Step 1. Capture the workflow segment using Integrated Deployment

1. Capture the Data Transformationsegment of the workflow

   • After reading the data, add the Capture Workflow Start node to begin the workflow capturing process

   • Use the Capture Workflow End node after the Summarize TimeStamp-Hourcomponent to end the capturing process

Transform

Part 1 - Preparing a data pipeline for deployment

Exercise 01 Development data pipeline - Integrated deployment

Learning objective: In this exercise you'll learn how to use integrated deployment to capture data transformation segment of a development data pipeline workflow and how to upload and version an automatically created data transformation workflow on KNIME Business Hub.

Workflow description: This workflow reads a sample of restaurant orders data, cleans and transforms it, and loads the transformed data to the development database. Besides, it captures the data transformation segment and saves it as a separate Data Transformation workflow directly on KNIME Business Hub.

You'll find the instructions to the exercises in the yellow annotations.

Extract a sample

Step 2. Save the Data Transformation workflow

1. In the Workflow Writer node:

   • Use the workflow relative path to write to /00 Deployment workflows folder

   • Enable overwriting of the workflow

   • Use custom workflow name: Data_Transformation

   • In the Inputs and outputs tab:

     • Select Workflow Service Input and Workflow Service Output nodes for the input and output nodes to be added automatically

2. Explore the automatically created workflow