Windows Azure Data Services

Before attending this course, students must have:

Knowledge and skills to accomplish a given assignment in Visual Studio when using the General Development Settings collection in Visual Studio 2010 or Visual Studio 2012 or Visual Studio 2013.

This three day course introduces into Windows Azure Storage consisting of features like tables, blobs, queues and drives and how these features can be used in combination between IaaS and PaaS as well as on-premise components and how Azure Storage can be combined with classic SQL concepts. New no-sql storage mechanisms substitute relational database engines, ‘old’ terms like database and foreign keys are substituted with new paradigm changing concepts like collections of entities, primary keys providing data flow controls through datacenter, key/value pair constructs for metadata based mass structured data access, and binary data stores via Blob services. High performance, secure and reliable message handling for string, xml or binary content via Azure and Windows Azure Drives that allow you to read and write data to blob storage using standard file system functions will be explored from a developer, ITPro and end-user perspective.

After completing this course, students will be able to:

• Handle programmatically secured massive storage for structured and unstructured data
• Code a PaaS communication pipeline
• Converse programmatic a non-Azure Application to use cloud and on premise storage
• Create Programmatic Message storage and structured data retrieval from non-SQL mass data storage to Web Tier
• Create Content type coding for metadata contingent blob storage access VI. Retrieving Blob Data from Storage
• Establish programmatic metadata enrichments for Blobs (basics)
• Introduce Metadata contingent Blob handling
• Establish Programmatic Blob delete
• Establish Programmatic Blob copy
• Establish Programmatic safeguarding of Blobs from deleting
• Establish Programmatic message handling from Web app to log emulator via Windows Azure Queues (basics)
• Create the Initial Solution
• Code a PaaS communication pipeline
• Retrieving Messages from the Queue
• Establish a programmatic exposure of regular file system APIs as an Azure service (no-code integration for non-Azure apps)
• Create programmatic conversion of a non-Azure Application to use cloud and on premise storage
• Move complex applications to the cloud without changes to its code via dynamic store relocator
• Programmatically implement and deploy a corporate private Cloud App Drive
• Create and configure a VM
• Modify a given PaaS application
• Establish bridge communication to an IaaS application
• Understand deployment scenarios for PaaS/IaaS application referenced as Cloud App in Windows Azure
• Connect a sample Web application with the SQL Server using a public endpoint
• Deploy a sample Web application to a Cloud App in Windows Azure

Module 1: Massive Storage handling for structured data (basic procedures)

This module explains how to programmatically establish a high performance, secure and reliable Windows Azure Data Services usage scenario consisting of features like tables, blobs, queues and drives.

Lessons

• Define the Windows Azure storage and the benefits this service provides
• Understand a Windows Azure storage account
• Apply security principles

Lab: PaaS WebRole Development for Massive Storage handling (Basic Procedures)
Lab: Storage Emulator coding via WCF Data Services

Lab: Programmatic Message storage and structured data retrieval from non-sql mass data storage to Web Tier

After completing this module, students will be able to:

• Handle Massive Storage for structured data (basic procedures)
• Develop PaaS WebRoles for Massive Storage handling (Basic Procedures)
• Code Storage Emulator coding via WCF Data Services including creation and reading of metadata
• Code Message Storage and structured data retrieval from non-sql mass data storage to Web Tier

Module 2: Content type coding for metadata contingent blob storage access

This module explains how to use a web page as presentation layer referenced to as “image gallery” to visualize Windows Azure storage retrieval.

Lessons

• REST API for the Blob service exposed
• Hierarchical namespace transitions into a file system
• Blob services definitions
• Blob types
• Immediate and delayed Blob operations
• Ad-hoc and Policy based access to Blobs

Lab: Retrieving Blob Data from Storage
Lab: Programmatic metadata enrichments for Blobs (basics)

Lab: Metadata contingent Blob handling

Lab: Programmatic Blob delete

Lab: Programmatic Blob copy

Lab: Programmatic safeguarding of Blobs from deleting

After completing this module, students will be able to:

• Code Content Type for metadata contingent blob storage access
• Retrieve Blob Data from Storage
• Programmatically enrich metadata Blobs (basics)
• Establish Metadata contingent Blob handling
• Programmatically delete Blob delete
• Programmatically copy Blobs
• Programmatically safeguard Blobs from deleting

Module 3: Programmatic message handling from Web app to log emulator via Windows Azure Queues (basics)

This module explains how to create and configure the initial solution to work with queues in Windows Azure.

Lessons

• Queue Name scope
• Usage scenario for blob vs. queue
• Queue integration patterns

Lab: Creating the Initial Solution
Lab: Coding a PaaS communication pipeline

Lab: Retrieving Messages from the Queue

Module 4: Programmatic exposure of regular file system APIs as an Azure service (no-code integration for non-Azure apps)

This module explains how to build a bridge connectivity between a PaaS Web Application and an IaaS Host services application located on an IaaS VM, via public and private endpoint mechanisms.

Lessons

• Differences and commonalities for the three established industry terms for cloud services
• Set of features of Virtual Machines
• Virtual Machine Portability to other cloud provider
• Mounting of durable drives

Lab: Programmatic conversion of a non-Azure Application to use cloud and on premise storage
Lab: Moving complex applications to the cloud without changes to its code via dynamic store relocator

Lab: Programmatically implement and deploy a corporate private Cloud App Drive

After completing this module, students will be able to:

• Programmatically convert a non-Azure Application to use cloud and on premise storage
• Programmatically expose regular file system APIs as an Azure service (no-code integration for non-Azure apps)
• Move complex applications to the cloud without changes to its code via dynamic store relocator
• Programmatically implement and deploy a corporate private Cloud App Drive

Module 5: Data Exchange between IaaS and PaaS

This module explains how to build a bridge connectivity between a PaaS Web Application and an IaaS Host services application located on an IaaS VM, via public and private endpoint mechanisms.

Lessons

• Differences and commonalities for the three established industry terms for cloud services
• Set of features of Virtual Machines
• Virtual Machine Portability to other cloud provider
• Mounting of durable drives

Lab: Build an IaaS application via WAMP
Lab: IaaS application (Microsoft SQL Server 2012 SP1 Standard on Windows Server 2012) configuration

Lab: Download and install sample database to prep for PaaS app connection

Lab: PaaS Application to IaaS connectivity in the Cloud

Lab: Cloud TDD for rapid PaaS – IaaS data exchange

After completing this module, students will be able to:

• Create and configure a VM
• Modify a given PaaS application
• Establish bridge communication to an IaaS application
• Understand deployment scenarios for PaaS/IaaS application referenced as Cloud App in Windows Azure
• Connect a sample PaaS Web application with classic SQL Server utilizing endpoints
• Deploy a sample Web application as a Cloud App in Windows Azure

Certificat de fin de formation délivré par ELGON

En présentiel ou en classe virtuelle

Suite public cible:

Both should have a minimum of three months programming experience in C# and have basic Visual Studio 2010 or Visual Studio 2012 or Visual Studio 2013 navigation skills and Architects tasked with transitioning of on-Premise Data to Microsoft Azure Cloud or tasked to build Hybrid solution defined as continuous data pipe between on-premise and Cloud.