Course description

  • Why learn Mongo DB Developer?

  • What is the focus of this course?

    MongoDB Developer and Administrator certification from Simplilearn 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 Simplilearn’s 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 skill sets 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
       

  • Who should do this course?

    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.

Course preview

    • Lesson 0 - Course Introduction 03:49
      • 0.001 Course Introduction 00:09
      • 0.002 Table of Contents 00:35
      • 0.003 Objectives 00:40
      • 0.004 Course Overview 00:54
      • 0.005 Value to Professionals and Organizations 00:59
      • 0.006 Course Prerequisites 00:17
      • 0.007 Lessons Covered 00:07
      • 0.008 Conclusion 00:08
    • Lesson 1 - Introduction to NoSQL databases 31:44
      • 1.001 Lesson1 NoSQL database introduction 00:15
      • 1.002 Objectives 00:34
      • 1.003 What is NoSQL 01:01
      • 1.004 What is NoSQL (contd.) 00:27
      • 1.005 Why NoSQL 01:29
      • 1.006 Difference Between RDBMS and NoSQL Databases 02:22
      • 1.007 Benefits of NoSQL 04:41
      • 1.008 Benefits of NoSQL (contd.) 04:07
      • 1.009 Types of NoSQL 01:30
      • 1.010 Key-Value Database 01:31
      • 1.011 Key-Value Database (contd.) 01:28
      • 1.012 Document Database 00:51
      • 1.013 Document Database Example 00:55
      • 1.014 Column-Based Database 00:53
      • 1.015 Column-Based Database (contd.) 01:04
      • 1.016 Column-Based Database (contd.) 00:24
      • 1.017 Column-Based Database Example 00:21
      • 1.018 Graph Database 01:11
      • 1.019 Graph Database (contd.) 01:12
      • 1.020 CAP Theorem 00:28
      • 1.021 CAP Theorem (contd.) 01:04
      • 1.022 Consistency 00:49
      • 1.023 Availability 00:26
      • 1.024 Partition Tolerance 00:58
      • 1.025 Mongo DB as Per CAP 00:49
      • 1.26 Quiz
      • 1.027 Summary 00:44
      • 1.028 Conclusion 00:10
    • Lesson 2 - MongoDB A Database for the Modern Web 49:33
      • 2.001 Lesson 2 MongoDB-A Database for the Modern Web 00:19
      • 2.002 Objectives 00:41
      • 2.003 What is MongoDB 01:11
      • 2.004 JSON 00:50
      • 2.005 JSON Structure 01:22
      • 2.006 BSON 01:27
      • 2.007 MongoDB Structure 01:25
      • 2.008 Document Store Example 00:33
      • 2.009 MongoDB as a Document Database 01:34
      • 2.010 Transaction Management in MogoDB 00:33
      • 2.011 Easy Scaling 00:52
      • 2.012 Scaling Up vs. Scaling Out 00:49
      • 2.013 Vertical Scaling 00:50
      • 2.014 Horizontal Scaling 01:30
      • 2.015 Features of MongoDB 01:42
      • 2.016 Secondary Indexes 00:40
      • 2.017 Replication 00:57
      • 2.018 Replication (contd.) 00:21
      • 2.019 Memory Management 00:43
      • 2.020 Replica Set 00:48
      • 2.021 Auto Sharding 00:57
      • 2.022 Aggregation and MapReduce 01:11
      • 2.023 Collection and Database 01:01
      • 2.024 Schema Design and Modeling 00:46
      • 2.025 Reference Data Model 01:17
      • 2.026 Reference Data Model Example 00:44
      • 2.027 Embedded Data Model 01:09
      • 2.028 Embedded Data Model Example 00:29
      • 2.029 Data Types 01:25
      • 2.030 Data Types (contd.) 02:03
      • 2.031 Data Types (contd.) 01:02
      • 2.032 Core Servers of MongoDB 01:27
      • 2.033 MongoDB s Tools 02:57
      • 2.034 Installing MongoDB on Linux 00:05
      • 2.035 Installing MongoDB on Linux 03:01
      • 2.036 Installing MongoDB on Windows 00:06
      • 2.037 Installing MongoDB on Windows 01:22
      • 2.038 Starting MongoDB On Linux 00:05
      • 2.039 Starting MongoDB On Linux 01:25
      • 2.040 Starting MongoDB On Windows 00:04
      • 2.041 Starting MongoDB On Windows 01:38
      • 2.042 Use Cases 02:40
