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Textbook in PDF format

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 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 services
Orchestrate and ingest data using Azure Data Factory
Learn how to use Azure Stream Analytics
Get to know more about Synapse Analytics and its features
Learn how to use Azure Analysis Services and its functionalities
Data and its Power
Evolution of Analytics and its Types
Internet of Things
AI and ML
Why Cloud?
What is a Data Lake and a Modern Datawarehouse/Mart
Introduction to Azure Services
Types of Data
Azure Data Factory
Stream Analytics
Azure Data Lake Store and Azure Storage
Cosmos DB
Synapse Analytics
Azure Databricks
Azure Analysis Services
Power BI
Azure Machine Learning
Sample Real-Time and Batch Architectures and Synergies
Azure Data Catalog
Azure Active Directory
Azure Web Apps
Power Apps
IoT Time Series Insights
Azure Cognitive Services
Azure Logic Apps
Azure Virtual Machine
Azure Functions
Azure Containers
Azure Kubernetes
Use Case 1
Use Case 2