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)

Introducing Synapse Studio

Synapse Studio features a user-friendly, web-based interface that provides an integrated workspace and development experience. This allows data engineers to build end-to-end analytics solutions (ingest, explore, prepare, orchestrate, visualize) by performing everything they need within a single environment. Furthermore, data engineers can write and debug code in SQL or Spark. Synapse Studio also integrates with enterprise CI/CD processes. Synapse Studio is an ideal environment for data engineers and data scientists to share and collaborate on their analytics solutions.

To continue our tour, we will use the Azure Synapse Analytics workspace that we created in the previous section to launch Synapse Studio.

Launching Synapse Studio

With the Azure Synapse Analytics workspace you created in the previous section, we are now ready to make full use of it in Synapse Studio. Launching Synapse Studio can be done in two ways:

Method 1: Launching Synapse Studio...