Amazon DynamoDB is a managed NoSQL database service that's offered by Amazon as part of the AWS portfolio.
You currently use DynamoDB to store metrics on product use and growth, but being stuck in the DynamoDB silo means that you can't easily use this data across a range of business use cases or teams. You can use a batch sync to liberate your data into Cinchy.
The DynamoDB source supports batch syncs.
You can find the parameters in the Info tab below (Image 1).
Title
Mandatory. Input a name for your data sync
Product Metrics
Variables
Permissions
Data syncs are role based access systems where you can give specific groups read, write, execute, and/or all of the above with admin access. Inputting at least an Admin Group is mandatory.
The following table outlines the mandatory and optional parameters you will find on the Source tab (Image 2).
The following parameters will help to define your data sync source and how it functions.
Source
Mandatory. Select your source from the drop down menu.
DynamoDB
Entity
Mandatory. The name of the entity you want to sync as it appears in DynamoDB.
Metrics
AWS Access Key (Client ID)
Mandatory. The encrypted AWS Access Key (Client ID) used to access your DynamoDB.
AWS Secret (Client Secret)
Mandatory. The encrypted AWS Secret (Client Secret) used to access your DynamoDB.
AWS Region
Mandatory. The name of the region for your AWS instance.
US-East-1
Username
Mandatory. The name of a user with access to connect to your DynamoDB server.
Password
Mandatory. The password associated with the above user.
AuthType
This field defines the authentication type for your data sync. Cinchy supports "Access Key" and "IAM" role. When selecting Access Key, you must provide the key and key secret. When selecting IAM role, a new field will appear for you to paste in the role's Amazon Resource Name (ARN). You also must ensure that:The role must be configured to have at least read access to the source. The Connections pods' role must have permission to assume the role specified in the data sync config
The Schema section is where you define which source columns you want to sync in your connection. You can repeat the values for multiple columns.
Name
Mandatory. The name of your column as it appears in the source.
Name
Alias
Optional. You may choose to use an alias on your column so that it has a different name in the data sync.
Data Type
Mandatory. The data type of the column values.
Text
Description
Optional. You may choose to add a description to your column.
Select Show Advanced for more options for the Schema section.
Mandatory
If both Mandatory and Validated are checked on a column, then rows where the column is empty are rejected
If just Mandatory is checked on a column, then all rows are synced with the execution log status of failed, and the source error of "Mandatory Rule Violation"
If just Validated is checked on a column, then all rows are synced.
Validate Data
If both Mandatory and Validated are checked on a column, then rows where the column is empty are rejected
If just Validated is checked on a column, then all rows are synced.
Trim Whitespace
Optional if data type = text. For Text data types, you can choose whether to trim the whitespace._
Max Length
Optional if data type = text. You can input a numerical value in this field that represents the maximum length of the data that can be synced in your column. If the value is exceeded, the row will be rejected (you can find this error in the Execution Log).
You can choose to add in a Transformation > String Replacement by inputting the following:
Pattern
Mandatory if using a Transformation. The pattern for your string replacement.
Replacement
What you want to replace your pattern with.
Note that you can have more than one String Replacement
You have the option to add a source filter to your data sync. Please review the documentation here for more information on source filters.
Configure your Destination
Define your Sync Actions.
Add in your Post Sync Scripts, if required.
Click Jobs > Start a Job to begin your sync.
Optional. Review our documentation on for more information about this field.
