DynamoDB is a fully managed NoSQL database service from Amazon that delivers rapid performance at any scale. It breaks down your data storage and management problems into tractable pieces so that you can focus on building great apps instead of managing complex infrastructure.
Microsoft To Do is the task management app that makes it easy to stay organized and manage your life. It's simple, smart, and a whole new way to get work done in less time.
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Trigger when new item created in table.
Trigger when new table created.
Triggers when a new list is created.
Triggers when a new task is created.
Triggers when any task is update.
Creates new item in table.
Create a new item or updates an existing item.
Creates a new list.
Creates a new task
Amazon DynamoDB is a fully managed NoSQL database service. It is used to store and retrieve any amount of data, with any level of availability, across the globe. Any data that is stored in DynamoDB can be accessed by any Internet-connected device through Web or mobile applications. It uses AWS to store the data and it uses an intelligent request routing system to distribute the data to one or more compute instances for processing.
Microsoft To-Do is a cross-platform task management application developed by Microsoft for Windows 10, web, iOS and Android devices. The primary purpose of Microsoft To-Do is to manage personal tasks and workflows. It is a cloud-based service that is integrated with Office 365 and Outlook.com accounts. It allows users to create lists, add tasks and reminders, sync them across multiple devices and share them with others.
Amazon DynamoDB can be integrated with Microsoft To-Do as fplows:
1st step – Create an AWS account.
2nd step – Select the region where the table will be created.
3rd step – Create a tablespace.
4th step – Create a table.
5th step – Add a primary key attribute to a table.
6th step – Create a provisioned read capacity unit.
7th step – Add a provisioned write capacity unit.
8th step – Create a global secondary index with provisioned read capacity units and provisioned write capacity units.
9th step – Add a global secondary index with provisioned read capacity units and provisioned write capacity units.
10th step – Create an AWS Lambda function that calls the API Gateway endpoint and reads the data from the table.
11th step – Deploy the AWS Lambda function and set up permissions to invoke it on specific events.
12th step – Invoke the API Gateway endpoint using the HTTP POST method. The POST body should contain the JSON payload with data for reading from DynamoDB table.
13th step – Read the data from the table using the HTTP GET method. The GET body should contain the JSON payload with parameters for reading from DynamoDB table. The GET response will be JSON response containing all rows from the table.
14th step – Get the total number of rows from the table using the HTTP GET method. The GET body should contain the JSON payload with parameters for reading from DynamoDB table. The GET response will be JSON response containing number of rows from the table.
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