      • 2.043 Use Cases (contd.) 02:28
      • 2.44 Quiz
      • 2.045 Summary 00:52
      • 2.046 Conclusion 00:12
    • Lesson 3 - CRUD Operations in MongoDB 1:03:47
      • 3.001 Lesson 3 CRUD Operations in MongoDB 00:22
      • 3.002 Objectives 01:07
      • 3.003 Data Modification in MongoDB 00:52
      • 3.004 Batch Insert in MongoDB 01:45
      • 3.005 Ordered Bulk Insert 01:49
      • 3.006 Performing Ordered Bulk Insert 00:06
      • 3.007 Performing Ordered Bulk Insert 01:57
      • 3.008 Unordered Bulk Insert 01:08
      • 3.009 Performing Un-ordered Bulk Insert 00:06
      • 3.010 Performing Un-ordered Bulk Insert 01:50
      • 3.011 Inserts Internals and Implications 01:13
      • 3.012 Performing an Insert Operation 00:06
      • 3.013 Performing an Insert Operation 01:51
      • 3.014 Retrieving the documents 00:47
      • 3.015 Specify Equality Condition 01:32
      • 3.016 Retrieving Documents by Find Query 00:07
      • 3.017 Retrieving Documents by Find Query 01:12
      • 3.018 dollar in, AND Conditions 01:36
      • 3.019 dollar or Operator 00:46
      • 3.020 Specify AND or OR Conditions 01:05
      • 3.021 Retrieving Documents by Using FindOne, AND or OR Conditions 00:09
      • 3.022 Retrieving Documents by Using FindOne, AND or OR Conditions 01:49
      • 3.023Regular Expression 00:47
      • 3.024 Array Exact Match 00:45
      • 3.025 Array Projection Operators 00:48
      • 3.026 Retrieving Documents for Array Fields 00:05
      • 3.027 Retrieving Documents for Array Fields 01:52
      • 3.028 dollar Where Query 01:13
      • 3.029 Cursor 01:51
      • 3.030 Cursor (contd.) 01:49
      • 3.031 Cursor (contd.) 01:49
      • 3.032 Retrieving Documents Using Cursor 00:06
      • 3.033 Retrieving Documents Using Cursor 02:48
      • 3.034 Pagination 00:48
      • 3.035 Pagination Avoiding Larger Skips 00:49
      • 3.036 Advance query option 01:18
      • 3.037 Update Operation 01:02
      • 3.038 Updating Documents in MongoDB 00:06
      • 3.039 Updating Documents in MongoDB 01:23
      • 3.040 dollar SET 01:38
      • 3.041 Updating Embedded Documents in MongoDB 00:06
      • 3.042 Updating Embedded Documents in MongoDB 01:06
      • 3.043 Updating Multiple Documents in MongoDB 00:06
      • 3.044 Updating Multiple Documents in MongoDB 01:31
      • 3.045 dollar Unset and dollar inc Modifiers 01:02
      • 3.046 Dollar inc modifier to increment and decrement 00:07
      • 3.047 Dollar inc modifier to increment and decrement 02:35
      • 3.048 Replacing Existing Document with New Document 00:07
      • 3.049 Replacing Existing Document with New Document 01:14
      • 3.050 dollar Push and dollar addToSet 00:43
      • 3.051 Positional Array Modification 01:26
      • 3.052 Adding Elements into Array Fields 00:06
      • 3.053 Adding Elements into Array Fields 01:46
      • 3.054 Adding Elements to Array Fields Using AddToSet 00:06
      • 3.055 Adding Elements to Array Fields Using AddToSet 01:12
      • 3.056 Performing AddToSet 00:08
      • 3.057 Performing AddToSet 00:49
      • 3.058 Upsert 01:22
      • 3.059 Removing Documents 01:16
      • 3.060 Performing Upsert and Remove Operation 00:07
      • 3.061 Performing Upsert and Remove Operation 01:31
      • 3.62 Quiz
      • 3.063 Summary 00:58
      • 3.064 Conclusion 00:11
    • Lesson 4 - Indexing and Aggregation 1:14:15
      • 4.001 Lesson 4 Indexing and Aggregation 00:20
      • 4.002 Objectives 00:50
      • 4.003 Introduction to Indexing 01:08
      • 4.004 Types of Index 01:51
      • 4.005 Properties of Index 01:14
      • 4.006 Single Field Index 00:41
      • 4.007 Single Field Index on Embedded Document 00:37
      • 4.008 Compound Indexes 00:58
      • 4.009 Index Prefixes 01:02
      • 4.010 Sort Order 01:07
