Visão Geral

Com Curso MongoDB Developer and Administrator, você aprenderá sobre replicação de dados com MongoDB e obterá insights sobre instalação, atualização e manutenção do ambiente MongoDB. 

MongoDB lança luz sobre os tópicos de análise de dados, como: modelagem de dados, ingestão, consulta e fragmentação, replicação de dados com MongoDB junto com a instalação, atualização e manutenção do ambiente MongoDB, o conhecimento sobre todos esses tópicos deixaria os candidatos confiantes para cobrar do trabalhos relacionados à análise de dados e realizá-los com precisão.

Objetivo

• Como desenvolver experiência na escrita de aplicativos Java e Node.JS usando MongoDB
• Como implementar as habilidades de replicação e fragmentação de dados no MongoDB para otimizar o desempenho de leitura/gravação
• Como Realizar a instalação, configuração e manutenção do ambiente MongoDB
• Como desenvolver conjuntos de habilidades que ajudam no processamento de uma grande quantidade de dados usando ferramentas MongoDB
• Como armazenar dados não estruturados no MongoDB
• Como configurar, aplicar os métodos de backup e monitorar e executar estratégias operacionais
• Como implementar a compreensão do gerenciamento de DB Notes, conjunto de réplicas e conceitos Master-Slave

Publico Alvo

• Administradores de banco de dados
• Arquitetos de banco de dados
• Desenvolvedores de software
• Arquitetos de Software
• Gerentes de projeto
• Profissionais de pesquisa
• Profissionais de análise
• Profissionais de banco de dados
• Desenvolvedores de TI
• Testadores
• Administradores de sistema

Materiais

Conteúdo Programatico

An Overview of the Course

1. Introduction to the course
2. Table of Contents
3. Course Objectives
4. Course Overview
5. Value to Professionals and Organizations

MongoDB A Database for the Modern Web

1. MongoDB-A Database for the Modern Web
2. Introduction to MongoDB?
3. JSON
4. JSON Structure
5. BSON
6. MongoDB Structure
7. Document Store Example
8. MongoDB as a Document Database
9. Transaction Management in MongoDB
10. Easy Scaling
11. Scaling Up vs. Scaling Out
12. Vertical Scaling
13. Horizontal Scaling
14. Features of MongoDB
15. Secondary Indexes
16. Replication
17. Memory Management
18. Replica Set
19. Auto Sharding
20. Aggregation and MapReduce
21. Collection and Database
22. Schema Design and Modeling
23. Reference Data Model
24. Reference Data Model Example
25. Embedded Data Model
26. Embedded Data Model Example
27. Data Types
28. Data Types (contd.)
29. Data Types (contd.)
30. Core Servers of MongoDB
31. MongoDB's Tools
32. Installing MongoDB on Linux
33. Installing MongoDB on Windows
34. Starting MongoDB On Linux
35. Starting MongoDB On Windows
36. Use Cases

CRUD Operations in MongoDB

1. CRUD Operations in MongoDB
2. Objectives
3. Data Modification in MongoDB
4. Batch Insert in MongoDB
5. Ordered Bulk Insert
6. Performing Ordered Bulk Insert
7. Unordered Bulk Insert
8. Performing Un-ordered Bulk Insert
9. Inserts: Internals and Implications
10. Performing an Insert Operation
11. Retrieving the documents
12. Specify Equality Condition
13. Retrieving Documents by Find Query
14. $in, $or, and “AND” Conditions
15. $or Operator
16. Specify AND/OR Conditions
17. Retrieving Documents by Using FindOne, AND/OR Conditions
18. Regular Expression
19. Array Exact Match
20. Array Projection Operators
21. Retrieving Documents for Array Fields
22. $Where Query
23. Cursor
24. Retrieving Documents Using Cursor
25. Pagination
26. Pagination: Avoiding Larger Skips
27. Advance query option
28. Update Operation
29. Updating Documents in MongoDB
30. $SET
31. Updating Embedded Documents in MongoDB
32. Updating Multiple Documents in MongoDB
33. $Unset and $inc Modifiers
34. $inc modifier to increment and decrement
35. Replacing Existing Document with New Document
36. $Push and $addToSet
37. Positional Array Modification
38. Adding Elements into Array Fields
39. Adding Elements to Array Fields Using AddToSet
40. Performing AddToSet
41. Upsert
42. Removing Documents
43. Performing Upsert and Remove Operation

Indexing and Aggregation

1. Indexing and Aggregation
2. Objectives
3. Introduction to Indexing
4. Types of Index
5. Properties of Index
6. Single Field Index
7. Single Field Index on Embedded Document
8. Compound Indexes
9. Index Prefixes
10. Sort Order
11. Ensure Indexes Fit RAM
12. Multi-Key Indexes
13. Compound Multi-Key Indexes
14. Hashed Indexes
15. TTL Indexes
16. Unique Indexes
17. Sparse Indexes
18. Demo—Create Compound, Sparse, and Unique Indexes
19. Text Indexes
20. Demo—Create Single Field and Text Index
21. Text Search
22. Index Creation
23. Index Creation on Replica Set
24. Remove Indexes
25. Modify Indexes
26. DemoDrop and Index from a Collection
27. Rebuild Indexes
28. Listing Indexes
29. DemoRetrieve Indexes for a Collection and Database
30. Measure Index Use
31. Demo—Use Mongo Shell Methods to Monitor Indexes
32. Control Index Use
33. Demo—Use the Explain, $Hint and $Natural Operators to Creation
34. Index Use Reporting
35. Geospatial Index
36. DemoCreate Geospatial Index
37. MongoDBs Geospatial Query Operators
38. Demo—Use Geospatial Index in a Query
39. $GeoWith Operator
40. Proximity Queries in MongoDB Aggregation
41. Pipeline Operators and Indexes
42. Aggregate Pipeline Stages
43. The Aggregation Example
44. Demo—Use Aggregate Function
45. MapReduce
46. Demo—Use MapReduce in MongoDB
47. Aggregation Operations
48. Demo—Use Distinct and Count Methods
49. Aggregation Operations (contd.)
50. Demo—Use the Group Function

