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Cloud Analytics with Microsoft Azure
Cloud Analytics with Microsoft Azure

Cloud Analytics with Microsoft Azure: Transform your business with the power of analytics in Azure , Second Edition

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Profile Icon Has Altaiar Profile Icon Jack Lee Profile Icon Michael John Peña
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AU$60.99
eBook Jan 2021 184 pages 2nd Edition
eBook
AU$60.99
Paperback
AU$75.99
Subscription
Free Trial
Renews at AU$16.99p/m
Arrow left icon
Profile Icon Has Altaiar Profile Icon Jack Lee Profile Icon Michael John Peña
Arrow right icon
AU$60.99
eBook Jan 2021 184 pages 2nd Edition
eBook
AU$60.99
Paperback
AU$75.99
Subscription
Free Trial
Renews at AU$16.99p/m
eBook
AU$60.99
Paperback
AU$75.99
Subscription
Free Trial
Renews at AU$16.99p/m

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Key benefits

  • Updated with the latest features and new additions to Microsoft Azure
  • Master the fundamentals of cloud analytics using Azure
  • Learn to use Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) to derive real-time customer insights

Description

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.

Who is this book for?

This book is designed to benefit software engineers, Azure developers, cloud consultants, and anyone who is keen to learn the process of deriving business insights from huge amounts of data using Azure. Though not necessary, a basic understanding of data analytics concepts such as data streaming, data types, the machine learning life cycle, and Docker containers will help you get the most out of the book.

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

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jan 28, 2021
Length: 184 pages
Edition : 2nd
Language : English
ISBN-13 : 9781800200289
Vendor :
Microsoft

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
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Payment Processing...
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Product Details

Publication date : Jan 28, 2021
Length: 184 pages
Edition : 2nd
Language : English
ISBN-13 : 9781800200289
Vendor :
Microsoft

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Frequently bought together


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Total AU$ 227.97
Azure Data Engineering Cookbook
AU$67.99
Cloud Analytics with Microsoft Azure
AU$75.99
Cloud Scale Analytics with Azure Data Services
AU$83.99
Total AU$ 227.97 Stars icon
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