      • 4.011 Ensure Indexes Fit RAM 00:46
      • 4.012 Multi-Key Indexes 00:54
      • 4.013 Compound Multi-Key Indexes 00:44
      • 4.014 Hashed Indexes 01:01
      • 4.015 TTL Indexes 01:42
      • 4.016 Unique Indexes 01:17
      • 4.017 Sparse Indexes 01:23
      • 4.018 Demo-Create Compound, Sparse, and Unique Indexes 00:07
      • 4.019 Demo-Create Compound, Sparse, and Unique Indexes 01:52
      • 4.020 Text Indexes 01:20
      • 4.021 Demo-Create Single Field and Text Index 00:06
      • 4.022 Demo-Create Single Field and Text Index 02:29
      • 4.023 Text Search 01:30
      • 4.024 Index Creation 00:56
      • 4.025 Index Creation (contd.) 01:35
      • 4.026 Index Creation on Replica Set 01:34
      • 4.027 Remove Indexes 00:37
      • 4.028 Modify Indexes 00:53
      • 4.029 Demo-Drop and Index from a Collection 00:05
      • 4.030 Demo-Drop and Index from a Collection 01:29
      • 4.031 Rebuild Indexes 01:07
      • 4.032 Listing Indexes 00:37
      • 4.033 Demo-Retrieve Indexes for a Collection and Database 00:07
      • 4.034 Demo-Retrieve Indexes for a Collection and Database 01:24
      • 4.035 Measure Index Use 00:44
      • 4.036 Demo-Use Mongo Shell Methods to Monitor Indexes 00:07
      • 4.037 Demo-Use Mongo Shell Methods to Monitor Indexes 02:26
      • 4.038 Control Index Use 01:08
      • 4.039 Demo-Use the Explain, Dollar Hint and Dollar Natural Operators to Create Index 00:08
      • 4.040 Demo-Use the Explain, Dollar Hint and Dollar Natural Operators to Create Index 01:59
      • 4.041 Index Use Reporting 01:50
      • 4.042 Geospatial Index 01:22
      • 4.043 Demo-Create Geospatial Index 00:06
      • 4.044 Demo-Create Geospatial Index 03:34
      • 4.045 MongoDB s Geospatial Query Operators 01:08
      • 4.046 Demo-Use Geospatial Index in a Query 00:07
      • 4.047 Demo-Use Geospatial Index in a Query 02:19
      • 4.048 Dollar GeoWith Operator 00:32
      • 4.049 Proximity Queries in MongoDB 00:46
      • 4.050 Aggregation 01:35
      • 4.051 Aggregation (contd.) 00:38
      • 4.052 Pipeline Operators and Indexes 01:03
      • 4.053 Aggregate Pipeline Stages 01:43
      • 4.054 Aggregate Pipeline Stages (contd.) 01:08
      • 4.055 Aggregation Example 01:17
      • 4.056 Demo-Use Aggregate Function 00:06
      • 4.057 Demo-Use Aggregate Function 01:37
      • 4.058 MapReduce 00:50
      • 4.059 MapReduce (contd.) 01:13
      • 4.060 MapReduce (contd.) 00:56
      • 4.061 Demo-Use MapReduce in MongoDB 00:06
      • 4.062 Demo-Use MapReduce in MongoDB 02:36
      • 4.063 Aggregation Operations 01:25
      • 4.064 Demo-Use Distinct and Count Methods 00:06
      • 4.065 Demo-Use Distinct and Count Methods 01:21
      • 4.066 Aggregation Operations (contd.) 00:39
      • 4.067 Demo-Use the Group Function 00:05
      • 4.068 Demo-Use the Group Function 00:54
      • 4.69 Quiz
      • 4.070 Summary 01:07
      • 4.071 Conclusion 00:11
    • Lesson 5 - Replication and Sharding 1:14:51
      • 5.001 Replication and Sharding 00:21
      • 5.002 Objectives 00:47
      • 5.003 Introduction to Replication 01:20
      • 5.004 Master-Slave Replication 00:40
      • 5.005 Replica Set in MongoDB 01:45
      • 5.006 Replica Set in MongoDB (contd.) 01:02
      • 5.007 Automatic Failover 00:54
      • 5.008 Replica Set Members 01:01
      • 5.009 Priority 0 Replica Set Members 01:11
      • 5.010 Hidden Replica Set Members 01:05
      • 5.011 Delayed Replica Set Members 01:07
      • 5.012 Delayed Replica Set Members (contd.) 00:56
      • 5.013 Demo-Start a Replica Set 00:05
      • 5.014 Demo-Start a Replica Set 02:40
      • 5.015 Write Concern 01:36
      • 5.016 Write Concern (contd.) 00:52
      • 5.017 Write Concern Levels 01:25
      • 5.018 Write Concern for a Replica Set 01:08
