Azure unleashed

ALL RIGHTS RESERVED © 2014
Unleashed

Real Microsoft expertise. Real business value.
Infrastructure Business Productivity
Azure &
O365
Exchange &
Lync + Voice
Private &
Public Cloud
Windows
Server &
Virtual
Identity, AD,
DirectAccess
System
Center 2012
ITSM / ITIL
Desktop
Imaging &
Win upgrade
Migrations &
Integrations
Portals, Intranets, Business
Critical, Doc Imaging, Workflow…
(SharePoint)
Sales, Marketing, Dashboards,
Account Management, Etc.
(Dynamics CRM)
Business Apps
Application
Development
Messaging,
Conference,
Presence, Video,
Voice (Lync)
Office

Technical Awards and Recognitions
Microsoft Partner of the Year
• 2014 Management & Virtualization Finalist
• 2012 Midwest
• 2012 Central Regional
• 2012 Content Management Global
• 2011 Midwest
• 2001 Marketing
Microsoft Gold Certification

Business Awards and Recognition
Aug 21
Aug 19
Aug 18

Speakers

Today’s highlights

Cloud Computing

Azure VM without a Network
azure
internet

Azure VMs in a Network
azure
internet
virtual network

Azure VM Network with a Gateway
azure
internet
virtual network
gateway

Multiple Azure Networks
azure
internet

Connecting Networks with VPN
corpnet

Connecting Networks with VPN
corpnet
branch

Connecting Networks with MPLS
corpnet
branch
mpls

Recover Virtual Machines into Azure

Azure Automation

Azure Mobile Services

Azure Active Directory

Windows Active Directory
User
Windows AD

SaaS
Azure AD
User

SaaS
Azure AD
User
Windows AD DirSync

SaaS
Azure AD
User
Windows AD DirSync
ADFS

Enterprise Mobility Suite

Azure Websites
Languages such as .Net, PHP, Node.js,
and Python.
Integrate with other Azure services,
such as SQL Database, Service Bus and
Storage
Application development &
deployment methodologies such as
Visual Studio, Git, WebMatrix,
WebDeploy, TFS, and FTP
Azure Websites gallery contains many
third-party applications, such as Drupal
and WordPress as well as development
frameworks such as Django and
CakePHP

Azure SQL Databases

What is Big Data?
“Big data is a collection of data sets so large and
complex that it becomes awkward to work with
using on-hand database management tools.
Difficulties include capture, storage, search,
sharing, analysis, and visualization.”
– Wikipedia

What’s driving it?

What is it comprised of?
VOLUME
(Size)
VARIETY
(Structure)
VELOCITY
(Speed)

Big Data In Our World
Exabytes
(10E18)
Petabytes
(10E15)
Internet of things
Wikis / Blogs
Audio / Video
Log Files
Text/Image
Social Sentiment
Data Market Feeds
eGov Feeds
Weather
Click Stream
Sensors / RFID / Devices
Spatial & GPS Coordinates
Mobile WEB 2.0
Advertising eCommerce Collaboration
Digital Marketing
Search Marketing
Web Logs
Recommendations
ERP / CRM
Sales Pipeline
Payables
Payroll
Inventory
Contacts
Deal Tracking
Terabytes
(10E12)
Gigabytes
(10E9)
Velocity - Variety
Volume
1980
190,000$
2010
0.07$
1990
9,000$
2000
15$
Storage/GB
ERP / CRM WEB
2.0
Internet of things

Introducing Hadoop
TRADITIONAL RDBMS HADOOP
Data Size
Access
Updates
Structure
Integrity
Scaling
DBA Ratio

Common Scenarios

Ability to respond to new questions
How do I optimize my services
based on patterns of weather,
traffic, etc.?
What’s the social sentiment
of my product?
How do I better predict
future outcomes?

How it Works

How it Works
RUNTIME
Server Server
Server Server

Summary
Data Knowledge Action

Summary
Continued
• It is likely that you have big data – you’re definitely
capturing outcome data, and likely capturing ambient data
• All data – outcome or ambient – has value
• Today’s challenge is about unleashing insights from any
data
• Microsoft Azure HDInsight can address these challenges by
storing and processing big data
• Power BI includes authoring add-ins to query, analyze and visualize data sourced from Windows Azure HDInsight
• SQL Server can connect to, query, and consume big data results – big data is just another data source!

What is Machine Learning (ML)?
Azure Machine Learning is a suite of offerings
designed to give you the ability to easily create,
test, operationalize and manage predictive
analytics solutions all from the cloud.
Azure Machine Learning = Predictive Analytics

Machine Learning Key Features
Machine learning traditionally requires complex software,
high-end computers, and seasoned data scientists who
understand it all.
Possible for people without deep data science
backgrounds to start mining data for predictions.
Drag-and-drop gestures and simple data flow graphs to
set up experiments.
Also designed for seasoned data scientists. It supports R,
the popular open-source programming environment for
statistics and data mining.
Connected to HDInsight for to use Big Data with Azure
Machine Learning.

Examples of Machine Learning
Search engines Online recommendations
Ad targeting Virtual assistants
Demand forecasting Fraud detection
Spam filters Credit risk

Covering the Analytics Spectrum
Descriptive Diagnostic Predictive Prescriptive
What happened? Why did it happen? What will happen? What should I do?
IT Professionals
Data Modeling, ETL, Data
Warehousing, Data Marts and
Cubes
Information Worker
Self-Service &
Exploration with
Power BI
Data Scientists
Advanced Analytics from
Microsoft and 3rd parties
BI Enablement Advanced Analytics
Enterprise Data Management

How can you build a predictive model?
1
Business
Insights
2
4 3
5

Customer Targeting With Machine Learning
Problem:
• To leverage the history of a person’s behavior
on Microsoft.com to identify their interests and
predict future actions
• Predict which customers are likely to buy
Surface or Windows Phone
Methodology:
• Big Data Platform – HDP for Windows/Azure
HDInsight and Advanced Analytics support
• Develop statistical models to determine the
probability of users buying a Surface Device

New Targeting Models Developed for Surface and
Windows Phone
Total Days
Windows
Bing
KW: Microsoft
Cat: Home Page
MAC OS
KW: Microsoft Store
KW: Surface Pro
KW: Surface
•
0% 5% 10% 15% 20% 25% 30% 35%
Cat: Surface Store
Variable Importance

Results – Better Targeting increased Revenue
Better customer targeting
• Targeting coverage improved by 5% due to
predictive models and other measures!
Increased revenue from display Ads
Targeted Ads generated up to 19% of revenue
Revenue per 1000 impressions grew by over 8X
Revenue per click grew by 6X!

Azure Backup and How It Works

Azure Backup Scenarios
Windows Azure Backup lets you back up files in one of two
scenarios:
1. You can back up files from a standalone server.
2. You can back up members of Microsoft System Center
Data Protection Manager (DPM) protection groups. DPM
2012 SP1 and DPM 2012 R2 are supported.
NEW! Maximum retention of backup data for up to 9
years!

Quick recap of our discussions today

Microsoft Experience
Center
A hands-on, interactive lab helping you
and your team drive the latest Microsoft
products.
Modern Datacenter
Roadmap
Take a strategic, technology agnostic
approach to your infrastructure
operations. Get a vision, a budget, and a
plan to optimize your IT infrastructure
through a structured and systematic
process.
Azure Platform
Assessment
Get expert guidance and a clear
understanding of what the future of your
business could look like running on
Azure.

Upcoming events
• Lync & O365 | October
• Business Intelligence | November
• Dynamics CRM | December
Visit www.concurrency.com/events for details

Azure unleashed

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