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Can I read Hands-on Cloud Analytics with Microsoft Azure Stack: Transform Your Data to Derive Powerful Insights Using Microsoft Azure on EtoBox?

Hands-on Cloud Analytics with Microsoft Azure Stack: Transform Your Data to Derive Powerful Insights Using Microsoft Azure by Prashila Naik is a nonfiction available to read on EtoBox.

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

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 by 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 by 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 by 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

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

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Prashila Naik
Publisher
BPB Publications
Published
2020
Language
EN
ISBN
9789389898149
Category
nonfiction
Subjects
Computer Science, Science, Stem

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