      • 5.019 Modify Default Write Concern 00:57
      • 5.020 Read Preference 01:03
      • 5.021 Read Preference Modes 01:03
      • 5.022 Blocking for Replication 01:29
      • 5.023 Tag Set 01:25
      • 5.024 Configure Tag Sets for Replica set 02:13
      • 5.025 Replica Set Deployment Strategies 01:54
      • 5.026 Replica Set Deployment Strategies (contd.) 01:40
      • 5.027 Replica Set Deployment Patterns 00:40
      • 5.028 Oplog File 01:29
      • 5.029 Replication State and Local Database 01:00
      • 5.030 Replication Administration 01:24
      • 5.031 Demo-Check a Replica Set Status 00:07
      • 5.032 Demo-Check a Replica Set Status 02:22
      • 5.033 Sharding 01:50
      • 5.034 When to Use Sharding 01:13
      • 5.035 What is a Shard 01:00
      • 5.036 What is a Shard Key 00:56
      • 5.037 Choosing a Shard Key 00:27
      • 5.038 Ideal Shard Key 01:29
      • 5.039 Range-Based Shard Key 01:20
      • 5.040 Hash-Based Sharding 00:57
      • 5.041 Impact of Shard Keys on Cluster Operation 01:48
      • 5.042 Production Cluster Architecture 01:42
      • 5.043 Config Server Availability 01:11
      • 5.044 Production Cluster Deployment 01:31
      • 5.045 Deploy a Sharded Cluster 01:34
      • 5.046 Add Shards to a Cluster 01:33
      • 5.047 Demo-Create a Sharded Cluster 00:06
      • 5.048 Demo-Create a Sharded Cluster 03:02
      • 5.049 Enable Sharding for Database 01:05
      • 5.050 Enable Sharding for Collection 00:52
      • 5.051 Enable Sharding for Collection (contd.) 00:36
      • 5.052 Maintaining a Balanced Data Distribution 00:34
      • 5.053 Splitting 00:40
      • 5.054 Chunk Size 01:30
      • 5.055 Special Chunk Type 00:57
      • 5.056 Shard Balancing 02:09
      • 5.057 Shard Balancing (contd.) 00:47
      • 5.058 Customized Data Distribution with Tag Aware Sharding 00:36
      • 5.059 Tag Aware Sharding 00:38
      • 5.060 Add Shard Tags 01:29
      • 5.061 Remove Shard Tags 01:12
      • 5.62 Quiz
      • 5.063 Summary 01:16
      • 5.064 Conclusion 00:10
    • Lesson 6 - Developing Java and Node JS Application with MongoDB 47:02
      • 6.001 Developing Java and Node JS Application with MongoDB 00:17
      • 6.002 Objectives 00:38
      • 6.003 Capped Collection 01:15
      • 6.004 Capped Collection Creation 00:57
      • 6.005 Capped Collection Creation (contd.) 00:53
      • 6.006 Demo-Create a Capped Collection in MongoDB 00:05
      • 6.007 Demo-Create a Capped Collection in MongoDB 01:55
      • 6.008 Capped Collection Restriction 01:11
      • 6.009 TTL Collection Features 00:57
      • 6.010 Demo-Create TTL Indexes 00:06
      • 6.011 Demo-Create TTL Indexes 02:14
      • 6.012 GridFS 01:03
      • 6.013 GridFS Collection 01:43
      • 6.014 Demo-Create GridFS in MongoDB Java Application 00:06
      • 6.015 Demo-Create GridFS in MongoDB Java Application 02:36
      • 6.016 MongoDB Drivers and Client Libraries 00:30
      • 6.017 Develop Java Application with MongoDB 00:56
      • 6.018 Connecting to MonogDB from Java Program 00:50
      • 6.019 Create Collection From Java Program 00:45
      • 6.020 Insert Documents From Java Program 00:39
      • 6.021 Insert Documents Using Java Code Example 00:42
      • 6.022 Demo-Insert a Document Using Java 00:04
      • 6.023 Demo-Insert a Document Using Java 02:41
      • 6.024 Retrieve Documents Using Java Code 00:29
      • 6.025 Demo-Retrieve Document Using Java 00:04
      • 6.026 Demo-Retrieve Document Using Java 01:38
      • 6.027 Update Documents Using Java Code 00:29
      • 6.028 Demo-Update Document Using Java 00:04
      • 6.029 Demo-Update Document Using Java 02:13
      • 6.030 Delete Documents Using Java Code 00:23
      • 6.031 Demo-Delete Document Using Java 00:05
      • 6.032 Demo-Delete Document Using Java 01:38
