Hands-on Cloud Analytics with Microsoft Azure Stack: Transform Your Data to Derive Powerful Insights Using Microsoft Azure


Hands-on Cloud Analytics with Microsoft Azure Stack
Author: Prashila Naik
Publisher Finelybook 出版社: BPB Publications (November 11, 2020)
Language 语言: English
pages 页数: 306 pages
ISBN-10 书号: 9389898145
ISBN-13 书号: 9789389898149


Book Description
Explore and work with various Microsoft Azure services for real-time Data Analytics

Key Features
Understanding what Azure can do with your data
Understanding the analytics services offered Author: Azure
Understand how data can be transformed to generate more data
Understand what is done after a Machine Learning model is built
Go through some Data Analytics real-world use cases
Description
Data is the key input for Analytics. Building and implementing data platforms such as Data Lakes, modern Data Marts, and Analytics at scale require the right cloud platform that Azure provides through its services.The book starts Author: sharing how analytics has evolved and continues to evolve. Following the introduction, you will deep dive into ingestion technologies. You will learn about Data processing services in Azure. You will next learn about what is meant Author: a Data Lake and understand how Azure Data Lake Storage is used for analytical workloads.You will then learn about critical services that will provide actual Machine Learning capabilities in Azure. The book also talks about Azure Data Catalog for cataloging, Azure AD for Access Management, Web Apps and PowerApps for cloud web applications, Cognitive services for Speech, Vision, Search and Language, Azure VM for computing and Data Science VMs, Functions as serverless computing, Kubernetes and Containers as deployment options. Towards the end, the book discusses two use cases on Analytics.
What will you learn
Explore and work with various Azure servicesOrchestrate and ingest data using Azure Data FactoryLearn how to use Azure Stream AnalyticsGet to know more about Synapse Analytics and its featuresLearn how to use Azure Analysis Services and its functionalities

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