Download Microsoft Big Data Solution datasheet

Microsoft Big Data Solution
Key Benefits

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Immersive insight, wherever you
are, on any data with familiar
Microsoft® Office and business
intelligence (BI) tools.
Connecting with the world’s data
to unlock hidden patterns through a
combination of internal and publicly
available data and services, including
social media sites.
Any data, any size, anywhere
through a modern data management
platform that supports structured,
unstructured, and real-time data with
the simplicity of Microsoft Windows®
and SQL Server, and the elastic
scalability of the cloud.
Customer Challenges
Today, organizations are struggling to
gain business insight from the
unprecedented volume of data they are
capturing from internal and external
sources, including social media sites.
They want to easily mine, process, and
analyze these huge amounts of
unstructured data (such as files, images,
videos, blogs, clickstreams, and geospatial data) in real time, without
worrying about the required setup.
Organizations are looking for an open
and flexible platform that enables them
to deploy their solution on-premises or
in the cloud.

Flexible data management layer
that supports all data types—
structured, semi-structured, and
unstructured data at rest or in
motion.

Enrichment layer for discovering,
transforming, sharing, and governing
data.

Compelling suite of BI tools to help
users gain insight from analytics.

Deeper insights that combine an
organization’s data with data and
services from external sources. (The
figure below shows the complete Big
Data solution.)
Microsoft for Big Data
Microsoft was taking advantage of Big
Data long before it was popular. For
example, Microsoft Bing™ analyzes over
100 petabytes of data to deliver highquality search results.
Organizations can use the Microsoft Big
Data solution to unleash business
insights from their own structured and
unstructured data through familiar tools
like Microsoft Office and SharePoint®. It
also enables customers to uncover new
value by connecting to the world’s data
and services.
Microsoft has a comprehensive Big Data
strategy to address the following key
customer requirements:
parties through the Open Data
Protocol (OData).
Solution Advantages
Key advantages of the Microsoft Big
Data solution are as follows:

Immersive Insight, Wherever You
Are
Get actionable insights from all your
structured and unstructured data using
familiar BI tools.



Analyze Hadoop data with familiar
tools: Interact with and analyze
unstructured data in Hadoop from
the familiar environment of
Microsoft Excel® with the Hive add-in
for Excel.
Get immersive insights from any
data: Use familiar BI tools like
Microsoft SQL Server® Analysis
Services (SSAS), PowerPivot, and
Power View through the Hive Open
Database Connectivity (ODBC) Driver
to analyze unstructured data in
Hadoop. Enable self-service BI
offerings on relational data using
PowerPivot and Power View in SQL
Server 2012.
Drive insights through simplified
programming: Simplify
programming on Hadoop through
integration with .NET and new
JavaScript libraries. Developers can
use the new JavaScript libraries to
easily write MapReduce programs in
JavaScript, and then deploy their
JavaScript code from a simple
browser.

Manage data of all types through a
modern data platform. Enjoy the
simplicity of Windows and SQL Server
for Hadoop, extend your data
warehouses with Hadoop, and take
advantage of the elastic scalability of the
cloud with Big Data.

Unleash breakthrough discoveries by
combining your data with publicly
available data and services, including
social media sites. Uncover hidden
patterns using the applications and
mining algorithms on Windows Azure™
Marketplace.
Share and collaborate via
Windows Azure Marketplace:
Share data and uncover new insights
through Windows Azure
Marketplace, exposing hundreds of
applications and data mining
algorithms from Microsoft and third
Perform advanced analysis with
Hadoop: Support for traditional BI as
well as advanced analytics enables
you to unlock new value from your
data. The Hive ODBC Driver enables
predictive analysis of data using SQL
Server Data Mining tools. Other
predictive analytical tools, like
Mahout, are supported along with
customized mining algorithms
written in C++, C#, Python, Ruby,
and Pearl.
Any Data, Any Size, Anywhere
Connecting with the World’s Data

Integrate with social media: Enrich
your analysis with publicly available
data from social media sites (such as
Twitter and Facebook). A Microsoft
cloud-based project, codenamed
"Social Analytics," allows you to
integrate information from social
media with business applications.

Get the simplicity and
manageability of Windows and
SQL Server for Hadoop: Install and
set up Hadoop on Windows in less
than three hours instead of in weeks
using smart packaging from
Microsoft. Accelerate your
deployment further with the cloud
by deploying Hadoop in only 10
minutes with the Hadoop-based
service on Windows Azure.
Integration with Microsoft System
Center allows IT to easily manage
their Hadoop clusters just like any
other IT asset. Integration with Active
Directory® enables IT to secure their
Hadoop cluster using enterprisebased security policies.
Extend the data warehouse with
Hadoop: Two new bidirectional
Hadoop connectors, one for SQL
Server and one for SQL Server
Parallel Data Warehouse, enable easy
integration of Hadoop with Microsoft
Enterprise Data Warehouses and BI
solutions to gain deeper business
insights from structured and
unstructured data.

Gain the scale and elasticity of the
cloud: We offer two options for
deploying Hadoop—in the cloud or
on-premises. The Hadoop-based
service on the Windows Azure
platform offers elastic peta-scale
analytics on the Microsoft cloud
platform.
Giving Back to the Hadoop
Community
Unlike other competitors, Microsoft is
broadening access by giving back to the
Hadoop community through proposed
changes to Apache Hadoop. In
partnership with Hortonworks, Microsoft
has already submitted its first proposal
to Apache and is working on further
proposals on new JavaScript libraries for
Hadoop (being developed by Microsoft),
as well as the Hive ODBC Driver.
Additional Information
Get more information on Microsoft’s Big
Data solution:
www.microsoft.com/bigdata
www.windowsazure.com/enus/home/scenarios/big-data/
Download the Microsoft SQL Server
Connector for Apache Hadoop:
http://www.microsoft.com/download/en
/details.aspx?id=27584
Big Data will earn its
place as the next “must
have” competency in
2012.
- IDC, Predictions for 2012: Competing for 2020,
December 2011