Visão Geral

Nesta aula de treinamento Desenvolvimento com MongoDB, os alunos se tornam proficientes no desenvolvimento com MongoDB usando Java.

Objetivo

Após a conclusão deste curso, você será capaz de:

• Obtenha uma visão geral do cenário "NoSQL"
• Saiba mais sobre a proposta de valor do desenvolvedor MongoDB
• Aprenda a arquitetura do MongoDB
• Saiba como instalar e configurar o MongoDB
• Aprenda administração de sistema essencial
• Aprenda a desenvolver soluções em Java

Publico Alvo

• Faça esta aula de Desenvolvimento com MongoDB se você ou sua equipe quiser aprender MongoDB com ênfase para desenvolvedores e MapReduce.
  

Pre-Requisitos

• É necessária familiaridade com programação Java e uso do ambiente de desenvolvimento Eclipse.
  

Informações Gerais

Carga Horária: 16h

• Se noturno este curso é ministrado de Terça-feira à sexta-feira, das 19h às 23h
• Se aos sábados este curso é ministrado das 9h às 18h
• Se in-company por favor fazer contato para mais detalhes.

Formato de entrega: 

• 100% on-line ao vivo, via Microsoft Teams na presença de um instrutor/consultor ativo no mercado.
• Nota: não é curso gravado. 

Lab:

• Laboratório + Exercícios práticos

Materiais

Conteúdo Programatico

Introduction to MongoDB

1. MongoDB
2. MongoDB Features
3. MongoDB's Logo
4. Positioning of MongoDB
5. MongoDB Applications
6. MongoDB Data Model
7. MongoDB Limitations
8. MongoDB Use Cases
9. MongoDB Query Language (QL)
10. The CRUD Operations
11. The
12. find
13. Method
14. The
15. findOne
16. Method
17. A MongoDB QL Example
18. Data Inserts
19. MongoDB vs Apache CouchDB
20. Summary

MongoDB Data Model

1. The BSON Data Format
2. Database Terminology
3. MongoDB Data Model
4. The _id Primary Key Filed Considerations
5. Indexes
6. (Traditional) Data Modeling in RDBMS
7. Data Modeling in MongoDB
8. An Example of a Data Model in MongoDB
9. MongoDB Data Modeling
10. A Sample JSON Document Matching the Schema
11. To Normalize or Denormalize?
12. MongoDB Limitations
13. Data Lifecycle Management
14. Data Lifecycle Management: TTL
15. Data Lifecycle Management: Capped Collections
16. Summary

MongoDB Architecture

1. MongoDB Nexus Architecture
2. Blending the Best of Both Worlds
3. What Makes MongoDB Fast?
4. Pluggable Storage Engines
5. Data Sharding
6. Sharding in MongoDB
7. Data Replication
8. A Sample Sharded Cluster Diagram
9. GridFS
10. Getting a File from GridFS
11. MongoDB Security
12. Authentication
13. Data and Network Encryption
14. Summary

MongoDB Administration

1. The Admin Shell
2. Getting Help
3. Admin Commands
4. Starting MongoDB
5. The mongod Web UI
6. Running MongoDB .JS Scripts
7. Shell Helper to JavaScript Equivalent Map
8. A MongoDB Script Example
9. Connecting to MongoDB
10. User Authentication
11. Authentication Options
12. Import / Export Operations
13. MongoDB Extended JSON and Strict Mode
14. Examples of Strict Mode Encoding
15. Examples of Data Import / Export
16. The Robo3T (formerly RoboMongo) Tool
17. Robo3T Connections
18. Connection Manager
19. Viewing Databases, Collections and Documents
20. Edit Capabilities
21. Admin Shell
22. Summary

Working with Data in MongoDB

1. Reading Data in MongoDB
2. The Query Interface
3. Query Syntax is Driver-Specific
4. Projections
5. Query and Projection Operators
6. MongoDB Query to SQL Select Comparison
7. Cursors
8. Cursor Expiration
9. Writing Data in MongoDB
10. An Insert Operation Example
11. The Update Operation
12. An Update Operation Example
13. A Remove Operation Example
14. Limiting Return Data
15. Data Sorting
16. Aggregating Data
17. Aggregation Stages
18. Accumulators
19. An Example of an Aggregation Pipe-line
20. Map-Reduce
21. Summary

Indexes in MongoDB

1. Indexes in MongoDB
2. Creating an Index
3. Listing Existing Indexes
4. The Sort Order
5. Using the Explain() Method
6. Main Index Types
7. The _id Field
8. Single and Compound Indexes
9. Multikey Indexes
10. Other Index Types
11. Index Properties
12. Examples of Creating Indexes with Index Properties
13. Summary

Accessing MongoDB from Node.js

1. Getting Started
2. The Connection URL
3. Obtaining a Collection
4. Inserting Documents
5. Updating a Document
6. Querying for Documents
7. Deleting a Document
8. Connection Pooling
9. Summary

MongoDB Java Client

1. Accessing MongoDB from a Java Client
2. The MongoDB Java Driver
3. Using the Synchronous Driver in a Java Application
4. Connecting to MongoDB
5. Connecting to a Standalone Instance
6. Connection Options and the MongoClientURI
7. Using MongoClientURI
8. Connecting to a Replica Set
9. Connecting to a Sharded Cluster
10. Connection Configuration
11. Connecting and Accessing a Collection
12. Create a Collection
13. Insert a Document
14. Update
15. Update Operators
16. Read (Find)
17. Read (Find) Multiple Documents
18. Delete
19. BSON Library
20. Impedance Mismatch
21. Morphia Object Mapper
22. Setup
23. Connecting
24. Mapping
25. Simple Mapping
26. Saving Data
27. Queries
28. Summary

Securing MongoDB

1. Security Overview
2. Your Mileage May Vary
3. Security is Your Responsibility
4. First Things First
5. MongoDB Security
6. A MongoDB Security Checklist
7. Enable Access Control and Enforce Authentication
8. Configure Role-Based Access Control
9. Create an Admin User
10. Create a Database User
11. Enable Authentication
12. Encrypt Communication
13. Encrypt and Protect Data
14. Limit Network Exposure
15. Audit System Activity
16. Run MongoDB with a Dedicated User
17. Run MongoDB with Secure Configuration Options
18. Compliance
19. Summary

MapReduce in MongoDB

1. The Client – Server Processing Pattern
2. Distributed Computing Challenges
3. MapReduce Defined
4. Google's MapReduce
5. MapReduce Phases
6. The Map Phase
7. The Reduce Phase
8. MapReduce Word Count Job
9. MapReduce Shared-Nothing Architecture
10. Similarity with SQL Aggregation Operations
11. Problems Suitable for Solving with MapReduce
12. Typical MapReduce Jobs
13. Fault-tolerance of MapReduce
14. Distributed Computing Economics
15. MapReduce in MongoDB
16. Example - part 1
17. Example - part 2
18. Example – Part 3
19. Example – Part 4
20. Example – Part 5
21. Example – Part 6
22. MapReduce vs Aggregation Pipelines in MongoDB
23. Summary