 4.38 - 3.038 Updating Documents in MongoDB
    02:32
  • 4.39 - 3.039 Updating Documents in MongoDB
    01:26
  • 4.40 - 3.040 dollar SET
    03:11
  • 4.41 - 3.041 Updating Embedded Documents in MongoDB
    01:35
  • 4.42 - 3.042 Updating Embedded Documents in MongoDB
    02:35
  • 4.43 - 3.043 Updating Multiple Documents in MongoDB
    01:32
  • 4.44 - 3.044 Updating Multiple Documents in MongoDB
    01:32
  • 4.45 - 3.045 dollar Unset and dollar inc Modifiers
    01:32
  • 4.46 - 3.046 Dollar inc modifier to increment and decrement
    02:35
  • 4.47 - 3.047 Dollar inc modifier to increment and decrement
    01:26
  • 4.48 - 3.048 Replacing Existing Document with New Document
    01:12
  • 4.49 - 3.049 Replacing Existing Document with New Document
    01:32
  • 4.50 - 3.050 dollar Push and dollar addToSet
    01:21
  • 4.51 - 3.051 Positional Array Modification
    02:11
  • 4.52 - 3.052 Adding Elements into Array Fields
    01:32
  • 4.53 - 3.053 Adding Elements into Array Fields
    04:22
  • 4.54 - 3.054 Adding Elements to Array Fields Using AddToSet
    02:32
  • 4.55 - 3.055 Adding Elements to Array Fields Using AddToSet
    02.11
  • 4.56 - 3.056 Performing AddToSet
    02:45
  • 4.57 - 3.057 Performing AddToSet
    02:32
  • 4.58 - 3.058 Upsert
    02:32
  • 4.59 - 3.059 Removing Documents
    02:11
  • 4.60 - 3.060 Performing Upsert and Remove Operation
    01:12
  • 4.61 - 3.061 Performing Upsert and Remove Operation
    01:21
  • 4.62 - 3.62 Quiz
    00:25
  • 4.63 - 3.063 Summary
    00:54
  • 4.64 - 3.064 Conclusion
    00:46
  • 5.01 - 4.001 Lesson 4 Indexing and Aggregation
    01:12
  • 5.02 - 4.002 Objectives
    01:32
  • 5.03 - 4.003 Introduction to Indexing
    00:43
  • 5.04 - 4.004 Types of Index
    00:34
  • 5.05 - 4.005 Properties of Index
    01:12
  • 5.06 - 4.006 Single Field Index
    00:54
  • 5.07 - 4.007 Single Field Index on Embedded Document
    01:21
  • 5.08 - 4.008 Compound Indexes
    01:32
  • 5.09 - 4.009 Index Prefixes
    00:32
  • 5.10 - 4.010 Sort Order
    00:43
  • 5.11 - 4.011 Ensure Indexes Fit RAM
    02.11
  • 5.12 - 4.012 Multi-Key Indexes
    01:32
  • 5.13 - 4.013 Compound Multi-Key Indexes
    01:34
  • 5.14 - 4.014 Hashed Indexes
    00:46
  • 5.15 - 4.015 TTL Indexes
    01:26
  • 5.16 - 4.016 Unique Indexes
    01:12
  • 5.17 - 4.017 Sparse Indexes
    00:54
  • 5.18 - 4.018 Demo-Create Compound, Sparse, and Unique Indexes
    01:35
  • 5.19 - 4.019 Demo-Create Compound, Sparse, and Unique Indexes
    01:35
  • 5.20 - 4.020 Text Indexes
    01:26
  • 5.21 - 4.021 Demo-Create Single Field and Text Index
    01:21
  • 5.22 - 4.022 Demo-Create Single Field and Text Index
    04:34
  • 5.23 - 4.023 Text Search
    02:11
  • 5.24 - 4.024 Index Creation
    01:32
  • 5.25 - 4.025 Index Creation (contd.)
    02:11
  • 5.26 - 4.026 Index Creation on Replica Set
    00:34
  • 5.27 - 4.027 Remove Indexes
    01:26
  • 5.28 - 4.028 Modify Indexes
    00:25
  • 5.29 - 4.029 Demo-Drop and Index from a Collection
    01:35
  • 5.30 - 4.030 Demo-Drop and Index from a Collection
    04:34
  • 5.31 - 4.031 Rebuild Indexes
    01:26
  • 5.32 - 4.032 Listing Indexes
    01:12
  • 5.33 - 4.033 Demo-Retrieve Indexes for a Collection and Database
    03:11
  • 5.34 - 4.034 Demo-Retrieve Indexes for a Collection and Database
    02:43
  • 5.35 - 4.035 Measure Index Use
    01:35
  • 5.36 - 4.036 Demo-Use Mongo Shell Methods to Monitor Indexes
    00:32
  • 5.37 - 4.037 Demo-Use Mongo Shell Methods to Monitor Indexes
    01:35
