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Azure Synapse Analytics Cookbook

You're reading from   Azure Synapse Analytics Cookbook Implement a limitless analytical platform using effective recipes for Azure Synapse

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781803231501
Length 238 pages
Edition 1st Edition
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Authors (2):
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Gaurav Agarwal(BLR) Gaurav Agarwal(BLR)
Author Profile Icon Gaurav Agarwal(BLR)
Gaurav Agarwal(BLR)
Meenakshi Muralidharan Meenakshi Muralidharan
Author Profile Icon Meenakshi Muralidharan
Meenakshi Muralidharan
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Toc

Table of Contents (11) Chapters Close

Preface 1. Chapter 1: Choosing the Optimal Method for Loading Data to Synapse 2. Chapter 2: Creating Robust Data Pipelines and Data Transformation FREE CHAPTER 3. Chapter 3: Processing Data Optimally across Multiple Nodes 4. Chapter 4: Engineering Real-Time Analytics with Azure Synapse Link Using Cosmos DB 5. Chapter 5: Data Transformation and Processing with Synapse Notebooks 6. Chapter 6: Enriching Data Using the Azure ML AutoML Regression Model 7. Chapter 7: Visualizing and Reporting Petabytes of Data 8. Chapter 8: Data Cataloging and Governance 9. Chapter 9: MPP Platform Migration to Synapse 10. Other Books You May Enjoy

Building a regression model from Azure Machine Learning in Synapse Studio

Let's now look at how you can build a regression model with Azure Synapse Studio using a Jupyter notebook and then deploy the same on the Azure Machine Learning workspace. In the previous recipe, we saw how we can build and train a machine learning model with code-less experience.

It's time to explore how we can build the regression model with Synapse Studio using the notebook experience and deploy the Studio on the Azure Machine Learning workspace.

We will be leveraging the same Spark pool to build and train the model and deploy it from the Azure Synapse workspace to the Azure Machine Learning workspace, which is linked to Synapse.

We will perform this within the same notebook experience.

Getting ready

Make sure the following have been completed before you begin:

  • The Azure Machine Learning workspace in the Azure Machine Learning service in Azure, as we did in the Training a...
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