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)

Deep dive into Azure Synapse Analytics

Now that you understand why Azure Synapse Analytics was invented, we will take a deeper look at the services offered by Azure Synapse Analytics.

Azure Synapse Analytics is a fully managed, integrated data analytics service that blends data warehousing, data integration, and big data processing with accelerating time to insight into a single service.

The advantage of having a single integrated data service is that, for enterprises, it accelerates the delivery of BI, AI, machine learning, Internet of Things, and intelligent applications.

Figure 2.2 illustrates how a modern data pipeline can be built using Azure Synapse Analytics. In this example, the ingestion process starts from a blob storage source through to Azure Data Lake Storage Gen2 in the Azure Synapse Analytics workspace. Using a Spark pool, you can read from multiple data sources via Azure Data Lake Storage Gen2 and Azure SQL Database and perform any transformations and data...