Drive Team Excellence with Amazon DynamoDB Corporate Training

Empower your teams with expert-led on-site/in-house or virtual/online Amazon DynamoDB Training through Edstellar, a premier Amazon DynamoDB training company for organizations globally. Our customized training program equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific training needs, this Amazon DynamoDB group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

Amazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS). It offers high availability, scalability, and low-latency performance, making it suitable for applications that require fast and predictable performance at any scale. Organizations often adopt Amazon DynamoDB to efficiently store and retrieve large volumes of data, handle unpredictable workloads, and build responsive applications with minimal operational overhead. Training in Amazon DynamoDB provides professionals with the knowledge and skills necessary to effectively design, implement, and manage DynamoDB databases, enabling them to leverage its capabilities for robust and scalable data management solutions.

Edstellar's virtual/onsite Amazon DynamoDB training course offers customization and employs cutting-edge methodologies. Our trainers are known for their expertise in Amazon DynamoDB instructor-led training course and have vast experience guiding teams through the complexities of database management, data analysis, and performance optimization.

Key Skills Employees Gain from Amazon DynamoDB Training

Amazon DynamoDB skills corporate training will enable teams to effectively apply their learnings at work.

  • Database Design
  • Data Modeling
  • Query Optimization
  • DynamoDB Operations
  • Data Partitioning
  • Indexing Strategies

Key Learning Outcomes of Amazon DynamoDB Training Workshop

Edstellar’s Amazon DynamoDB group training will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Amazon DynamoDB workshop, teams will to master essential Amazon DynamoDB and also focus on introducing key concepts and principles related to Amazon DynamoDB at work.


Employees who complete Amazon DynamoDB training will be able to:

  • Design and execute DynamoDB operations using AWS SDKs
  • Utilize DynamoDB features like DAX for in-memory acceleration
  • Define DynamoDB data modeling strategies for diverse use cases
  • Develop efficient DynamoDB queries and data manipulation techniques
  • Implement DynamoDB tables and indexes to optimize query performance
  • Assess and improve DynamoDB performance through monitoring and troubleshooting

Key Benefits of the Amazon DynamoDB Group Training

Attending our Amazon DynamoDB classes tailored for corporations offers numerous advantages. Through our Amazon DynamoDB group training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Amazon DynamoDB.

  • Equips the team with techniques for designing and optimizing DynamoDB databases
  • Instills ideas in professionals for integrating DynamoDB with other AWS services seamlessly
  • Empowers professionals with skills to implement DynamoDB solutions for real-world scenarios
  • Develops required skills in professionals to utilize DynamoDB for high-performance applications
  • Provides professionals with insights into DynamoDB's best practices for scalability and performance optimization

Topics and Outline of Amazon DynamoDB Training

Our virtual and on-premise Amazon DynamoDB training curriculum is divided into multiple modules designed by industry experts. This Amazon DynamoDB training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.

