The document discusses Microsoft's HDInsight platform for big data analytics. It highlights key features such as using familiar BI tools to analyze structured and unstructured data, connecting to the world's data through the Azure Marketplace, and the ability to handle any data size anywhere through simplicity and manageability. Benefits include deeper insights through integration with Microsoft data warehouses, new business insights through predictive analytics, and stronger customer relationships through social media integration. The document also provides an overview of Hadoop and the MapReduce programming model.

2. Cloud

3. Creating New Business Opportunities
GE
Revenue Business Operational
Growth Innovation1 Efficiencies
Increases ad revenue by Measures and ranks online Uses sentiment analysis and
processing 3.5 billion user influence by processing web analytics for its internal
events per day 3 billion signals per day cloud
Massive Cloud Real-Time
Volumes Connectivity Insight
Processes 464 billion rows Connects across 13 social Improves operational
per quarter, with average networks via the cloud for decision making for IT
query time under 10 secs. data and API access managers and users
1. Klout Case Study: http://www.microsoft.com/casestudies/Microsoft-SQL-Server-2012-Enterprise/Klout/Data-Services-Firm-Uses-Microsoft-BI-and-Hadoop-to-Boost-Insight-into-Big-Data/710000000129

6. McKinsey
Gartner
Forrester
Research

7. Enabling Innovating new business models,
Experimentation to products and services with
discover needs, big data
expose variability
and improve
performance
Big Data Creating Transparency
Replacing/Supporting human
decision making with
automated algorithms Segmenting populations to
customize actions

9. Data Silos HADOOP Data
Business Challenges
Repository
High Velocity
Solution
changes Internal Data through APIs
Fetcher & Parser to enrich &
Cost of Changes validate with external data
Faster Updates Cost Reduction
Solution Benefits
Solution Benefits
Full dataset refresh possible Significant reduction in
every week instead of a few validation phone calls
times per year

10. High Volume & HADOOP Real-Time
Business Challenges
High Velocity Architecture
Solution
Old solution not able to Scaleable architecture to
handle incoming volumes of support current and future
data in timely manner real-time insight needs
Faster Insights Grow with Needs
Solution Benefits
Solution Benefits
Realtime handling of the Solution scales with business
growing Volume & Velocity of needs without upfront cost
the data. Adding at least 1TB
per year.

11. High Variety & HADOOP Data &
Business Challenges
High Volume Processing Cluster
Solution
Scalable Image Library
Analyses of 30.000+ giant
images of medical scans of
Processing cluster to process
Pancreas
images
Faster Research & Cost Friendly
Solution Benefits
Diagnostical Insight Reliability
Solution Benefits
Improvement
Diagnoses can be validated
against previous diagnoses
Inexpensive data duplication
over HADOOP storage nodes
New research ideas can be
provides needed reliability
checked across full image set
improvements

12. HDInsight - Microsoft’s approach to Big Data
Immersive Insight, Connecting Any Data, Any Size
Wherever you are with the World’s Data Anywhere
Analyze Big Data with familiar tools Share your data with the world via Simplicity and manageability of
Azure Marketplace Windows to Hadoop
Immersive insights from any data
Enrich with social media data via Social Extended data warehousing with
JavaScript based simple programming Analytics Hadoop
Advanced analytics with Hadoop Scale & elasticity of cloud

13. Benefits
Familiar BI tools with structured and
unstructured data
Key Features
Hive Excel Plugin, ODBC Driver integrates
Hadoop to SQL Server Analysis Services,
PowerPivot, and Power View

14. Integration with
Microsoft Enterprise
Data Warehouses
Benefits
Deeper insights from
structured and
Integration with enterprise BI unstructured data
solutions
Key Features
Microsoft SQL Server connector SQL Server Parallel Data Warehouse
for Apache Hadoop with SQOOP connector for Apache Hadoop with
(SQL to Hadoop) SQOOP

15. Benefits
New business insights with Unlock rare patterns from bespoke data
predictive analytics from Microsoft mining models
Key Features
Hive ODBC Driver connects Hadoop Support for open source predictive
to SQL Server Data Mining tools analytics tools such as R and Mahout

16. Benefits
Sharing of data and Mashing up of internal and
insights through Windows public data sets via Data
Azure Marketplace Explorer
Key Features
Integration with Windows Integration with third-party
Azure Marketplace data and services

17. Stronger customer
relationships
Benefits
Models augmented with Integration of social
publicly available data information with
from social media sites business applications
Key Features
Social Analytics
Integration with social
media sites

18. Benefits
Microsoft HDInsight
Simplified
management of Enterprise-class Easy setup on-premises
Hadoop on Windows security and in the cloud
Smart packaging of
Key Features
Hadoop on premises
Fast deployment of
Hadoop on Azure
Integration with Integration with
Microsoft System Windows Server® 100% Microsoft Support
Center Active Directory

19. Benefits
Elastic peta-scale Enterprise-class Big Data
Microsoft HDInsight
analytics on Microsoft’s platform on-premises
cloud platform
Key Features
Hadoop-based Service on Hadoop-based distribution
Windows Azure platform on Windows Server

25. 1. Take a large problem and divide it into sub-problems
…
MAP
2. Perform the same function on all sub-problems
…
DoWork() DoWork() DoWork()
3. Combine the output from all sub-problems
REDUCE
…
Output

32. spanning relational and non-relational Worlds
INSIGHTS
SELF-SERVICE MOBILE
OPERATIONAL REAL-TIME
PREDICTIVE COLLABORATIVE
and Services
External Data
MARKETPLACE
DATA ENRICHMENT
DISCOVER TRANSFORM SHARE
AND RECOMMEND AND CLEAN AND GOVERN
DATA MANAGEMENT
1
011
01
RELATIONAL NON-RELATIONAL MULTIDIMENSIONAL STREAMING

33. Objectives
Scoping Starter Offer Who Delivers Expected Outcome
Customer Structured (+- 4/5weeks) Microsoft Define Big Data
Meeting to engagement that Consulting
discuss Big demonstrates the Company Strategy
Services &
Data Needs capabilities of the Industry Implement Big Data
& Scoping Microsoft Big Data Experts Prototype solution
for Starter platform with a prototype
Offer using real customer data