Book Image

Cloud Analytics with Microsoft Azure - Second Edition

By : Has Altaiar, Jack Lee, Michael Peña
Book Image

Cloud Analytics with Microsoft Azure - Second Edition

By: Has Altaiar, Jack Lee, Michael Peña

Overview of this book

Cloud Analytics with Microsoft Azure serves as a comprehensive guide for big data analysis and processing using a range of Microsoft Azure features. This book covers everything you need to build your own data warehouse and learn numerous techniques to gain useful insights by analyzing big data. The book begins by introducing you to the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. You will learn about cloud-scale analytics and the services Microsoft Azure offers to empower businesses to discover insights. You will also be introduced to the new features and functionalities added to the modern data warehouse. Finally, you will look at two real-world business use cases to demonstrate high-level solutions using Microsoft Azure. The aim of these use cases will be to illustrate how real-time data can be analyzed in Azure to derive meaningful insights and make business decisions. You will learn to build an end-to-end analytics pipeline on the cloud with machine learning and deep learning concepts. By the end of this book, you will be proficient in analyzing large amounts of data with Azure and using it effectively to benefit your organization.
Table of Contents (7 chapters)

Summary

Azure Synapse Analytics is a groundbreaking evolution of Azure SQL Data Warehouse. It takes the best of the Azure SQL Data Warehouse and modernizes it by providing more functionalities for SQL developers, adding querying with serverless SQL pools, machine learning support, embedding Spark natively, collaborative notebooks, and data integration—all within a single service.

As you have learned in this chapter, data engineers can provision an Azure Synapse Analytics workspace in a matter of minutes and start building their end-to-end analytics solutions using a unified, simplified, and streamlined approach inside Synapse Studio. This remarkable and innovative all-in-one environment is a dream come true for many data professionals.

In the next chapter, you will look at Power BI and Azure Machine Learning. Later, we will see real use cases for how all of these technologies are integrated to provide the complete end-to-end data warehouse solutions that business decision...