      • 6.033 Store Images Using GridFS API 00:56
      • 6.034 Retrieve Images Using GridFS API 00:35
      • 6.035 Remove Image Using GridFS API 00:14
      • 6.036 Remove Image Using GridFS API (contd..) 00:49
      • 6.037 Connection Creation Using Node JS 01:03
      • 6.038 Insert Operations Using Node JS 00:49
      • 6.039 Insert Operations Using Node JS (contd.) 01:02
      • 6.040 Demo-Perform CRUD Operation in Node JS 00:05
      • 6.041 Demo-Perform CRUD Operation in Node JS 02:29
      • 6.042 Demo-Perform Insert and Retrieve Operations Using Node JS 00:05
      • 6.043 Demo-Perform Insert and Retrieve Operations Using Node JS 01:07
      • 6.044 Update Operations Using Node JS 00:19
      • 6.045 Retrieve Documents Using Node JS 00:40
      • 6.046 Using DB Cursor to Retrieve Documents 00:26
      • 6.047 Mongoose ODM Module in Node JS 00:39
      • 6.048 Defining Schema Using Mongoose 00:50
      • 6.049 Defining Schema Using Mongoose (contd.) 00:58
      • 6.050 Demo-Use Mongoose to Define Schema 00:07
      • 6.051 Demo-Use Mongoose to Define Schema 01:27
      • 6.052 Demo-How to Run Node JS Using Mongoose 00:09
      • 6.053 Demo-How to Run Node JS Using Mongoose 00:55
      • 6.54 Quiz
      • 6.055 Summary 01:03
      • 6.056 Conclusion 00:09
    • Lesson 7 - Administration of MongoDB Cluster Operations 59:20
      • 7.001 Administration of MongoDB Cluster Operations 00:17
      • 7.002 Objectives 00:28
      • 7.003 Capped Collection 01:15
      • 7.004 Capped Collection Creation 00:57
      • 7.005 Capped Collection Creation (contd.) 00:53
      • 7.006 Demo-Create a Capped Collection in MongoDB 00:05
      • 7.007 Demo-Create a Capped Collection in MongoDB 01:55
      • 7.008 Capped Collection Restriction 01:11
      • 7.009 TTL Collection Features 00:57
      • 7.010 Demo-Create TTL Indexes 00:05
      • 7.011 Demo-Create TTL Indexes 02:14
      • 7.012 GridFS 01:03
      • 7.013 GridFS Collection 01:43
      • 7.014 Demo-Create GridFS in MongoDB Java Application 00:06
      • 7.015 Demo-Create GridFS in MongoDB Java Application 02:36
      • 7.016 Memory-Mapped Files 01:17
      • 7.017 Journaling Mechanics 01:25
      • 7.018 Storage Engines 00:35
      • 7.019 MMAPv1 Storage Engine 00:48
      • 7.020 WiredTiger Storage Engine 01:47
      • 7.021 WiredTiger Compression Support 00:56
      • 7.022 Power of 2-Sized Allocations 01:14
      • 7.023 No Padding Allocation Strategy 00:40
      • 7.024 Diagnosing Performance Issues 00:57
      • 7.025 Diagnosing Performance Issues (contd.) 02:07
      • 7.026 Diagnosing Performance Issues (contd.) 02:28
      • 7.027 Demo-Monitor Performance in MongoDB 00:05
      • 7.028 Demo-Monitor Performance in MongoDB 02:05
      • 7.029 Optimization Strategies for MongoDB 01:42
      • 7.030 Configure Tag Sets for Replica Set 00:49
      • 7.031 Optimize Query Performance 02:08
      • 7.032 Monitoring Strategies for MongoDB 00:49
      • 7.033 MongoDB Utilities 01:33
      • 7.034 MongoDB Commands 02:25
      • 7.035 MongoDB Management service (MMS) 00:26
      • 7.036 Data Backup Strategies in MongoDB 00:28
      • 7.037 Copying Underlying Data Files 01:59
      • 7.038 Backup with MongoDump 01:59
      • 7.039 Fsync and Lock 01:49
      • 7.040 MongoDB Ops Manager Backup Software 00:46
      • 7.041 Security Strategies in MongoDB 01:33
      • 7.042 Authentication Implementation in MongoDB 01:54
      • 7.043 Authentication in a Replica set 01:06
      • 7.044 Authentication on Sharded Clusters 01:30
      • 7.045 Authorization 02:11
      • 7.046 End-to-End Auditing for Compliance 00:46
      • 7.47 Quiz
      • 7.048 Summary 01:08
      • 7.049 Conclusion 00:10
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Exam & certification FREE PRACTICE TEST

