Cloud Analytics with Microsoft Azure
Build modern data warehouses with the combined power of analytics and Azure
Published on 26. November 2019
Book
Paperback/Softback
242 pages
978-1-83921-640-4 (ISBN)
Description
Leverage the power of Azure to get efficient data insights from your big data in real time
Key Features
Explore the basics of cloud analytics using Azure
Discover different ways to process and visualize your data easily
Learn to use Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) to derive real-time customer insights
Book DescriptionWith data being generated at an exponential speed, organizations all over the world are migrating their infrastructure to the cloud. Application management becomes much easier when you use a cloud platform to build, manage, and deploy your services and applications.
Cloud Analytics with Microsoft Azure covers all that you need to extract useful insights from your data. You'll explore the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. You'll also delve into data analytics by studying use cases that focus on creating actionable insights from near-real-time data. As you advance, you'll 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'll have developed a solid understanding of data analytics with Azure and its practical implementation.
What you will learn
Explore the concepts of modern data warehouses and data pipelines
Discover different 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 forIf you're planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations that you must keep in mind. 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.
Key Features
Explore the basics of cloud analytics using Azure
Discover different ways to process and visualize your data easily
Learn to use Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) to derive real-time customer insights
Book DescriptionWith data being generated at an exponential speed, organizations all over the world are migrating their infrastructure to the cloud. Application management becomes much easier when you use a cloud platform to build, manage, and deploy your services and applications.
Cloud Analytics with Microsoft Azure covers all that you need to extract useful insights from your data. You'll explore the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. You'll also delve into data analytics by studying use cases that focus on creating actionable insights from near-real-time data. As you advance, you'll 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'll have developed a solid understanding of data analytics with Azure and its practical implementation.
What you will learn
Explore the concepts of modern data warehouses and data pipelines
Discover different 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 forIf you're planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations that you must keep in mind. 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.
More details
Language
English
Place of publication
Birmingham
United Kingdom
Dimensions
Height: 235 mm
Width: 191 mm
ISBN-13
978-1-83921-640-4 (9781839216404)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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 also a Microsoft Azure MVP and a regular organizer and speaker at local and international conferences, including Microsoft Ignite, NDC, and ServerlessDays. Hes 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 is a father and experienced Technical Consultant currently working with Readify in Sydney, Australia. He has been a Microsoft MVP in Windows Development since 2015, a Xamarin MVP since 2017, and a Xamarin Certified Developer with various Microsoft certifications. He has more than 5 years' professional working experience ranging from Mobile, Cloud, the web, and DevOps. Michael is a former CTO and a director of his Microsoft-partner company, and has worked with various Microsoft clients and consulting partners delivering valued consulting, delivery, training, technical presales, and support services. He is also a Microsoft Student Partner alumnus and worked for Microsoft during his internship. He has worked with various industries but with strong technical and business experience in Retail Banking and FinTech. He has a strong focus on efficiency, collaboration, and high business values. Michael also enjoys mentoring and attending conferences and user group meetups. He is also an international speaker having spoken at numerous events including the Cross-Platform Summit conference (Xamarin) in Ho Chi Minh, Vietnam, discussing mobile DevOps. You can follow Michael on twitter @mjtpena.
Content
Table of Contents
Introducing Analytics on Azure
Building your Modern Data Warehouse
Processing and Visualizing Data
Introducing Azure Synapse Analytics
Business Use Cases
Conclusion
Introducing Analytics on Azure
Building your Modern Data Warehouse
Processing and Visualizing Data
Introducing Azure Synapse Analytics
Business Use Cases
Conclusion