Course 55093-A: Windows Azure Data Services (basics)

Course Modality

Instructor-led (classroom)

Course Level

Advanced

Course Time

3 days

Course Language

English

Course Overview

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.

Prerequisites

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.

Intended Audience

This course is intended for IT Professional (IT Pros), Developers and Architects.

IT Professional (IT Pros) who also create software applications, build or write computer code or develop Web sites or complex macros as a secondary responsibility and Developers who create software applications, develop web sites, create complex macros. 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.

Why The DataTech Labs ?

Self-Paced Online Video

A 360-degree learning approach that you can adapt to your learning style

A 360-degree learning

Engage and learn more with these live and highly-interactive classes alongside your peers

24/7 Teaching Assistance

24/7 Teaching Assistance Keep engaged with integrated teaching

Online Practice Labs

Projects provide you with sample work to show prospective employers.

Applied Projects

Real-world projects relevant to what you’re learning throughout the program

Learner Social Forums

A support team focused on helping you succeed alongside a peer community

Skill Covered

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.

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Course Curriculum

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

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