  1. Overview of NoSQL databases
    • Understanding key-value and document databases
    • Scalability and performance in NoSQL
    • When to choose NoSQL over SQL
  2. Introduction to DynamoDB features and benefits
    • High availability and durability of DynamoDB
    • Serverless nature and automatic scaling
    • DynamoDB Streams for real-time data processing
    • Fine-grained access control with AWS IAM
  3. Comparison with traditional SQL databases
    • Schema flexibility in DynamoDB vs. SQL
    • Performance differences at scale
    • Operational complexity and management
  4. Use cases and applications of DynamoDB
    • Building scalable web applications
    • Session storage for large-scale applications
    • Mobile backends using DynamoDB
    • Real-time analytics and big data processing
  1. Creating DynamoDB tables
    • Table creation process in AWS Console
    • Defining table structure and key schema
    • Setting up read/write capacity modes
    • Using AWS CLI to create tables
    • Automation with CloudFormation and Terraform
  2. Configuring primary keys and attributes
    • Understanding partition and sort keys
    • Choosing the right key for your data
    • Attribute types and data modeling considerations
  3. Understanding DynamoDB data types
    • Scalar types: String, Number, Binary
    • Complex types: Lists, Maps
    • Special types: Set types
    • Choosing the right data type for your use case
  1. Introduction to AWS SDKs for DynamoDB
    • Overview of available AWS SDKs
    • Setting up SDKs in various programming languages
    • Basic SDK configuration for DynamoDB
    • Common use cases for the SDK
    • Documentation and resources for learning
  2. Setting up the AWS SDK environment
    • Installing and configuring the AWS SDK
    • Managing credentials securely
    • Environment variables and configuration files
  1. DynamoDB data manipulation operations
    • Inserting data with different SDKs
    • Modifying existing data and understanding write throughput
    • Atomic counters and optimistic locking
  2. Batch operations and transactions
    • Using batch operations for mass data manipulation
    • Understanding transactions and consistency
    • Implementing atomic transactions
    • Error handling and retries in transactions
  3. Conditional writes and updates
    • Syntax and usage of condition expressions
    • Implementing business logic with conditional writes
    • Advanced update techniques
    • Optimizing conditional operations for performance
  1. Querying and scanning DynamoDB tables
    • Difference between query and scan operations
    • Optimizing query performance with indexes
    • Efficiently scanning tables without consuming excessive resources
    • Filtering results to retrieve specific data
    • Paginating results to handle large datasets
  2. Indexes and advanced querying techniques
    • Primary keys vs. secondary indexes
    • Creating and managing global secondary indexes (GSI)
  3. Filtering and pagination in DynamoDB queries
    • Applying filters to narrow down search results
    • Implementing pagination for large result sets
    • Controlling response size and data transfer costs
    • Strategies for effective data retrieval
  4. Using global and local secondary indexes
    • Differences and use cases for GSI and LSI
    • Index creation and impact on table design
    • Querying and scanning using secondary indexes
    • Performance considerations for index use
    • Capacity planning for indexes
  1. Introduction to Amazon DynamoDB Accelerator (DAX)
    • What is DAX, and how does it work
    • Benefits of using DAX for read-intensive applications
    • DAX architecture and components
  2. Implementing DAX with DynamoDB tables
    • Setting up a DAX cluster
    • Configuring applications to use DAX
    • Data caching strategies and invalidation
    • Security considerations with DAX
  3. Configuring and managing DAX clusters
    • Cluster creation and configuration options
    • Scaling DAX clusters based on demand
    • Updating and managing DAX software
    • Best practices for cluster availability and durability
  4. Optimizing performance with DAX caching strategies
    • Understanding DAX caching mechanisms
    • Cache hit ratios and performance tuning
    • Cache eviction policies and their impacts
    • Caching query results with DAX
    • Advanced techniques for cache invalidation and refresh
  1. Strategies for data modeling in DynamoDB
    • Single-table design vs. multi-table designs
    • Data access patterns and their influence on modeling
    • Denormalization and composite keys for performance
  2. Designing efficient DynamoDB schemas
    • Identifying key attributes and indexes early
    • Schema evolution and versioning data
    • Handling sparse indexes and null values
    • Capacity planning and cost estimation
  3. Understanding partition keys and sort keys
    • How do partition keys affect data distribution
    • Choosing partition keys for scalability and performance
    • Using sort keys to organize data within partitions
    • Best practices for composite keys
    • Common mistakes when choosing keys and how to avoid them
  4. Best practices for modeling relationships in DynamoDB
    • Strategies for one-to-many relationships
    • Managing many-to-many relationships efficiently
    • Using secondary indexes to model relationships
  1. DynamoDB monitoring tools and metrics
    • Using Amazon CloudWatch for DynamoDB monitoring
    • Key performance indicators (KPIs) to watch
    • Setting up alarms and notifications
    • Analyzing read/write capacity utilization
    • Log analysis with CloudWatch Logs Insights
  2. CloudWatch alarms and notifications for DynamoDB
    • Configuring alarms for provisioned throughput exceedance
    • Monitoring table size and item count
    • Alerts for unusual access patterns or errors
  1. Integrating with Amazon Cognito for authentication
    • Setting up Amazon Cognito for user management
    • Securing DynamoDB access with Cognito identities
    • Best practices for managing access tokens
    • Implementing fine-grained access control
  2. Utilizing DynamoDB with Amazon Redshift for data warehousing
    • Exporting data from DynamoDB to Redshift
    • ETL processes and data transformation
    • Query performance considerations and optimization
    • Integrating real-time and batch processing
  3. Integrating DynamoDB with Amazon EMR for big data processing
    • Setting up EMR to process DynamoDB data
    • Configuring Hadoop jobs for DynamoDB data
    • Best practices for data mapping and reduction
  4. Storing data from DynamoDB in Amazon S3
    • Automating data export to S3 for backups
    • Using S3 as a data lake for DynamoDB information
    • Implementing lifecycle policies for cost optimization
    • Security and encryption best practices for stored data
    • Integrating with AWS analytics services like Athena and QuickSight
  5. Understanding DynamoDB quotas and limits
    • Overview of provisioned throughput and capacity units
    • Managing read/write capacity to avoid throttling
    • Limits on table size, item size, and request rates
    • Strategies for scaling and partitioning data effectively
  6. Exploring DynamoDB API reference
    • Key API operations for managing data and tables
    • Programming examples for common API calls
    • Error codes and troubleshooting API requests
    • Best practices for efficient API usage

Target Audience for Amazon DynamoDB Training Course

The Amazon DynamoDB training program can also be taken by professionals at various levels in the organization.

  • Database Administrators
  • Data Engineers
  • Cloud Developers
  • Application Developers
  • Back-end Developers
  • Data Architects
  • Software Engineers
  • Database Developers
  • Cloud Architects
  • Data Scientists
  • Full-Stack Developers
  • Managers

Prerequisites for Amazon DynamoDB Training

Professionals with a basic understanding of java programming and query languages can take up the Amazon DynamoDB training course.

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Corporate Group Training Delivery Modes
for Amazon DynamoDB Training

At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

 Virtual trainig

Our virtual group training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations
The consistent training quality ensures uniform learning outcomes
Participants can attend training in their own space without the need for traveling
Organizations can scale learning by accommodating large groups of participants
Interactive tools can be used to enhance learning engagement
 On-site trainig

Edstellar's onsite group training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction
Workplace environment can be tailored to learning requirements
Team collaboration and knowledge sharing improves training effectiveness
Demonstration of processes for hands-on learning and better understanding
Participants can get their doubts clarified and gain valuable insights through direct interaction
 Off-site trainig

Edstellar's off-site group training programs offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement
Team bonding can be improved through activities
Dedicated schedule for training away from office set up can improve learning effectiveness
Boosts employee morale and reflects organization's commitment to employee development

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        Get Your Team Members Recognized with Edstellar’s Course Certificate

        Upon successful completion of the Amazon DynamoDB training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

        This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

        Course Completion Certificate

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