World’s #1 Online Bootcamp

MongoDB Certification Course Overview

The MongoDB certification training in San Francisco makes you job-ready by teaching you to master data modeling, ingestion, query, and data replication with MongoDB, plus installing, updating, and maintaining the MongoDB environment. You’ll also get proficient in MongoDB configuration and backup methods, and monitoring and operational strategies.

MongoDB Training Key Features

100% Money Back Guarantee
No questions asked refund*

At Simplilearn, we value the trust of our patrons immensely. But, if you feel that this MongoDB course does not meet your expectations, we offer a 7-day money-back guarantee. Just send us a refund request via email within 7 days of purchase and we will refund 100% of your payment, no questions asked!
  • 8X higher live interaction in live online classes by industry experts
  • 3 industry-based projects in e-learning and telecom domains
  • 6 hands-on lab exercises to be executed in a virtual machine
  • 60 demos explaining key concepts

Skills Covered

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

Benefits

MongoDB has gained popularity in the face of growing demand for data-centric web applications in fields like financial services, social media, and healthcare. Also, MongoDB services have greater acceptance from the top 500 organizations worldwide, a good reason to take MongoDB certification training in San Francisco.

  • Designation
  • Annual Salary
  • Hiring Companies
  • Big Data Architect
    Annual Salary
    $93KMin
    $124KAverage
    $165KMax
    Source: Glassdoor
    Hiring Companies
    Amazon hiring for Big Data Architect professionals in San Francisco
    Hewlett-Packard hiring for Big Data Architect professionals in San Francisco
    Wipro hiring for Big Data Architect professionals in San Francisco
    Cognizant hiring for Big Data Architect professionals in San Francisco
    Spotify hiring for Big Data Architect professionals in San Francisco
    Source: Indeed
  • Big Data Engineer
    Annual Salary
    $81KMin
    $117KAverage
    $160KMax
    Source: Glassdoor
    Hiring Companies
    Amazon hiring for Big Data Engineer professionals in San Francisco
    Hewlett-Packard hiring for Big Data Engineer professionals in San Francisco
    Facebook hiring for Big Data Engineer professionals in San Francisco
    KPMG hiring for Big Data Engineer professionals in San Francisco
    Verizon hiring for Big Data Engineer professionals in San Francisco
    Source: Indeed
  • Big Data Developer
    Annual Salary
    $58KMin
    $88.5KAverage
    $128KMax
    Source: Glassdoor
    Hiring Companies
    Cisco hiring for Big Data Developer professionals in San Francisco
    Target Corp hiring for Big Data Developer professionals in San Francisco
    GE hiring for Big Data Developer professionals in San Francisco
    IBM hiring for Big Data Developer professionals in San Francisco
    Source: Indeed

Training Options

Self-Paced Learning

$ 899

  • 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

$ 999

  • 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 in San Francisco from:-
8th Jul: Weekend Class
Show all classes

Corporate Training

Customized to your team's 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 training in San Francisco is perfect for professionals looking for a career in NoSQL databases and MongoDB. This includes database professionals, project managers, database administrators, IT developers, database architects, software developers, software architects, testers, analytics professionals, research professionals, and system administrators.
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Pre-requisites

Those wishing to take the MongoDB certification training in San Francisco should possess a basic knowledge of any existing programming language as well as any SQL, database, and query language for databases. This MongoDB certification course in San Francisco also helps to have working knowledge of Linux based systems. As a means of getting ready, we recommend you take either the Big Data Hadoop Developer or Big Data Hadoop Administrator course.
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Course Content

  • MongoDB Developer and Administrator

    Preview

    • Lesson 0 - Course Introduction

      03:49Preview
      • 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

      31:44Preview
      • 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

      49:33Preview
      • 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 MongoDB
        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

      01:03:47Preview
      • 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

      01:14:15Preview
      • 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

      01:14:51Preview
      • 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

      47:02Preview
      • 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

      44:20Preview
      • 7.001 Administration of MongoDB Cluster Operations
        00:17
      • 7.002 Objectives
        00:28
      • 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

Contact Us

1-844-532-7688

( Toll Free )

Projects

  • Project 1

    ELearning Industry

    Design a Web application for an e-learning organization using MongoDB to support read and write scalability using web technologies such as HTML, JavaScript (JSP), Servlet, and Java.

  • Project 2

    Telecom Industry

    Using Mongo DB for Call Data and Analysis, help a telecom company scale their database to store 15 years of calling data of its users in compliance with new government regulations.

  • Project 3

    Training Center

    Help a corporate training provider deal with a huge amount of data as it plans to share a performance analysis report with its clients.

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MongoDB Exam & Certification

MongoDB Developer and Administrator Certificate in San Francisco

  • How do I become a MongoDB Developer?

