MongoDB Developer and Administrator Certification Training

Course preview

MongoDB Developer and Administrator

Lesson 0 - Course Introduction 04:08

0.1 Course Introduction 00:20

0.2 Table of Contents 00:36

0.3 Objectives 00:44

0.4 Course Overview 00:54

0.5 Value to Professionals and Organizations 01:00

0.6 Course Prerequisites 00:18

0.7 Lessons Covered 00:07

0.8 Conclusion 00:09

Lesson 1 - Introduction to NoSQL databases 31:58

1.1 NoSQL Database Introduction 00:16

1.2 Objectives 00:35

1.3 What is NoSQL? 01:02

1.4 What is NoSQL?(contd.) 00:27

1.5 Why NoSQL? 01:30

1.6 Difference Between RDBMS and NoSQL Databases 02:22

1.7 Benefits of NoSQL 04:42

1.8 Benefits of NoSQL (contd.) 04:07

1.9 Types of NoSQL 01:31

1.10 Key-Value Database 01:31

1.11 Key-Value Database (contd.) 01:29

1.12 Document Database 00:51

1.13 Document Database Example 00:55

1.14 Column-Based Database 00:53

1.15 Column-Based Database (contd.) 01:05

1.16 Column-Based Database (contd.) 00:24

1.17 Column-Based Database Example 00:21

1.18 Graph Database 01:11

1.19 Graph Database (contd.) 01:12

1.20 CAP Theorem 00:29

1.21 CAP Theorem (contd.) 01:05

1.22 Consistency 00:49

1.23 Availability 00:27

1.24 Partition Tolerance 00:58

1.25 Mongo DB as Per CAP 00:50

1.26 Quiz

1.27 Summary 00:45

1.28 Conclusion 00:11

Lesson 2 - MongoDB A Database for the Modern Web 49:54

2.1 MongoDB-A Database for the Modern Web 00:19

2.2 Objectives 00:41

2.3 What is MongoDB? 01:12

2.4 JSON 00:50

2.5 JSON Structure 01:23

2.6 BSON 01:26

2.7 MongoDB Structure 01:26

2.8 Document Store Example 00:34

2.9 MongoDB as a Document Database 01:34

2.10 Transaction Management in MongoDB 00:34

2.11 Easy Scaling 00:51

2.12 Scaling Up vs. Scaling Out 00:50

2.13 Vertical Scaling 00:50

2.14 Horizontal Scaling 01:31

2.15 Features of MongoDB 01:43

2.16 Secondary Indexes 00:40

2.17 Replication 00:58

2.18 Replication (contd.) 00:22

2.19 Memory Management 00:44

2.20 Replica Set 00:49

2.21 Auto Sharding 00:57

2.22 Aggregation and MapReduce 01:11

2.23 Collection and Database 01:02

2.24 Schema Design and Modeling 00:47

2.25 Reference Data Model 01:17

2.26 Reference Data Model Example 00:44

2.27 Embedded Data Model 01:09

2.28 Embedded Data Model Example 00:29

2.29 Data Types 01:25

2.30 Data Types (contd.) 02:04

2.31 Data Types (contd.) 01:03

2.32 Core Servers of MongoDB 01:28

2.33 MongoDB's Tools 02:57

2.34 Installing MongoDB on Linux 00:06

2.35 Installing MongoDB on Linux 03:02

2.36 Installing MongoDB on Windows 00:06

2.37 Installing MongoDB on Windows 01:22

2.38 Starting MongoDB On Linux 00:05

2.39 Starting MongoDB On Linux 01:25

2.40 Starting MongoDB On Windows 00:05

2.41 Starting MongoDB On Windows 01:39

2.42 Use Cases 02:41

2.43 Use Cases (contd.) 02:28

2.44 Quiz

2.45 Summary 00:53

2.46 Conclusion 00:12

Lesson 3 - CRUD Operations in MongoDB 1:04:16

3.1 CRUD Operations in MongoDB 00:23

3.2 Objectives 01:08

3.3 Data Modification in MongoDB 00:52

3.4 Batch Insert in MongoDB 01:45