  • 5.38 - 4.038 Control Index Use
    02.11
  • 5.39 - 4.039 Demo-Use the Explain, Dollar Hint and Dollar Natural Operators to Create Index
    04:22
  • 5.40 - 4.040 Demo-Use the Explain, Dollar Hint and Dollar Natural Operators to Create Index
    03:23
  • 5.41 - 4.041 Index Use Reporting
    01:32
  • 5.42 - 4.042 Geospatial Index
    01:32
  • 5.43 - 4.043 Demo-Create Geospatial Index
    00:46
  • 5.44 - 4.044 Demo-Create Geospatial Index
    04:34
  • 5.45 - 4.045 MongoDB s Geospatial Query Operators
    01:34
  • 5.46 - 4.046 Demo-Use Geospatial Index in a Query
    02.11
  • 5.47 - 4.047 Demo-Use Geospatial Index in a Query
    02:35
  • 5.48 - 4.048 Dollar GeoWith Operator
    03:31
  • 5.49 - 4.049 Proximity Queries in MongoDB
    01:32
  • 5.50 - 4.050 Aggregation
    02:11
  • 5.51 - 4.051 Aggregation (contd.)
    01:21
  • 5.52 - 4.052 Pipeline Operators and Indexes
    02:32
  • 5.53 - 4.053 Aggregate Pipeline Stages
    01:12
  • 5.54 - 4.054 Aggregate Pipeline Stages (contd.)
    00:34
  • 5.55 - 4.055 Aggregation Example
    02:11
  • 5.56 - 4.056 Demo-Use Aggregate Function
    01:32
  • 5.57 - 4.057 Demo-Use Aggregate Function
    02:35
  • 5.58 - 4.058 MapReduce
    01:35
  • 5.59 - 4.059 MapReduce (contd.)
    01:34
  • 5.60 - 4.060 MapReduce (contd.)
    01:12
  • 5.61 - 4.061 Demo-Use MapReduce in MongoDB
    01:21
  • 5.62 - 4.062 Demo-Use MapReduce in MongoDB
    02.11
  • 5.63 - 4.063 Aggregation Operations
    03:21
  • 5.64 - 4.064 Demo-Use Distinct and Count Methods
    04:21
  • 5.65 - 4.065 Demo-Use Distinct and Count Methods
    02:43
  • 5.66 - 4.065 Demo-Use Distinct and Count Methods
    02:32
  • 5.67 - 4.067 Demo-Use the Group Function
    01:34
  • 5.68 - 4.068 Demo-Use the Group Function
    02:45
  • 5.69 - 4.69 Quiz
    00:54
  • 5.70 - 4.070 Summary
    00:43
  • 5.71 - 4.071 Conclusion
    01:34
  • 6.01 - 5.001 Replication and Sharding
    00:32
  • 6.02 - 5.002 Objectives
    00:25
  • 6.03 - 5.003 Introduction to Replication
    01:12
  • 6.04 - 5.004 Master-Slave Replication
    01:26
  • 6.05 - 5.005 Replica Set in MongoDB
    01:21
  • 6.06 - 5.006 Replica Set in MongoDB (contd.)
    00:32
  • 6.07 - 5.007 Automatic Failover
    02:32
  • 6.08 - 5.008 Replica Set Members
    01:32
  • 6.09 - 5.009 Priority 0 Replica Set Members
    01:26
  • 6.10 - 5.010 Hidden Replica Set Members
    01:21
  • 6.11 - 5.011 Delayed Replica Set Members
    00:46
  • 6.12 - 5.012 Delayed Replica Set Members (contd.)
    01:12
  • 6.13 - 5.013 Demo-Start a Replica Set
    04:21
  • 6.14 - 5.014 Demo-Start a Replica Set
    03:23
  • 6.15 - 5.015 Write Concern
    00:54
  • 6.16 - 5.016 Write Concern (contd.)
    01:12
  • 6.17 - 5.017 Write Concern Levels
    01:12
  • 6.18 - 5.018 Write Concern for a Replica Set
    01:12
  • 6.19 - 5.019 Modify Default Write Concern
    01:26
  • 6.20 - 5.020 Read Preference
    01:12
  • 6.21 - 5.021 Read Preference Modes
    01:12
  • 6.22 - 5.022 Blocking for Replication
    00:46
  • 6.23 - 5.023 Tag Set
    00:43
  • 6.24 - 5.024 Configure Tag Sets for Replica set
    03:32
  • 6.25 - 5.025 Replica Set Deployment Strategies
    02:32
  • 6.26 - 5.026 Replica Set Deployment Strategies (contd.)
    02:11
  • 6.27 - 5.027 Replica Set Deployment Patterns
    01:32
  • 6.28 - 5.028 Oplog File
    01:35
  • 6.29 - 5.029 Replication State and Local Database
    00:54
  • 6.30 - 5.030 Replication Administration
    01:12
  • 6.31 - 5.031 Demo-Check a Replica Set Status
    04:21
