IoT Solutions in Microsoft Azure IoT Suite Data Acquisition and Analysis in the Real World 1st Edition by Scott Klein ISBN 9781484221433 1484221435
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ISBN 10: 1484221435
ISBN 13: 9781484221433
Author: Scott Klein
IoT Solutions in Microsoft Azure IoT Suite Data Acquisition and Analysis in the Real World 1st Edition Table of contents:
Part I: Getting Started
Chapter 1: The World of Big Data and IoT
Big Data
What Is Big Data?
The Three Vs of Big Data
Volume
Variety
Velocity
Are There Additional Vs?
Why You Should Care About Big Data
Big Data Solutions vs. Traditional Databases
A Quick Data Landscape Comparison
Internet of Things (IoT)
What Is the IoT?
The Internet of “Your” Things
Scenarios
The Connected Car
Connected Home
Connected Cow
Summary
Chapter 2: Generating Data with Devices
Raspberry Pi
Getting Started
Installing Windows IoT Core
Generating Data
FEZ HAT
Tessel
Summary
Part II: Data on the Move
Chapter 3: Azure IoT Hub
What Is Azure IoT Hub?
Why Use Azure IoT Hub?
Architectural Overview
Creating an IoT Hub
Messaging Settings
Cloud-To-Device Settings
Device-To-Cloud Settings
Operations Monitoring Settings
Monitoring Categories
Monitoring Settings
Diagnostics Settings
Other Settings
Shared Access Policies
Pricing and Scale
Summary
Chapter 4: Ingesting Data with Azure IoT Hub
Registering the Device
Updating the Application
Raspberry Pi
Tessel
Considerations
Uploading Files to Azure IoT Hub
Other Device Management Solutions
Summary
Chapter 5: Azure Stream Analytics
What Is Azure Stream Analytics?
Key Benefits and Capabilities
Creating an Azure Stream Analytics Job
Scale
Event Ordering
Audit Log
Additional Settings
Summary
Chapter 6: Real-Time Data Streaming
Configuring the Stream Analytics Job
Creating an Input
Data Stream vs. Reference Data
Consumer Groups
Creating an Output
Defining the Query
Running the Stream Analytics Job
More on Queries
Windowing
Tumbling Window
Hopping Window
Sliding Window
Summary
Chapter 7: Azure Data Factory
What Is Azure Data Factory?
Key Components
Activity
Pipeline
Dataset
Linked Service
Creating and Configuring a Data Factory
Portal
Visual Studio
Scenario
Summary
Chapter 8: Integrating Data Between Data Stores Using Azure Data Factory
Building the Pipeline
Preparing the Environment
Creating the Linked Service
Azure Storage
Azure SQL
Creating the Datasets
Creating the Pipeline
Copying Data
Running and Monitoring the Pipeline
Monitoring and Managing Azure Data Factory
Alerts
Summary
Part III: Data at Rest
Chapter 9: Azure Data Lake Store
Azure Data Lake
Azure Data Lake Store
Azure Data Lake Analytics
U-SQL
Azure HDInsight
Azure Data Lake Store
Creating a Data Lake Store
Working with Azure Data Lake Store
Azure Portal
Visual Studio
Security
Authentication
Authorization
Role-Based Access Control
ACLs
Summary
Chapter 10: Azure Data Lake Analytics
Azure Data Lake Analytics
Creating a New Data Lake Analytics Account
Working with Azure Data Lake Analytics
Azure Portal
Visual Studio
Data Lake Tools
Summary
Chapter 11: U-SQL
What and Why
Architecture
Core Language Principles
Extractors, Outputters, and Transformers
U-SQL Batch Job Execution Lifetime
Extensibility
Assemblies
User-Defined Functions, Aggregators, and Operators
Functions
Operators
Aggregators
Inline Expressions and Code-Behind
Summary
Chapter 12: Azure HDInsight
What Is HDInsight?
What Is Hadoop?
Big Data Processing Decision Tree
Creating a Cluster
Cluster Configuration
Credentials
Data Source
Pricing
Using Hadoop for Batch Queries
.NET SDK
HDInsight Tools for Visual Studio
Query Console
Summary
Chapter 13: Real-Time Insights and Reporting on Big Data
Real-Time Streaming and Analytics with Power BI
Configuring Azure Stream Analytics
Power BI
Creating the Report
Summary
Chapter 14: Azure Machine Learning
What Is Azure Machine Learning?
Creating the Azure Machine Learning Workspace
The Machine Learning Studio
Uploading Your Data
Processing Temperature Data
Creating the Experiment
Machine Learning Web Service
Azure Data Factory
Summary
Part IV: More on Cortana Intelligence
Chapter 15: Azure Data Catalog
What Is Azure Data Catalog?
Scenarios
Working with Azure Data Catalog
Provision Azure Data Catalog
Registering Data Sources
Discover Data Sources
Data Discovery
Connect to Data Sources
Summary
Chapter 16: Azure Event Hubs
What Is Azure Event Hubs?
IoT Hub vs. Event Hubs Comparison
Creating an Event Hub
Creating the Namespace
Creating the Event Hub
Defining the Shared Access Policies
Sending Messages to the Event Hubs
Pulling Messages from Event Hubs with Stream Analytics
Summary
Index
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