3.5 Ordered Bulk Insert 01:50

3.6 Performing Ordered Bulk Insert 00:07

3.7 Performing Ordered Bulk Insert 01:58

3.8 Unordered Bulk Insert 01:09

3.9 Performing Un-ordered Bulk Insert 00:07

3.10 Performing Un-ordered Bulk Insert 01:58

3.11 Inserts: Internals and Implications 01:14

3.12 Performing an Insert Operation 00:07

3.13 Performing an Insert Operation 01:51

3.14 Retrieving the documents 00:48

3.15 Specify Equality Condition 01:33

3.16 Retrieving Documents by Find Query 00:08

3.17 Retrieving Documents by Find Query 01:12

3.18 $in, $or , and “AND” Conditions 01:20

3.19 $or Operator 00:47

3.20 Specify AND/OR Conditions 01:06

3.21 Retrieving Documents by Using FindOne, AND/OR Conditions 00:09

3.22 Retrieving Documents by Using FindOne, AND/OR Conditions 01:49

3.23 Regular Expression 00:47

3.24 Array Exact Match 00:45

3.25 Array Projection Operators 00:48

3.26 Retrieving Documents for Array Fields 00:06

3.27 Retrieving Documents for Array Fields 01:53

3.28 $Where Query 01:14

3.29 Cursor 01:52

3.30 Cursor (contd.) 01:50

3.31 Cursor (contd.) 01:50

3.32 Retrieving Documents Using Cursor 00:07

3.33 Retrieving Documents Using Cursor 02:49

3.34 Pagination 00:48

3.35 Pagination: Avoiding Larger Skips 00:49

3.36 Advance query option 01:18

3.37 Update Operation 01:02

3.38 Updating Documents in MongoDB 00:06

3.39 Updating Documents in MongoDB 01:23

3.40 $SET 01:39

3.41 Updating Embedded Documents in MongoDB 00:07

3.42 Updating Embedded Documents in MongoDB 01:06

3.43 Updating Multiple Documents in MongoDB 00:06

3.44 Updating Multiple Documents in MongoDB 01:31

3.45 $Unset and $inc Modifiers 01:02

3.46 $inc modifier to increment and decrement 00:06

3.47 $inc modifier to increment and decrement 01:31

3.48 Replacing Existing Document with New Document 00:08

3.49 Replacing Existing Document with New Document 01:14

3.50 $Push and $addToSet 00:43

3.51 Positional Array Modification 01:27

3.52 Adding Elements into Array Fields 00:07

3.53 Adding Elements into Array Fields 01:46

3.54 Adding Elements to Array Fields Using AddToSet 00:10

3.55 Adding Elements to Array Fields Using AddToSet 01:13

3.56 Performing AddToSet 00:11

3.57 Performing AddToSet 00:49

3.58 Upsert 01:22

3.59 Removing Documents 01:16

3.60 Performing Upsert and Remove Operation 01:22

3.61 Performing Upsert and Remove Operation 01:22

3.62 Quiz

3.63 Summary 00:58

3.64 Conclusion 00:12

Lesson 4 - Indexing and Aggregation 1:12:13

4.1 Indexing and Aggregation 00:22

4.2 Objectives 00:51

4.3 Introduction to Indexing 01:07

4.4 Types of Index 01:49

4.5 Properties of Index 01:13

4.6 Single Field Index 00:41

4.7 Single Field Index on Embedded Document 00:37

4.8 Compound Indexes 00:57

4.9 Index Prefixes 01:02

4.10 Sort Order 01:07

4.11 Ensure Indexes Fit RAM 00:46

4.12 Multi-Key Indexes 00:44

4.13 Compound Multi-Key Indexes 00:45

4.14 Hashed Indexes 01:02

4.15 TTL Indexes 01:41

4.16 Unique Indexes 01:16

4.17 Sparse Indexes 01:24

4.18 Demo—Create Compound, Sparse, and Unique Indexes 00:08

