AWS Kinesis

Pipeline Concepts

Before setting up the Pipeline, learn about Pipeline concepts here

To learn about Connection, refer here

Log into Sprinkle application
Navigate to Ingest -> 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 Pipeline, refer here

Navigate to Ingest -> Pipeline 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_<Pipelinename>_<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: