A presentation we gave together with Microsoft at the latest inspirience days in Belgium.

2. Cloud

3. Creating New Business Opportunities
Revenue
Growth
Increases ad revenue by
processing 3.5 billion
events per day
Massive
Volumes
Processes 464 billion rows
per quarter, with average
query time under 10 secs.
Business
Innovation1
Measures and ranks online
user influence by processing
3 billion signals per day
Cloud
Connectivity
Connects across 13 social
networks via the cloud for
data and API access
Operational
Efficiencies
Uses sentiment analysis and
web analytics for its internal
cloud
GE
Real-Time
Insight
Improves operational
decision making for IT
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. Gartner
McKinsey
Forrester
Research

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

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

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

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

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

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

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

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

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

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

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

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

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

32. spanning relational and non-relational Worlds
NON-RELATIONAL
1
0
0
11
1
DATA MANAGEMENT
SHARE
AND GOVERN
DISCOVER
AND RECOMMEND
TRANSFORM
AND CLEAN
INSIGHTS
DATA ENRICHMENT
OPERATIONAL
SELF-SERVICE MOBILE
PREDICTIVE
REAL-TIME
COLLABORATIVE
MARKETPLACE
ExternalData
andServices
RELATIONAL MULTIDIMENSIONAL STREAMING

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

34. At your service