4.19 Demo-Create Compound, Sparse, and Unique Indexes 01:52

4.20 Text Indexes 01:19

4.21 Demo—Create Single Field and Text Index 00:07

4.22 Demo—Create Single Field and Text Index 01:53

4.23 Text Search 01:29

4.24 Index Creation 00:57

4.25 Index Creation (contd.) 01:35

4.26 Index Creation on Replica Set 01:34

4.27 Remove Indexes 00:37

4.28 Modify Indexes 00:54

4.29 Demo—Drop and Index from a Collection 00:05

4.30 Demo—Drop and Index from a Collection 01:25

4.31 Rebuild Indexes 01:07

4.32 Listing Indexes 00:37

4.33 Demo—Retrieve Indexes for a Collection and Database 00:07

4.34 Demo—Retrieve Indexes for a Collection and Database 01:29

4.35 Measure Index Use 00:44

4.36 Demo—Use Mongo Shell Methods to Monitor Indexes 00:08

4.37 Demo—Use Mongo Shell Methods to Monitor Indexes 01:59

4.38 Control Index Use 01:08

4.39 Demo—Use the Explain, $Hint and $Natural Operators to Create Index 00:08

4.40 Demo—Use the Explain, $Hint and $Natural Operators to Create Index 03:34

4.41 Index Use Reporting 01:50

4.42 Geospatial Index 01:22

4.43 Demo—Create Geospatial Index 00:07

4.44 Demo—Create Geospatial Index 02:20

4.45 MongoDBÂ’s Geospatial Query Operators 01:08

4.46 Demo—Use Geospatial Index in a Query 00:08

4.47 Demo—Use Geospatial Index in a Query 01:21

4.48 $GeoWith Operator 00:33

4.49 Proximity Queries in MongoDB 00:46

4.50 Aggregation 01:35

4.51 Aggregation (contd.) 00:39

4.52 Pipeline Operators and Indexes 01:02

4.53 Aggregate Pipeline Stages 01:44

4.54 Aggregate Pipeline Stages (contd.) 01:09

4.55 Aggregation Example 01:16

4.56 Demo—Use Aggregate Function 00:06

4.57 Demo—Use Aggregate Function 00:55

4.58 MapReduce 00:51

4.59 MapReduce (contd.) 01:14

4.60 MapReduce (contd.) 00:57

4.61 Demo—Use MapReduce in MongoDB 00:06

4.62 Demo—Use MapReduce in MongoDB 02:36

4.63 Aggregation Operations 01:26

4.64 Demo—Use Distinct and Count Methods 00:07

4.65 Demo—Use Distinct and Count Methods 02:26

4.66 Aggregation Operations (contd.) 00:39

4.67 Demo—Use the Group Function 00:05

4.68 Demo—Use the Group Function 00:05

4.69 Quiz

4.70 Summary 01:08

4.71 Conclusion 00:12

Lesson 5 - Replication and Sharding 1:15:32

5.1 Replication and Sharding 00:23

5.2 Objectives 00:47

5.3 Introduction to Replication 01:21

5.4 Master-Slave Replication 00:40

5.5 Replica Set in MongoDB 01:46

5.6 Replica Set in MongoDB (contd.) 01:02

5.7 Automatic Failover 00:54

5.8 Replica Set Members 01:02

5.9 Priority 0 Replica Set Members 01:12

5.10 Hidden Replica Set Members 01:05

5.11 Delayed Replica Set Members 01:08

5.12 Delayed Replica Set Members (contd.) 00:57

5.13 Demo—Start a Replica Set 00:06

5.14 Demo-Start a Replica Set 02:44

5.15 Write Concern 01:37

5.16 Write Concern (contd.) 00:52

5.17 Write Concern Levels 01:26

5.18 Write Concern for a Replica Set 01:09

5.19 Modify Default Write Concern 00:58

5.20 Read Preference 01:03

5.21 Read Preference Modes 01:03

5.22 Blocking for Replication 01:30

5.23 Tag Set 01:26

5.24 Configure Tag Sets for Replica set 02:14