  • 6.32 - 5.032 Demo-Check a Replica Set Status
    03:23
  • 6.33 - 5.033 Sharding
    01:00
  • 6.34 - 5.034 When to Use Sharding
    01:21
  • 6.35 - 5.035 What is a Shard
    01:12
  • 6.36 - 5.036 What is a Shard Key
    00:43
  • 6.37 - 5.037 Choosing a Shard Key
    00:54
  • 6.38 - 5.038 Ideal Shard Key
    01:21
  • 6.39 - 5.039 Range-Based Shard Key
    01:12
  • 6.40 - 5.040 Hash-Based Sharding
    01:12
  • 6.41 - 5.041 Impact of Shard Keys on Cluster Operation
    03:32
  • 6.42 - 5.042 Production Cluster Architecture
    01:21
  • 6.43 - 5.043 Config Server Availability
    02:32
  • 6.44 - 5.044 Production Cluster Deployment
    02:11
  • 6.45 - 5.045 Deploy a Sharded Cluster
    01:32
  • 6.46 - 5.046 Add Shards to a Cluster
    02:11
  • 6.47 - 5.047 Demo-Create a Sharded Cluster
    03:23
  • 6.48 - 5.048 Demo-Create a Sharded Cluster
    02:32
  • 6.49 - 5.049 Enable Sharding for Database
    02:11
  • 6.50 - 5.050 Enable Sharding for Collection
    01:34
  • 6.51 - 5.051 Enable Sharding for Collection (contd.)
    02:11
  • 6.52 - 5.052 Maintaining a Balanced Data Distribution
    01:35
  • 6.53 - 5.053 Splitting
    01:21
  • 6.54 - 5.054 Chunk Size
    01:12
  • 6.55 - 5.055 Special Chunk Type
    01:21
  • 6.56 - 5.056 Shard Balancing
    02:32
  • 6.57 - 5.057 Shard Balancing (contd.)
    01:12
  • 6.58 - 5.058 Customized Data Distribution with Tag Aware Sharding
    00:54
  • 6.59 - 5.059 Tag Aware Sharding
    01:12
  • 6.60 - 5.060 Add Shard Tags
    00:54
  • 6.61 - 5.061 Remove Shard Tags
    01:21
  • 6.62 - 5.62 Quiz
    00:25
  • 6.63 - 5.063 Summary
    00:34
  • 6.64 - 5.064 Conclusion
    01:21
  • 7.01 - 6.001 Developing Java and Node JS Application with MongoDB
    01:32
  • 7.02 - 6.002 Objectives
    00:34
  • 7.03 - 6.003 Capped Collection
    01:12
  • 7.04 - 6.004 Capped Collection Creation
    01:21
  • 7.05 - 6.005 Capped Collection Creation (contd.)
    01:12
  • 7.06 - 6.006 Demo-Create a Capped Collection in MongoDB
    03:23
  • 7.07 - 6.007 Demo-Create a Capped Collection in MongoDB
    03:32
  • 7.08 - 6.008 Capped Collection Restriction
    01:21
  • 7.09 - 6.009 TTL Collection Features
    02:32
  • 7.10 - 6.010 Demo-Create TTL Indexes
    00:32
  • 7.11 - 6.011 Demo-Create TTL Indexes
    03:32
  • 7.12 - 6.012 GridFS
    01:12
  • 7.13 - 6.013 GridFS Collection
    01:32
  • 7.14 - 6.014 Demo-Create GridFS in MongoDB Java Application
    02:11
  • 7.15 - 6.015 Demo-Create GridFS in MongoDB Java Application
    02:11
  • 7.16 - 6.016 MongoDB Drivers and Client Libraries
    02:32
  • 7.17 - 6.017 Develop Java Application with MongoDB
    02:43
  • 7.18 - 6.018 Connecting to MonogDB from Java Program
    04:32
  • 7.19 - 6.019 Create Collection From Java Program
    03:23
  • 7.20 - 6.020 Insert Documents From Java Program
    01:26
  • 7.21 - 6.021 Insert Documents Using Java Code Example
    02:45
  • 7.22 - 6.022 Demo-Insert a Document Using Java
    04:21
  • 7.23 - 6.023 Demo-Insert a Document Using Java
    03:32
  • 7.24 - 6.024 Retrieve Documents Using Java Code
    02:11
  • 7.25 - 6.025 Demo-Retrieve Document Using Java
    04:21
  • 7.26 - 6.026 Demo-Retrieve Document Using Java
    03:11
  • 7.27 - 6.027 Update Documents Using Java Code
    02:35
  • 7.28 - 6.028 Demo-Update Document Using Java
    01:32
  • 7.29 - 6.029 Demo-Update Document Using Java
    04:21
  • 7.30 - 6.030 Delete Documents Using Java Code
    01:34
  • 7.31 - 6.031 Demo-Delete Document Using Java
    03:43
  • 7.32 - 6.032 Demo-Delete Document Using Java
