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)

An overview of Spark MLlib and Azure Synapse

Azure Synapse Analytics provides you with a single collaborative platform for data processing in memory, leveraging the power of Apache Spark. This is an in-memory distributed platform in which you have the option to run scalable machine learning algorithms.

MLlib and Spark ML are two highly distributed and scalable environments for machine learning libraries. Some of the default machine learning libraries that are included are TensorFlow, scikit-learn, PyTorch, and XGBoost.

SynapseML (previously MMLSpark) is the Microsoft machine learning library for Apache Spark, which includes many distributed frameworks for Spark and provides seamless integration between the Microsoft Cognitive Toolkit (CNTK) or OpenCV. This enables high throughput with extraordinary performance because of the Spark cluster running behind.