5.25 Replica Set Deployment Strategies 01:55

5.26 Replica Set Deployment Strategies (contd.) 01:41

5.27 Replica Set Deployment Patterns 00:41

5.28 Oplog File 01:30

5.29 Replication State and Local Database 01:00

5.30 Replication Administration 01:24

5.31 Demo—Check a Replica Set Status 00:08

5.32 Demo—Check a Replica Set Status 02:23

5.33 Sharding 01:50

5.34 When to Use Sharding? 01:13

5.35 What is a Shard? 01:01

5.36 What is a Shard Key 00:56

5.37 Choosing a Shard Key 00:28

5.38 Ideal Shard Key 01:30

5.39 Range-Based Shard Key 01:20

5.40 Hash-Based Sharding 00:57

5.41 Impact of Shard Keys on Cluster Operation 01:49

5.42 Production Cluster Architecture 01:43

5.43 Config Server Availability 01:11

5.44 Production Cluster Deployment 01:32

5.45 Deploy a Sharded Cluster 01:34

5.46 Add Shards to a Cluster 01:33

5.47 Demo—Create a Sharded Cluster 00:06

5.48 Demo—Create a Sharded Cluster 03:02

5.49 Enable Sharding for Database 01:06

5.50 Enable Sharding for Collection 00:53

5.51 Enable Sharding for Collection (contd.) 00:37

5.52 Maintaining a Balanced Data Distribution 00:35

5.53 Splitting 00:41

5.54 Chunk Size 01:31

5.55 Special Chunk Type 00:57

5.56 Shard Balancing 02:09

5.57 Shard Balancing (contd.) 00:48

5.58 Customized Data Distribution with Tag Aware Sharding 00:36

5.59 Tag Aware Sharding 00:39

5.60 Add Shard Tags 01:29

5.61 Remove Shard Tags 01:13

5.62 Quiz

5.63 Summary 01:16

5.64 Conclusion 00:10

Lesson 6 - Developing Java and Node JS Application with MongoDB 34:05

6.1 Developing Java and Node JS Application with MongoDB 00:18

6.2 Objectives 00:39

6.3 Capped Collection 01:15

6.4 Capped Collection Creation 00:57

6.5 Capped Collection Creation (contd.) 00:53

6.6 Demo—Create a Capped Collection in MongoDB 00:06

6.7 Demo—Create a Capped Collection in MongoDB 01:56

6.8 Capped Collection Restriction 01:12

6.9 TTL Collection Features 00:58

6.10 Demo—Create TTL Indexes 00:06

6.11 Demo—Create TTL Indexes 02:14

6.12 GridFS 01:03

6.13 GridFS Collection 01:43

6.14 Demo—Create GridFS in MongoDB Java Application 00:07

6.15 Demo—Create GridFS in MongoDB Java Application 02:36

6.16 MongoDB Drivers and Client Libraries 00:31

6.17 Develop Java Application with MongoDB 00:56

6.18 Connecting to MonogDB from Java Program 00:50

6.19 Create Collection From Java Program 00:45

6.20 Insert Documents From Java Program 00:40

6.21 Insert Documents Using Java Code Example 00:42

6.22 Demo—Insert a Document Using Java 00:05

6.23 Demo—Insert a Document Using Java 00:05

6.24 Retrieve Documents Using Java Code 00:30

6.25 Demo—Retrieve Document Using Java 00:05

6.26 Demo—Retrieve Document Using Java 00:05

6.27 Update Documents Using Java Code 00:30

6.28 Demo—Update Document Using Java 00:05

6.29 Demo—Update Document Using Java 00:05

6.30 Delete Documents Using Java Code 00:24

6.31 Demo—Delete Document Using Java 00:06

6.32 Demo—Delete Document Using Java 00:06

6.33 Store Images Using GridFS API 00:57