  • How to become a Certified MongoDB Professional?

    To become a Certified MongoDB Professional, it is mandatory to fulfill both the following criteria:
    • Completing project given by Simplilearn. The project is evaluated by the lead trainer. Necessary screenshots of the project output should be submitted via LMS within 3 months of the completion of training. In case, you have any queries or difficulties while solving project then you can get assistance from experts at SimpliTalk to clarify such queries & difficulties. For Online Classroom Training, in case you have doubts in implementing the project, you may attend any of the ongoing batches of MongoDB Developer and Administrator Certification Training to get help in Project work.
    • Clearing the online examination with a minimum score of 80%. In case, you don’t clear the online exam in the first attempt, you can re-attempt the exam one more time.
    At the end of the course, you will receive an experience certificate stating that you have 3 months experience in implementing MongoDB Developer and Administrator project.

    Note: It is mandatory that you fulfill both the criteria i.e. completion of any one Project and clearing the online exam with minimum score of 80%, to become a Certified MongoDB Professional.

  • What are the prerequisites for the course?

    The prerequisites for the MongoDB Certification course are:

    • Fundamental knowledge of any programming language
    • Basic understanding of any database, SQL, and query language for databases
    • Working knowledge of Linux or Unix based systems (not mandatory)
    It is recommended to do at least one of the following two courses.  As it provides an excellent foundation for this course.
    • Big Data Hadoop Developer
    • Big Data Hadoop Administrator

  • What do I need to do to unlock my Simplilearn certificate?

    Online Classroom:
    • You need to attend one complete batch.
    • 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%.

