Exploring Amazon DynamoDB Table Operations

This guide provides a comprehensive overview of Amazon DynamoDB table operations.

Hafeez Baig
18 steps
2 minutes

Amazon Web Services

Refer to the following guide to learn how to use IAM in the cloud\ <https://scribehow.com/shared/Creating_an_IAM_User_and_User_Group_in_AWS_Management_Console__hWNiiXlcRJKFqYZZEJD-cg>

Sign in to **AWS Management Console** as an **IAM User** **Pre-requisite** - Ensure you have selected the AWS region closest to your location\ For this guide, we will be using us-east-2 (Ohio) as a preferred choice

Type **DynamoDB** in the search bar and click on **DynamoDB** to view the **DynamoDB** dashboard

**What is DynamoDB in AWS?** In AWS, DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It is designed to handle large-scale, high-traffic applications requiring low-latency access to data. DynamoDB offers features such as automatic scaling, built-in security, backup and restore capabilities, and flexible data modeling options.

On the **DynamoDB** dashboard, click on the **Tables** from the left bar

**Tables** wizard will open, click on the Name **todo**

**What are Tables in DynamoDB?** In Amazon DynamoDB, tables are the primary data storage construct. Each table consists of items, which are similar to rows in a traditional database, and attributes, which are similar to columns.

**todo** wizard will open, click on the **Global tables** tab to view the **Replicas**

**What are Replicas in DynamoDB?** In DynamoDB, replicas refer to copies of a DynamoDB table that are maintained in one or more AWS Regions for high availability and disaster recovery purposes. Replicas are part of DynamoDB's Global Tables feature, which allows you to replicate your data across multiple AWS Regions with automatic, synchronous data replication.

On the **todo** wizard, click on the **Backups** tab to view the **Point-in-time-recovery (PITR)**

**What is Point-in-time-recovery (PITR) in DynamoDB?** Point-in-time recovery (PITR) is a feature in Amazon DynamoDB that allows you to restore your table data to any point in time within a specified retention period, typically up to 35 days. PITR enables you to recover accidentally deleted or overwritten data, as well as to revert the table to a previous state in case of logical errors or application bugs.

Scroll to the **Backups** section and click on the **Create backup** button to create a new backup

**What are Backups in DynamoDB?** In Amazon DynamoDB, backups refer to point-in-time snapshots of your table data and global secondary indexes (GSIs). Backups provide a way to create full copies of your table data for the purpose of data protection, compliance, and disaster recovery.

**Create on-demand backup** wizard will open, type "**todo"** in the text input field for **Source table**

Scroll to the **Backup settings** section and select the option **Default settings** for the backup

Scroll the page and click on the **Create backup** button

The request to create an on-demand backup for table todo has been submitted successfully

Congratulations on creating a DynamoDB backup and submitting the on-demand backup request! Your proactive action ensures the safety and integrity of your data. Great job!

To view the Exports and streams information for the Tables, click on **Tables** from the left bar

Tables wizard will open, click on the Name **todo**

**todo** wizard will open, click on the **Exports and streams** tab to view the different features for the DynamoDB table like **Export to S3**

**What is Export to S3 in DynamoDB?** Export to Amazon S3 in Amazon DynamoDB allows you to export table data directly to an Amazon S3 bucket in Apache Parquet or JSON format. This feature enables you to easily analyze and process DynamoDB data using other AWS services or third-party tools.

Scroll to the **Amazon Kinesis data stream details** section to view the kinesis data stream

**What is Amazon Kinesis data stream details?** Amazon Kinesis Data Streams is a fully managed service provided by Amazon Web Services (AWS) for real-time streaming data processing at scale. It enables you to ingest, process, and analyze large volumes of streaming data in real-time, making it ideal for use cases such as log and event data processing, real-time analytics, and IoT data processing.

Scroll to the **DynamoDB stream details** section to view the stream details for the DynamoDB

**What is DynamoDB stream details?** Amazon DynamoDB Streams is a feature of Amazon DynamoDB that captures a time-ordered sequence of item-level modifications made to a DynamoDB table. It provides an immutable, continuously updating log of changes to items in the table, enabling real-time data processing, replication, and event-driven architectures.

On the **todo** wizard, click on the **Permissions** tab to view the Permissions details for the todo table like **IAM Access Analyzer active findings**

**What are IAM Access Analyzer active findings?** IAM Access Analyzer active findings refer to security findings generated by the IAM Access Analyzer service in AWS. These findings identify potential security risks and policy violations related to access permissions within your AWS resources.

Scroll to the **Resource-based policy for table** section to view the policies for the table

**What are Resource-based policy for table?** A resource-based policy for a table in Amazon DynamoDB is a type of access policy that defines permissions for accessing the table. It is attached directly to the table resource and controls who can perform actions on the table, such as read, write, and manage operations.

Congratulations on completing this lab and for exploring Amazon DynamoDB Table Operations! Well done! In conclusion, we explored advanced DynamoDB features like Global Tables, Point-in-time Recovery, On-demand Backup, Triggers, and Access Control via Web Identity Federation, enhancing scalability, resilience, and security for applications.