Book Image

Azure Synapse Analytics Cookbook

By : Gaurav Agarwal, Meenakshi Muralidharan
Book Image

Azure Synapse Analytics Cookbook

By: Gaurav Agarwal, Meenakshi Muralidharan

Overview of this book

As data warehouse management becomes increasingly integral to successful organizations, choosing and running the right solution is more important than ever. Microsoft Azure Synapse is an enterprise-grade, cloud-based data warehousing platform, and this book holds the key to using Synapse to its full potential. If you want the skills and confidence to create a robust enterprise analytical platform, this cookbook is a great place to start. You'll learn and execute enterprise-level deployments on medium-to-large data platforms. Using the step-by-step recipes and accompanying theory covered in this book, you'll understand how to integrate various services with Synapse to make it a robust solution for all your data needs. Whether you're new to Azure Synapse or just getting started, you'll find the instructions you need to solve any problem you may face, including using Azure services for data visualization as well as for artificial intelligence (AI) and machine learning (ML) solutions. By the end of this Azure book, you'll have the skills you need to implement an enterprise-grade analytical platform, enabling your organization to explore and manage heterogeneous data workloads and employ various data integration services to solve real-time industry problems.
Table of Contents (11 chapters)

Chapter 6: Enriching Data Using the Azure ML AutoML Regression Model

In this chapter, we will cover how to train and enrich your data using a no-code, UI-based machine learning approach with Synapse Studio. We will learn how to configure and use an AutoML and cloud-based service of Azure ML to build your machine learning model with ease. Using AutoML, you will be able to develop a highly scalable, efficient, and robust model with a code-free experience. You will learn how to connect to an existing data source and train the model without writing a single line of code, using machine learning techniques within Synapse Studio.

You will also learn something very interesting – how to integrate Azure Cognitive Services so that you can bring the power of AI along with predictive analytics.

Apart from this, you will also get to learn how to use scalable machine learning models using SparkML and Machine Learning Library (MLlib). The Synapse runtime consists of many open source libraries...