Reviews

Nagarjuna D N
Nagarjuna D N System Engineer, Bangalore

Great effort by Simplilearn. I really appreciate it. I didn't get bored of any session like offline trainings, instead it was very interesting. I am a newbie in IT field, so I am excited to learn and start my career in it. Thank you very much.

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Neha Shailendra
Neha Shailendra Freelance Graphic Designer at Institute Of Indian Interior Designers, Bangalore

The MongoDB Dev & Admin from Simplilearn have been excellent. The trainer explained each topic, by elaborating, yet simplifying the content. He made it a point to troubleshoot problems and also made us do the hands-on which helped us realize what the problem might be from a beginners perspective. Overall, it was a great experience.

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Adekunle Umar
Adekunle Umar Big Data Architect at Quantiflow (Pty) Limited, Johannesburg

I had joined Simplilearn's MongoDB Dev & Admin online course. The experience was excellent. The trainer was well organized and the hands-on experiments were enlightening. Thank you Simplilearn team.

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John Matthews
John Matthews Houston

Course content is very good. Topics were covered in depth and were explained with appropriate examples, it definitely helped in understanding MongoDB better!!

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Samir Pandey
Samir Pandey Houston

I recently completed the online session on MongoDB. I am quite impressed with the content and clear explanations, especially on sharding and data modelling.

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Steve Simons
Steve Simons Houston

Good Online training course content with very useful Demos on important topics. Looking forward for similar certification trainings in Big Data.

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FAQs

  • What are the System Requirements?

    Your system needs to fulfil the following requirements:

    • 64-bit Operating System
    • 8GB RAM

  • How will the Labs be conducted?

    We will help you to set up a Virtual Machine with local access. The detailed installation guide is provided in Lesson 2 of the MongoDB Developer & Administrator course.

  • How will you do the projects and get certified?

    Problem statements along with Data points are provided in the Learning Management System.

    On the completion of the course, you have to submit the project which will be evaluated by the trainer. On successful evaluation of the project and completion of the online exam, you will get certified as MongoDB skilled Professional.

  • Who are the trainers?

    Highly qualified and certified instructors with industry relevant experience deliver trainings.

  • What are the modes of training offered for this course?

    We offer this training in the following modes:

    Live Virtual Classroom or Online Classroom: With instructor led online classroom training, you have the option to attend the course remotely from your desktop, laptop via video conferencing. This format saves productivity challenges and decreases your time spent away from work or home.

    Online Self-Learning: In this mode, you will get the lecture videos and you can go through the course as per your comfort level.

  • What if I miss a class?

    We provide the recordings of the class after the session is conducted. So, if you miss a class then you can go through the recordings before the next session.

  • Can I cancel my enrolment? Do I get a refund?

    Yes, you can cancel your enrolment. We provide a complete refund after deducting the administration fee. To know more, please go through our refund policy.

  • What are the payment options?

    Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email.
    • Visa Debit/credit Card
    • American Express and Diners Club Card
    • Master Card
    • PayPal

  • I want to know more about the training program. Whom do I contact?

    Please join our Live Chat for instant support, call us, or Request a Call Back to have your query resolved.

  • Who are our Faculties and how are they selected?

    All our trainers are working professionals and industry experts with at least 10-12 years of relevant teaching experience.

    Each of them have gone through a rigorous selection process which includes profile screening, technical evaluation, and training demo before they are certified to train for us.  

    We also ensure that only those trainers with a high alumni rating continue to train for us.

  • What is Global Teaching Assistance?

    Our teaching assistants are here to help you get certified in your first attempt.

    They are a dedicated team of subject matter experts to help you at every step and enrich your learning experience from class onboarding to project mentoring and job assistance.

    They engage with the students proactively to ensure the course path is followed.

    Teaching Assistance is available during business hours.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls.  

    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.

    Our Kolkata Correspondence / Mailing address

    Simplilearn Solutions Pvt Ltd, RDB Boulevard, 8th Floor, Plot K-1, Sector V, Block EP & GP, Salt Lake City, Kolkata - 700 091, West Bengal, India, Call us at: 1800-102-9602

    • Disclaimer
    • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.