Cloud Analytics with Microsoft Azure: Transform your business with the power of analytics in Azure,2nd Edition Paperback – January 28,2021
by Has Altaiar ,Jack Lee ,Michael Peña
Publisher finelybook 出版社: Packt Publishing (January 28,2021)
Language 语言: English
Print Length 页数: 184 pages
ISBN-10: 1800202431
ISBN-13: 9781800202436
Book Description
Learn to extract actionable insights from your big data in real time using a range of Microsoft Azure features
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.
What you will learn
Explore the concepts of modern data warehouses and data pipelines
Discover unique design considerations while applying a cloud analytics solution
Design an end-to-end analytics pipeline on the cloud
Differentiate between structured,semi-structured,and unstructured data
Choose a cloud-based service for your data analytics solutions
Use Azure services to ingest,store,and analyze data of any scale