    The MongoDB certification training in San Francisco teaches you the concepts of MongoDB development services, which happens to be the most popular NoSQL database, to handle increasing data storage demands and data modeling. You will also learn ingestion, querying, sharding, and data replication with MongoDB, as well as installing, updating, and maintaining the MongoDB environment. MongoDB certification course in San Francisco trains you on MongoDB’s configuration and backup methods in addition to monitoring and operational strategies. The MongoDB course completion certification from Simplilearn attests to your new skills and on-the-job experience to help you become a MongoDB Developer.

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

    Online Classroom:

    • You need to attend one complete batch of the MongoDB certification training in San Francisco
    • You must complete one project and one simulation test with a minimum score of 60%

    Online Self-Learning:

    • You must complete 85% of the MongoDB Certification Training in San Francisco
    • You must complete one project and one simulation test with a score of 60% minimum

  • Who provides the certificate and how long is it valid for?

    When you successfully complete the MongoDB certification training in San Francisco, Simplilearn will issue you an industry-recognized course completion certificate. The certificate has lifelong validity.

  • What is the duration of the MongoDB Developer certification exam?

    Candidates in this MongoDB certification course in San Francisco get 90 minutes to finish the exam.

  • What is the MongoDB Developer certification exam’s format?

    Students in the MongoDB certification training in San Francisco take the exam, which consists of multiple choice questions, online.

  • Do you provide any practice tests as part of this course?

    Yes, we provide one practice test as part of the MongoDB Certification Training in San Francisco to help you prepare for the real certification exam. Try this Free MongoDB Developer Exam Practice Test and familiarize yourself with the kinds of tests found in the course curriculum.

  • What certificate do I get after I pass the MongoDB Developer certification exam?

    Candidates get the MongoDB Developer certificate in pdf format, plus a license number and a digital badge that verifies the certificate.

  • How long it will take to get the results after completing the MongoDB Developer certification exam?

    The results are posted within a week of taking the MongoDB Developer certification exam.

  • What is the cost of the MongoDB certification exam?

    The cost of the MongoDB certification exam is $150.

MongoDB Course Reviews

  • 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.

  • 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.

  • 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!!

  • 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.

  • Ravikant Mane

    Ravikant Mane

    Bangalore

    Ameet, I appreciate your patience and efforts in explaining topics multiple times. You always ensure that each participant in your class understands the concepts, no matter how many times you need to explain them. You also shared great real-life examples. Thank you for your efforts.

  • Permoon Ansari

    Permoon Ansari

    Bangalore

    Gautam has been a great trainer throughout the session. He took ample time to explain the course content and ensured that the class understands the concepts. He's undoubtedly one of the best in the industry. I'm delighted to have attended his sessions.

  • Tejaswini Gadekar

    Tejaswini Gadekar

    Bangalore

    It was an amazing learning experience. Simplilearn is very innovative and unique. The simulation tests and self-learning materials are extremely useful.

  • Santosh Reddy

    Santosh Reddy

    Bangalore

    Simplilearn is a great learning place for both beginners and working professionals. It provides a detailed explanation for every topic. The trainer was accommodating and informative. Not only did he teach the course, but also gave much insight into current market trends. I highly recommend it to you.

  • 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.

  • 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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Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

MongoDB Training FAQs

  • Why should you take this MongoDB certification course?

    The MongoDB certification training in San Francisco is designed to give you an in-depth knowledge of the NoSQL Database, MongoDB Architecture, CRUD, Schema Design, data modeling, ingestion, query, sharding, and data replication and more.

     

    This MongoDB Developer and Administrator certification would equip you to master the skills to become a MongoDB experienced professionals.
    By going through this MongoDB training you would become job ready by mastering data modeling, ingestion, query and Sharding, Data Replication with MongoDB along with installing, updating, and maintaining MongoDB environment.

     

    As a part of the MongoDB certification training in San Francisco, you will be required to execute real-life, industry-based projects using CloudLab in the domains of banking, telecommunication, social media, insurance, and e-commerce. This MongoDB certification course will prepare you for the MongoDB Certified Developer (C100DEV) and MongoDB Certified DBA (C100DBA) Associate Level certification exams.

  • What will you learn in this MongoDB training in San Francisco?

    At the end of Simplilearn’s training in San Francisco on MongoDB certification course, you will be able to:

    • Develop an expertise in writing Java and NodeJS 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 take this MongoDB certification training in San Francisco?

    The MongoDB certification training in San Francisco 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-based interface that 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 an analysis report with its clients. This report will help their clients know the employees who have completed the 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 a huge amount of data to deal with. They have hired you as an expert and want your help to solve this problem.

  • 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 certification 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 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.

  • Is this live training, or will I watch pre-recorded videos?

    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.

  • What if I miss a class?