    02.11
  • 7.33 - 6.033 Store Images Using GridFS API
    02:43
  • 7.34 - 6.034 Retrieve Images Using GridFS API
    01:26
  • 7.35 - 6.035 Remove Image Using GridFS API
    01:34
  • 7.36 - 6.036 Remove Image Using GridFS API (contd..)
    00:43
  • 7.37 - 6.037 Connection Creation Using Node JS
    01:26
  • 7.38 - 6.038 Insert Operations Using Node JS
    02:11
  • 7.39 - 6.039 Insert Operations Using Node JS (contd.)
    00:54
  • 7.40 - 6.040 Demo-Perform CRUD Operation in Node JS
    03:23
  • 7.41 - 6.041 Demo-Perform CRUD Operation in Node JS
    02:32
  • 7.42 - 6.042 Demo-Perform Insert and Retrieve Operations Using Node JS
    04:21
  • 7.43 - 6.043 Demo-Perform Insert and Retrieve Operations Using Node JS
    03:21
  • 7.44 - 6.044 Update Operations Using Node JS
    02:45
  • 7.45 - 6.045 Retrieve Documents Using Node JS
    01:34
  • 7.46 - 6.046 Using DB Cursor to Retrieve Documents
    01:12
  • 7.47 - 6.047 Mongoose ODM Module in Node JS
    00:46
  • 7.48 - 6.048 Defining Schema Using Mongoose
    00:34
  • 7.49 - 6.049 Defining Schema Using Mongoose (contd.)
    00:54
  • 7.50 - 6.050 Demo-Use Mongoose to Define Schema
    05:44
  • 7.51 - 6.051 Demo-Use Mongoose to Define Schema
    03:32
  • 7.52 - 6.052 Demo-How to Run Node JS Using Mongoose
    00:54
  • 7.53 - 6.053 Demo-How to Run Node JS Using Mongoose
    03:32
  • 7.54 - 6.54 Quiz
    00:25
  • 7.55 - 6.055 Summary
    00:43
  • 7.56 - 6.056 Conclusion
    00:25
  • 8.01 - 7.001 Administration of MongoDB Cluster Operations
    01:12
  • 8.02 - 7.002 Objectives
    01:12
  • 8.03 - 7.016 Memory-Mapped Files
    00:32
  • 8.04 - 7.017 Journaling Mechanics
    00:46
  • 8.05 - 7.018 Storage Engines
    00:32
  • 8.06 - 7.019 MMAPv1 Storage Engine
    00:34
  • 8.07 - 7.020 Wired tiger Storage Engine
    00:25
  • 8.08 - 7.021 Wired Tiger Compression Support
    01:34
  • 8.09 - 7.022 Power of two sized allocations
    01:12
  • 8.10 - 7.023 No Padding Allocation Strategy
    00:46
  • 8.11 - 7.024 Diagnosing Performance Issues
    01:12
  • 8.12 - 7.025 Diagnosing Performance issues contd
    02:35
  • 8.13 - 7.026 Diagnosing performance issue
    02.11
  • 8.14 - 7.027 Demo Monitor Performance issue in Mongo DB
    00:25
  • 8.15 - 7.028 Demo-Monitor Performance in MongoDB
    01:34
  • 8.16 - 7.029 Optimization Strategies for MongoDB
    01:12
  • 8.17 - 7.030 Configure Tag Sets for Replica Set
    02:11
  • 8.18 - 7.031 Optimize Query Performance
    01:35
  • 8.19 - 7.032 Monitoring Strategies for MongoDB
    02.11
  • 8.20 - 7.033 MongoDB Utilities
    01:34
  • 8.21 - 7.034 MongoDB Commands
    01:34
  • 8.22 - 7.035 MongoDB Management service (MMS)
    02:11
  • 8.23 - 7.036 Data Backup Strategies in MongoDB
    03:11
  • 8.24 - 7.037 Copying Underlying Data Files
    01:35
  • 8.25 - 7.038 Backup with MongoDump
    01:26
  • 8.26 - 7.039 Fsync and Lock
    02:35
  • 8.27 - 7.040 MongoDB Ops Manager Backup Software
    01:35
  • 8.28 - 7.041 Security Strategies in MongoDB
    01:34
  • 8.29 - 7.042 Authentication Implementation in MongoDB
    01:34
  • 8.30 - 7.043 Authentication in a Replica set
    01:26
  • 8.31 - 7.044 Authentication on Sharded Clusters
    01:26
  • 8.32 - 7.045 Authorization
    02:11
  • 8.33 - 7.046 End-to-End Auditing for Compliance
    01:34
  • 8.34 - 7.47 Quiz
    00:32
  • 8.35 - 7.048 Summary
    00:25
  • 8.36 - 7.049 Conclusion
    00:46
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Mongodb Certification Training Exam & Certification

