This document discusses how various organizations are using Microsoft's big data and business intelligence technologies like Windows Azure, HDInsight, and SQL Server 2012 to collect, analyze, and generate real-time insights from large amounts of data from sources like social media, medical records, equipment data, and DNA sequencing. Experts comment that these technologies allow them to understand their audiences better, analyze data faster and more intelligently, and reinvent how they work with medical records.

1. Where big data
meets the cloud
By using Windows Azure, HDInsight, and SQL Server 2012,
we can collect, analyze, and generate near real-time BI with
Big Data collected from social media feeds, GPS signals,
and data from government systems.
LLUIS SANZ MARCO
DIRECTOR OF INFORMATION
This will reinvent the way we work with medical records
in the future.
PAUL HENDERSON
BI DIVISION HEAD
Now, with HDInsight, we can use data that is produced by our
automated equipment. We can save time processing the
information and spend more time interpreting it. Microsoft
big data technology is the perfect solution for the new
challenges we face.
MORTEN MELDGAARD
PROJECT DIRECTOR
@SQLServer
@MicrosoftBI
@WindowsAzure
/SQLServer
/MicrosoftBI
/WindowsAzure
/mscloudosWhat can your data
do for you?
www.microsoft.com/datainsights
www.microsoft.com/bigdata
With Hadoop on Windows Azure, we can mine data
and understand our audience in a way we never
could before.
MARK VAYMAN
LEAD PROGRAM MANAGER, HALO SERVICES TEAM
Windows Azure is enabling us to keep up with the
data deluge in the DNA sequencing space. We’re
not only analyzing data faster, but analyzing it more
intelligently.
WU FENG
PROFESSOR OF COMPUTER SCIENCE
Excel gives users… what-if analysis in minutes instead
of days…
RON VAN ZANTEN
VICE PRESIDENT OF DATA QUALITY
Bringing big data
and BI to a billion people
Apache Hadoop
on Windows Server
from Hortonworks
SQL Server 2012 Parallel
Data Warehouse and
Hadoop on Windows
Windows Azure
HDInsight
Use Microsoft BI with data warehouse tools
on-premises or in the cloud:
Excel and Power BI for Office 365
Unlock insights on any data
Accelerate time to insights and action on data of all types and
sizes, no matter where it lives. Microsoft's approach to big data
makes it easier for everyday users to ask questions of data and
get answers.
Powerful, familiar tools
to make BI engaging
and fun
Complete data platform
that connects data
across on-premises, cloud,
and devices
Easy access to data,
big and small, to drive
the best decisions

2. Interactivity
+ exploration
Business analyst
Self-service analysis
BI professional
Advanced analysis
Data scientist
Quality and accuracy
Scale user-driven BI
Action over data
in real time
Security, governance,
and compliance
Cloud and
on-premises
Harness the power of a complete data platform
Find, combine,
and manage
To deliver insights on any data, you need a platform
that provides complete data processing and
management across relational, non-relational,
and streaming data - no matter where it is located.
With Microsoft's data offerings, users can pull
in all types of data easily, right from Excel. IT can
store, process, and manipulate this data across
sources using one single query model.
Take action
and operationalize
Reap the benefits of a complete data platform.
Work with the latest data of any size in real time.
Scale BI capabilities across all your users and
access insights from anywhere. Ensure security,
governance, and compliance. And do all of this
where you want: on-premises, cloud, or across both.
Form theories,
analyze, and refine
Put analytical power into the hands of everyone across
the company, not just analysts or data scientists, and
go from raw data to real insights quickly. Once
you’ve got these insights, collaborate on them, publish
them, and access them from anywhere to help you
make better business decisions.
Easy access to data,
big and small
Search, access, and shape
internal and external data
Combine different
data types
Simplify management
Easily access all data using
one query model
Unstructured
Streaming
Structured Discover and combine
Model and analyze
Visualize and interact
Connect and collaborate
SQL Server
Single query model Extract, transform, load Data quality Master data management
DATA ENRICHMENT & FEDERATED QUERY
Relational Non-relational Analytical Streaming Internal & external
DATA MANAGEMENT & PROCESSING
Scalability Virtualization Security & Identity Quality of service
INFRASTRUCTURE
Self-service Corporate Collaboration Mobile Predictive
BI & ANALYTICS