AWS Kinesis

Guide to integrate your AWS Kinesis to Sprinkle

Datasource Concepts

Before setting up the datasource, learn about datasource concepts here

To learn about Connection, refer here

Log into Sprinkle application
Navigate to Datasources -> Connections Tab -> New Connection ->
Select Kinesis
Provide all the mandatory details
- Name: Name to identify this connection
- Access Key Id
- Secret Key Id
- Region
Test Connection
Create

To learn about datasource, refer here

Navigate to Datasources -> Datasources Tab -> Add ->
Select Kinesis
Provide the name -> Create
Connection Tab:
- From the drop-down, select the name of connection created in STEP-2
- Update

Datasets Tab: To learn about Dataset, refer here. Add Dataset for each table that you want to replicate, providing following details

Stream Name (Required)
Automatic Schema (Required):
- Yes: Schema is automatically discovered by Sprinkle (Recommended)
  - Flatten Level (Required): Select from One Level or Multi Level.In one level, flattening will not be applied on complex type. They will be stored as string. In multi level, flattening will be applied in complex level till they become simple type.
- No: Warehouse Schema to be provided Format for Warehouse schema is : Col1 datatype, Col2 datatype,Col3 datatype Datatype should be warehouse specific.
Destination Schema (Required) : Data warehouse schema where the table will be ingested into
Destination Table name (Required) : It is the table name to be created on the warehouse. If not given, sprinkle will create like ds_<datasourcename>_<tablename>
Destination Create Table Clause: Provide additional clauses to warehouse-create table queries such as clustering, partitioning, and more, useful for optimizing DML statements. Learn more on how to use this field.
Create

In the Ingestion Jobs tab:

Last updated 12 months ago