Replication and Sharding

1. Replication and Sharding
2. Objectives
3. Introduction to Replication
4. Master-Slave Replication
5. Replica Set in MongoDB
6. Automatic Failover
7. Replica Set Members
8. Priority 0 Replica Set Members
9. Hidden Replica Set Members
10. Delayed Replica Set Members
11. Demo—Start a Replica Set
12. Write Concern
13. Write Concern Levels
14. Write Concern for a Replica Set
15. Modify Default Write Concern
16. Read Preference
17. Read Preference Modes
18. Blocking for Replication
19. Tag Set
20. Configure Tag Sets for Replica set
21. Replica Set Deployment Strategies
22. Replica Set Deployment Strategies (contd.)
23. Replica Set Deployment Patterns
24. Oplog File
25. Replication State and Local Database
26. Replication Administration
27. Demo—Check a Replica Set Status
28. Sharding
29. When to Use Sharding?
30. What is a Shard?
31. What is a Shard Key
32. Choosing a Shard Key
33. Ideal Shard Key
34. Range-Based Shard Key
35. Hash-Based Sharding
36. Impact of Shard Keys on Cluster Operation
37. Production Cluster Architecture
38. Config Server Availability
39. Production Cluster Deployment
40. Deploy a Sharded Cluster
41. Add Shards to a Cluster
42. Demo—Create a Sharded Cluster
43. Enable Sharding for Database
44. Enable Sharding for Collection
45. Enable Sharding for Collection (contd.
46. Maintaining a Balanced Data Distribution
47. Splitting
48. Chunk Size
49. Special Chunk Type
50. Shard Balancing
51. Shard Balancing (contd.)
52. Customized Data Distribution with Tag Aware Sharding
53. Tag Aware Sharding
54. Add Shard Tags
55. Remove Shard Tags

Developing Java and Node JS Application with MongoDB

1. Developing Java and Node JS Application with MongoDB Objectives Capped
2. Collection Capped Collection Creation Capped Collection Creation (contd.)
3. Demo—Create a Capped Collection in MongoDB
4. Capped Collection Restriction
5. TTL Collection Features Demo—Create TTL Indexes
6. GridFS GridFS Collection Demo—Create GridFS in MongoDB Java Application
7. MongoDB Drivers and Client Libraries
8. Develop Java Application with MongoDB
9. Connecting to MonogDB from Java Program
10. Create Collection From Java Program
11. Insert Documents From Java Program
12. Insert Documents Using Java Code Example
13. Demo—Insert a Document Using Java
14. Retrieve Documents Using Java Code
15. Demo—Retrieve Document Using Java
16. Update Documents Using Java Code Demo—
17. Update Document Using Java
18. Delete Documents Using Java Code
19. Demo—Delete Document Using Java
20. Store Images Using GridFS API
21. Retrieve Images Using GridFS API
22. Remove Image Using GridFS API
23. Connection Creation Using Node JS
24. Insert Operations Using Node JS
25. Demo—Perform CRUD Operation in Node JS
26. Demo—Perform Insert and Retrieve Operations Using Node JS
27. Update Operations Using Node JS Retrieve
28. Documents Using Node JS
29. Using DB Cursor to Retrieve Documents
30. Mongoose ODM Module in Node JS
31. Defining Schema Using Mongoose
32. Demo—Use Mongoose to Define Schema
33. Demo—How to Run Node JS Using Mongoose

Administration of MongoDB Cluster Operations

1. Administration of MongoDB Cluster Operations
2. Objectives
3. Capped Collection
4. Capped Collection Creation Capped Collection Creation (contd.)
5. Demo-Create a Capped Collection in MongoDB
6. Capped Collection Restriction
7. TTL Collection Features
8. Demo-Create TTL Indexes
9. Grid FS
10. Grid FS Collection
11. Demo-Create GridFS in MongoDB Java Application
12. Memory-Mapped Files
13. Journaling Mechanics
14. Storage Engines MMAPv1 Storage Engine
15. WiredTiger Storage Engine
16. WiredTiger Compression Support
17. Power of 2-Sized Allocations
18. No Padding Allocation Strategy
19. Diagnosing Performance Issues
20. Demo-Monitor Performance in MongoDB
21. Optimization Strategies for MongoDB
22. Configure Tag Sets for Replica Set
23. Optimizing the Query Performance
24. Monitor the Strategies for MongoDB
25. About the MongoDB Utilities
26. The MongoDB Commands
27. About the MongoDB Management service (MMS)
28. Data Backup Strategies in MongoDB
29. Copying Underlying Data Files
30. Backup with MongoDump
31. Fsync and Lock
32. MongoDB Ops Manager Backup Software
33. Security Strategies in MongoDB
34. Authentication Implementation in MongoDB
35. Authentication in a Replica set
36. Authentication on Sharded Clusters
37. Authorization
38. End-to-End Auditing for Compliance