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On this page
  • Datasource Concepts
  • Step by Step Guide
  • STEP-1: Configure EventHub Connection
  • STEP-2: Configure EventHub datasource
  • STEP-3: Create Dataset
  • STEP-4: Run and schedule Ingestion
  1. Ingesting your data
  2. Data Imports
  3. Events

Azure EventHub

Guide to integrate your Azure EventHub to Sprinkle

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Last updated 1 year ago

Datasource Concepts

Before setting up the datasource, learn about datasource concepts

Step by Step Guide

STEP-1: Configure EventHub Connection

To learn about Connection, refer

  • Log into Sprinkle application

  • Navigate to Datasources -> Connections Tab -> New Connection ->

  • Select Azure Eventhub

  • Provide all the mandatory details

    • Name: Name to identify this connection

    • EventHub Connection String: Provide in the format -> DefaultEndpointsProtocol=https;AccountName=XXXX;AccountKey=XXXXXXXXXXXXX;EndpointSuffix=core.windows.net

  • Test Connection

  • Create

STEP-2: Configure EventHub datasource

  • Navigate to Datasources -> Datasources Tab -> Add ->

  • Select Azure Eventhub

  • Provide the name -> Create

  • Connection Tab:

    • From the drop-down, select the name of connection created in STEP-2

    • Update

STEP-3: Create Dataset

  • 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: Schema needs to be provided

      • Warehouse Schema: Provide the row schema

  • 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>

  • Create

STEP-4: Run and schedule Ingestion

In the Ingestion Jobs tab:

  • Trigger the Job, using Run button

  • To schedule, enable Auto-Run. Change the frequency if needed

To learn about datasource, refer

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

Destination Create Table Clause: Provide additional clauses to warehouse-create table queries such as clustering, partitioning, and more, useful for optimizing DML statements. on how to use this field.

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