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10.3 Microsoft Azure Cloud
10.3.1 Overview
Microsoft Azure
is a cloud computing service created by Microsoft for building, deploying, and managing
applications and services through a global network of Microsoft-managed data centers. It provides software
as a service, platform as a service and infrastructure as a service and supports many different programming
languages, tools and frameworks, including both Microsoft-specific and third-party software and systems.
Components of Azure Cloud
•
Compute Services:
Infrastructure as a service (IaaS) allowing users to launch general-purpose Microsoft
Windows and Linux virtual machines.
•
Azure Machine Learning:
Microsoft Azure Machine Learning Studio is a collaborative, drag-and-drop
tool you can use to build, test, and deploy predictive analytics solutions on your data.
•
HDInsight:
HDInsight is the only fully-managed cloud Hadoop offering that provides optimized open
source analytic clusters.
•
Azure SQL database:
SQL Database is a relational database service in the Microsoft cloud based on
the market-leading Microsoft SQL Server engine and capable of handling mission-critical workloads.
•
Azure DocumentDB:
Document DB is a fully managed NoSQL database service built for fast and
predictable performance, high availability, elastic scaling, and Schema-free NoSQL database.
•
Azure Stream Analytics:
Azure Stream Analytics is a fully managed, cost effective real-time event
processing engine which makes computation on data streaming from devices, sensors, social media
and application etc.
•
Azure Data Factory:
Data Factory is a cloud-based data integration service that orchestrates and
automates the movement and transformation of data.
•
Azure Active Directory:
Azure Active Directory (Azure AD) is Microsoft’s multi-tenant cloud based
directory and identity management service.
•
Azure Storage Service:
Provide storages options such as Blob storage, Table storage, Queue storage
and File storage.
•
Azure Functions:
Azure Functions is a solution for easily running small pieces of code, or “functions,”
in the cloud.
•
Azure SQL Data warehouse:
Azure SQL Data Warehouse is a cloud-based, scale-out database capable
of processing massive volumes of data, both relational and non-relational.
•
Log Analytics:
Log Analytics is a service in Operations Management Suite (OMS) that helps you collect
and analyze data generated by resources in your cloud and on-premises environments.
•
Azure Data Lake Store:
Azure Data Lake Store is an enterprise-wide hyper-scale repository for big data
analytic workloads.
•
PowerBI:
Business analytics service provided by Microsoft that provides interactive visualizations with
self-service business intelligence capabilities to create reports and dashboards.
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