    Simplilearn provides recordings of each MongoDB classes so you can review them as needed before the next session. With Flexi-pass, Simplilearn gives you access to all classes for 90 days so that you have the flexibility to choose sessions as per your convenience.

  • Who are the instructors and how are they selected?

    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.

  • What is Global Teaching Assistance?

    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.

  • What is online classroom training?

    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.

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

    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.

  • How do I enroll in this MongoDB certification training?

    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.

  • If I need to cancel my enrollment, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administrative fee. To learn more, please read our Refund Policy.

  • Whom should I contact to learn more about this MongoDB course?

    Please contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

  • What is the salary of a Business and Leadership Professional in San Francisco?

    A Business and Leadership Professional in San Francisco gets an average of $81,827 / year. The average total compensation of $71,832/ year is what you’ll get with 1 year of experience. You can get more than an average of $110,538/ year with 10 years of experience and if you’ve PGP Business Analysis Certification San Francisco.

  • What are the major companies hiring for Business and Leadership Professionals in San Francisco?

    Some top companies in San Francisco such as Sephora, Golden Gate University, SquareTrade, STAT Revenue, Deloitte, Intone Networks, Turo hires Business and Leadership Professionals. To work with such companies, you must have relevant knowledge and experience along with PGP Business Analysis Certification San Francisco.

  • What are the major industries in San Francisco?

    There are many industries in San Francisco that need Business and Leadership Professionals. Industries such as Market research, Data mining, Enterprise architecture, Business process management, Software development, Capital market, Information security hires candidates with PGP Business Analysis Certification San Francisco to provide job in a good company.

  • How to become a Business and Leadership Professional in San Francisco?

    There is no minimum requirement for how much work experience you should have to be a Business and Leadership Professional. You can get a PGP Business Analysis Certification San Francisco along with being a graduate in a related field with professional work experience from a good company.

  • How to find Business and Leadership courses in San Francisco?

    One can find several institutes online providing a course in the field of business and leadership. You can also choose an institute near you that provides PGP Business Analysis Certification San Francisco and you can easily find a job in any field. Make sure to choose only an authorized institute.

  • What is the salary of a Big Data Expert in San Francisco?

    The average salary of a Big Data Expert in San Francisco is $123,859/ year. A Big Data Expert with experience of 10 years and who has MongoDB Certification San Francisco can get an average of $151,993/year to $167,500/year.

  • What are the major companies hiring for Big Data Experts in San Francisco?

    Some of the top companies like MasterCard, Twitch, Square, FocusKPI Inc., Progrexion, Volta Charging, Grid Dynamics are hiring for Big Data Experts in San Francisco. To work with such companies, you need to prepare accordingly. It would be helpful to get a MongoDB Certification San Francisco.

  • What are the major industries in San Francisco?

    Some of the major industries that hire Big Data Experts in San Francisco are Manufacturing, Software, tourism, and logistics. A demanded course in database management is MongoDB Certification San Francisco and the IT sector requires certified professionals for smooth working.

  • How to become a Big Data Expert in San Francisco?

    Getting a MongoDB Certification San Francisco makes it easy to become a Big Data Expert. You can get the required educational qualification such as a bachelor’s or a master’s degree and additional certification courses to be eligible for this profession.

  • How to find Big Data courses in San Francisco?

    There are many reputed universities and colleges in San Francisco preferred by international students that provide degree programs and certification courses in big data along with MongoDB Certification San Francisco. Some online institutes also offer popular extensive data courses and degree programs and separate certifications.

  • What is MongoDB?

    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.

  • How do beginners learn MongoDB?

    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.

  • What is the recommended learning path after completing MongoDB certification course?

    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 Professional Certificate Program in Data Engineering.

MongoDB Certification Training Course in San Francisco Bay Area

The Gross domestic product (GDP) estimation of San Francisco is about $203.5 billion in 2019. It is the 2nd highest population density city in the United States. The climate of San Francisco is the Mediterranean. The maximum temperature in summer goes up to 67 degrees and the minimum temperature in the month of January goes down to 46 degrees only. The city gets 25 inches of rain per year. Founded on June 29, 1776, San Francisco is the most expensive city to buy a home. The city is extremely safe, but being an expensive city very poor with a huge homeless population. Several cultural and educational institutions are available in the city that makes it perfect to get MongoDB Certification San Francisco.

You can enjoy some famous food in San Francisco such as Seafood at Fisherman's Wharf, Mission Burrito in the Mission District, Sourdough Bread from Boudin Sourdough, Anchor Steam Beer, Irish Coffee from Buena Vista Café. People come to the city to earn MongoDB Certification San Francisco to get a Big Data job. Some places you can visit while you’re in the city are:

Our San Francisco Correspondence / Mailing address

Simplilearn's MongoDB Certification Training Course in San Francisco Bay Area

201 Spear Street, Suite 1100 San Francisco, CA 94105 United States

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