Amazon DynamoDB Training

Introduction to Amazon DynamoDB

Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. This module introduces DynamoDB, covering its core features, architecture, and use cases.

Setting Up Amazon DynamoDB

Learn how to set up and configure Amazon DynamoDB for your applications. This section includes creating tables, configuring settings, and managing indexes. Explore how to integrate DynamoDB with your existing infrastructure.

Data Modeling and Schema Design

Discover how to design effective data models and schemas for DynamoDB. Learn about partition keys, sort keys, and secondary indexes. Explore strategies for designing schemas to meet performance and scalability requirements.

CRUD Operations with DynamoDB

Understand how to perform CRUD (Create, Read, Update, Delete) operations in DynamoDB. Learn about using the DynamoDB API, SDKs, and AWS CLI to manage data. Explore best practices for handling transactions and batch operations.

Querying and Scanning Data

Gain insights into querying and scanning data in DynamoDB. Learn about querying with partition keys, filtering data, and performing scans. Explore how to optimize query performance and manage large datasets.

Managing Indexes and Performance

Learn how to manage indexes and optimize performance in DynamoDB. Explore global secondary indexes, local secondary indexes, and strategies for improving read and write throughput. Understand how to monitor and tune performance.

Security and Access Control

Discover security and access control features in DynamoDB. Learn about IAM roles and policies, encryption, and access control mechanisms. Explore best practices for securing your DynamoDB tables and data.

Integration with Other AWS Services

Explore how to integrate DynamoDB with other AWS services. Learn about using DynamoDB with AWS Lambda, AWS Glue, and Amazon S3. Understand how to leverage these integrations for enhanced functionality and data processing.

Best Practices and Use Cases

Explore best practices for using Amazon DynamoDB effectively. Learn from real-world use cases to understand how DynamoDB is applied in various scenarios. Gain insights into common challenges and effective solutions for NoSQL database management.

Amazon DynamoDB Course Syllabus

1. Introduction to Amazon DynamoDB

  • Overview of DynamoDB as a fully managed NoSQL database service
  • Key features and benefits of DynamoDB
  • Use cases and applications of DynamoDB in modern cloud architectures

2. Data Model in DynamoDB

  • Understanding NoSQL data modeling concepts
  • DynamoDB data types (Scalar types, Document types, Set types)
  • Partition keys, sort keys, and composite primary keys

3. DynamoDB Tables

  • Creating and managing DynamoDB tables
  • Table capacity modes (Provisioned and On-Demand)
  • Managing table settings and indexes

4. DynamoDB Indexes

  • Local Secondary Indexes (LSI) vs. Global Secondary Indexes (GSI)
  • Creating and managing indexes
  • Querying and scanning data using indexes

5. Data Operations

  • Inserting and updating items (PutItem, UpdateItem)
  • Retrieving items (GetItem, BatchGetItem)
  • Deleting items (DeleteItem, BatchDeleteItem)

6. Querying and Scanning

  • Querying data using Query operation
  • Scanning data using Scan operation
  • Filtering and pagination of query results

7. Transactions

  • ACID properties in DynamoDB transactions
  • Implementing transactions using TransactWriteItems and TransactGetItems
  • Handling concurrency and isolation levels

8. Data Modeling Strategies

  • Best practices for designing DynamoDB schemas
  • Optimizing for partition key and sort key selection
  • Denormalization vs. normalization approaches

9. Performance Optimization

  • Capacity planning and provisioning (Read and Write Capacity Units)
  • Auto-scaling and on-demand capacity modes
  • Monitoring and optimizing DynamoDB performance metrics

10. Backup and Restore

  • Backup strategies using On-Demand and Continuous backups
  • Point-in-time recovery (PITR) options
  • Exporting and importing data (AWS Data Pipeline, AWS Glue)

11. Security and Authentication

  • Identity and Access Management (IAM) roles and policies
  • Encryption at rest and in transit (AWS KMS)
  • Fine-grained access control using IAM policies and DynamoDB conditions

12. Global Tables

  • Multi-region replication and global data distribution
  • Configuring and managing Global Tables for high availability
  • Consistency models in Global Tables

13. Integration with Other AWS Services

  • Integrating DynamoDB with AWS Lambda for serverless computing
  • Stream processing with DynamoDB Streams
  • Using DynamoDB with Amazon S3, Amazon EMR, and other services

14. Application Development

  • SDKs and APIs for DynamoDB (AWS SDKs, AWS CLI)
  • Developing applications with DynamoDB (Java, Python, Node.js)
  • Error handling and retries in DynamoDB operations

15. Monitoring and Logging

  • CloudWatch metrics and alarms for DynamoDB
  • Monitoring DynamoDB performance with CloudWatch
  • Logging DynamoDB API calls with AWS CloudTrail

16. Cost Optimization

  • Understanding DynamoDB pricing components
  • Cost-effective strategies for capacity planning
  • Optimizing data storage and access patterns

17. Migration and Modernization

  • Migrating from traditional databases to DynamoDB
  • Modernizing applications with DynamoDB
  • Best practices for database migrations to DynamoDB

18. Compliance and Governance

  • Compliance considerations (GDPR, HIPAA, etc.)
  • Auditing and monitoring DynamoDB access
  • Implementing governance policies and controls

19. Case Studies and Practical Applications

  • Real-world examples of DynamoDB deployments
  • Industry-specific use cases (e-commerce, gaming, IoT)
  • Lessons learned and best practices from case studies

20. Training and Certification

  • AWS certification paths for DynamoDB
  • Training resources and courses for developers and administrators
  • Continuing education and professional development opportunities

Training

Basic Level Training

Duration : 1 Month

Advance Level Training

Duration : 1 Month

Project Level Training

Duration : 1 Month

Total Training Period

Duration : 3 Months

Course Mode :

Available Online / Offline

Course Fees :

Please contact the office for details

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Note

100% Job Assurance Only
Daily online batches for employees
New course batches start every Monday