Cloud Analytics with Microsoft Azure
Packt Publishing Limited (Verlag)
978-1-80020-243-6 (ISBN)
Learn to extract actionable insights from your big data in real time using a range of Microsoft Azure features
Key Features
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
Book DescriptionCloud 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
Who this book is forThis 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.
Has Altaiar is a software engineer at heart and a consultant by trade. Has lives in Melbourne, Australia, and is the Executive Director at vNext Solutions. His work focuses on data, IoT, and AI on Microsoft Azure, and two of his latest IoT projects won multiple awards. Has is a Microsoft Azure MVP and a regular organizer and speaker at local and international conferences, including Microsoft Ignite, NDC, and ServerlessDays. He's also a board member of the Global AI Community. You can follow him on Twitter at hasaltaiar. Jack Lee is a senior Azure certified consultant and an Azure practice lead with a passion for software development, cloud, and DevOps innovations. He is an active Microsoft tech community contributor and has presented at various user groups and conferences, including the Global Azure Bootcamp at Microsoft Canada. Jack is an experienced mentor and judge at hackathons and is also the president of a user group that focuses on Azure, DevOps, and software development. He is the co-author of Azure for Architects and Cloud Analytics with Microsoft Azure, published by Packt Publishing. He has been recognized as a Microsoft MVP for his contributions to the tech community. You can follow Jack on Twitter at jlee_consulting. Michael Peña is an experienced technical consultant based in Sydney, Australia. He is a Microsoft MVP and a certified professional with over 10 years of experience in data, mobile, cloud, web, and DevOps. Throughout these years, he wore various hats but considered himself a developer at heart. He is also an international speaker, having spoken at numerous events, including Microsoft Ignite, NDC, DDD, Cross-Platform Summit, and various in-person and virtual meet-ups. Michael has interned with Microsoft and is also a Microsoft student partner alumnus. You can follow him on Twitter at mjtpena.
Table of Contents
Introducing analytics on Azure
Introducing the Azure Synapse Analytics workspace and Synapse Studio
Processing and visualizing data
Business use cases
Conclusion
| Erscheinungsdatum | 08.02.2021 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 75 x 93 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| ISBN-10 | 1-80020-243-1 / 1800202431 |
| ISBN-13 | 978-1-80020-243-6 / 9781800202436 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