6.34 Retrieve Images Using GridFS API 00:35

6.35 Remove Image Using GridFS API 00:14

6.36 Remove Image Using GridFS API (contd..) 00:49

6.37 Connection Creation Using Node JS 01:03

6.38 Insert Operations Using Node JS 00:49

6.39 Insert Operations Using Node JS (contd.) 01:02

6.40 Demo—Perform CRUD Operation in Node JS 00:05

6.41 Demo—Perform CRUD Operation in Node JS 00:05

6.42 Demo—Perform Insert and Retrieve Operations Using Node JS 00:06

6.43 Demo—Perform Insert and Retrieve Operations Using Node JS 00:06

6.44 Update Operations Using Node JS 00:19

6.45 Retrieve Documents Using Node JS 00:41

6.46 Using DB Cursor to Retrieve Documents 00:26

6.47 Mongoose ODM Module in Node JS 00:40

6.48 Defining Schema Using Mongoose 00:50

6.49 Defining Schema Using Mongoose (contd.) 00:58

6.50 Demo—Use Mongoose to Define Schema 00:08

6.51 Demo—Use Mongoose to Define Schema 00:08

6.52 Demo—How to Run Node JS Using Mongoose 00:09

6.53 Demo—How to Run Node JS Using Mongoose 00:09

6.54 Quiz

6.55 Summary 01:03

6.56 Conclusion 00:10

Lesson 7 - Administration of MongoDB Cluster Operations 59:43

7.1 Administration of MongoDB Cluster Operations 00:18

7.2 Objectives 00:28

7.3 Capped Collection 01:15

7.4 Capped Collection Creation 00:57

7.5 Capped Collection Creation (contd.) 00:53

7.6 Demo-Create a Capped Collection in MongoDB 00:05

7.7 Demo-Create a Capped Collection in MongoDB 01:56

7.8 Capped Collection Restriction 01:12

7.9 TTL Collection Features 00:58

7.10 Demo-Create TTL Indexes 00:06

7.11 Demo-Create TTL Indexes 02:15

7.12 GridFS 01:03

7.13 GridFS Collection 01:43

7.14 Demo-Create GridFS in MongoDB Java Application 00:07

7.15 Demo-Create GridFS in MongoDB Java Application 02:36

7.16 Memory-Mapped Files 01:18

7.17 Journaling Mechanics 01:26

7.18 Storage Engines 00:36

7.19 MMAPv1 Storage Engine 00:49

7.20 WiredTiger Storage Engine 01:48

7.21 WiredTiger Compression Support 00:57

7.22 Power of 2-Sized Allocations 01:15

7.23 No Padding Allocation Strategy 00:40

7.24 Diagnosing Performance Issues 00:58

7.25 Diagnosing Performance Issues (contd.) 02:07

7.26 Diagnosing Performance Issues (contd.) 02:29

7.27 Demo-Monitor Performance in MongoDB 00:05

7.28 Demo-Monitor Performance in MongoDB 02:05

7.29 Optimization Strategies for MongoDB 01:43

7.30 Configure Tag Sets for Replica Set 00:49

7.31 Optimize Query Performance 02:08

7.32 Monitoring Strategies for MongoDB 00:49

7.33 MongoDB Utilities 01:33

7.34 MongoDB Commands 02:26

7.35 MongoDB Management service (MMS) 00:27

7.36 Data Backup Strategies in MongoDB 00:28

7.37 Copying Underlying Data Files 02:00

7.38 Backup with MongoDump 01:59

7.39 Fsync and Lock 01:50

7.40 MongoDB Ops Manager Backup Software 00:46

7.41 Security Strategies in MongoDB 01:33

7.42 Authentication Implementation in MongoDB 01:55

7.43 Authentication in a Replica set 01:06

7.44 Authentication on Sharded Clusters 01:30

7.45 Authorization 02:12

7.46 End-to-End Auditing for Compliance 00:46

7.47 Quiz

7.48 Summary 01:08

7.49 Conclusion 00:10