Introduction

A batch source that ingests data from dynamodb into hydrator pipelines.

Use case(s)

• For an organization all the spam emails are being dumped to dynamodb table. As a data scientist I want to train my machine learning models in hydrator pipelines based on the data from the dynamodb tables.
  
  

User Storie(s)

• User should be able to provide the table name in DynamoDb.
• User should be able to provide the AWS endpoint url for DynamoDb instance.
• User should be able to provide the AWS region id for DynamoDb instance.
• User should be able to provide the throughput for DynamoDb instance. (Dynamo db charges are incurred based on throughput and user should be able to control the throughput)
• User should be able to provide the AWS access id.
• User should be able to provide the AWS access key.
  
  
  

Plugin Type

• Batch Source
• Batch Sink 
• Real-time Source
• Real-time Sink
• Action
• Post-Run Action
• Aggregate
• Join
• Spark Model
• Spark Compute

Configurables

This section defines properties that are configurable for this plugin. 

Design / Implementation Tips

• Please refer our Mongo db plugins
• Please refer https://github.com/awslabs/emr-dynamodb-connector

Design

Approach(s)

Properties

Security

Limitation(s)

Future Work

• Some future work – HYDRATOR-99999
• Another future work – HYDRATOR-99999

Test Case(s)

• Test case #1
• Test case #2

Sample Pipeline

Pipeline #1

Pipeline #2