Upon successful completion of the MongoDB certification course, FiestTech will provide you with an industry-recognized course completion certificate which has lifelong validity.
 

This MongoDB certification training will equip you with concepts of MongoDB development services, the most popular NoSQL database, to handle their increasing data storage and handling demands and data modeling, ingestion, query, sharding, and data replication with MongoDB, along with installing, updating, and maintaining the MongoDB environment.  This online course will train you on MongoDB configuration and backup methods as well as monitoring and operational strategies. The MongoDB course completion certification from Simplilearn will attest to your new skills and on-the-job expertise to become a MongoDB Developer.
 

Online Classroom:
You need to attend one complete batch of MongoDB certification training.
Complete 1 project and 1 simulation test with a minimum score of 60%.
Online Self-Learning:
Complete 85% of the course.
Complete 1 project and 1 simulation test with a minimum score of 60%.
What is the cost of the MongoDB certification exam?
The cost of the MongoDB certification exam is $150.

Candidates get 90 minutes to complete the MongoDB Developer certification exam.
 

The MongoDB Developer certification exam is conducted online and the questions type to be answered are multiple choice questions.
 

The result is declared within a week of attempting the MongoDB Developer certification exam.
 

Candidates get the pdf format of the MongoDB Developer certificate along with a license number and a digital badge to verify the certificate.
 

Yes, we provide 1 practice test as part of our course to help you prepare for the actual certification exam. You can try this Free MongoDB Developer Exam Practice Test to understand the type of tests that are part of the course curriculum.  

FAQS

Mongodb Certification Training Course FAQs

We offer 24/7 support through email, chat, and telephone. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

 Online classroom training for the MongoDB certification course is conducted via online live streaming of each class. The classes are conducted by a MongoDB certified trainer with more than 15 years of work and training experience.

 

Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in the MongoDB in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

 All of our highly qualified MongoDB trainers are industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

 If you enroll for self-paced e-learning, you will have access to pre-recorded videos. If you enroll for the Online Classroom Flexi-Pass, you will have access to live MongoDB training conducted online as well as the pre-recorded videos.

 Problem statements along with Data points are provided in the Learning Management System.  On the completion of the MongoDB certification course, you have to submit the project which will be evaluated by the trainer. On the successful evaluation of the project and completion of the online exam, you will get certified as MongoDB skilled professional.

 Beginners can begin learning MongoDB if they have prior knowledge of databases, query language, and operating systems like Linux. This MongoDB certification helps beginners learn everything from scratch and master MongoDB concepts in a short span of time.

 MongoDB is an open-source document database that gives you the flexibility and scalability regarding the desired querying and indexing. Its document model is simple for developers to understand as it stores data in flexible JSON-like documents.

You can enroll in this MongoDB certification training on our website and make an online payment using any of the following options:  

  • Visa Credit or Debit Card
  • MasterCard
  • American Express
  • Diner’s Club
  • PayPal

Once payment is received you will automatically receive a payment receipt and access information via email.

You can either enroll in our Big Data Engineer certification training or if you are looking to get the University certificate, you can enroll in the Post Graduate Program in Data Engineering.

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