From Numbers And Data To
Insights And Value
Microsoft Solutions for Big Data | Oct 17th 2013
Roger Breu
SQL Server PDW Solution Sales
Microsoft Western Europe
roger.breu@microsoft.com
The world of data has changed
10x
4.3
increase
every five
years
connected
devices
per adult
85%
from new
data types
Data
explosion
Consumerization
of IT
27%
using social
media input
The Large Hadron Collider
produces 1 PB/sec
But, my customer isn’t CERN and
doesn’t have a Large Hadron
Collider…
But your customers do have…
Sensors
Clicks
Logs
Transactional
records
Call centers
Images
Documents
Signals from
social media
Simulations
A Definition
Traditional Data is
Highly Structured
traditional databases are organized
around planned queries
Big Data is All This and More:
volume, variety, velocity
(and volatility & variability)
Common Big Data Customer Scenarios
IT infrastructure
optimization
Legal
discovery
Social network
analysis
Traffic flow
optimization
Web app
optimization
GAIN COMPETITIVE ADVANTAGE BY MOVING
FIRST AND FAST IN THEIR INDUSTRY
Churn
analysis
Fraud
detection
Life sciences
research
Natural resource
exploration
Weather
forecasting
Healthcare
outcomes
Advertising
analysis
Equipment
monitoring
Smart meter
monitoring
Twitter Analytics Demo with Microsoft Excel
Demo
Is this Big Data?
Is this Enterprise Ready?
Big Data is more than just new BI!
Big Data is more than just Hadoop!
The Big (Data) Picture, 4 main topics:
Alerts, Notifications
SQL Server
StreamInsight
Big Data Sources
(Raw,
Unstructured)
Data & Compute
Intensive Application
SQL Server FTDW
Data Marts
Load
Sensors
Summarize &
Load
SQL Server
Reporting Services
Fast
Devices
HDInsight on
Windows Azure
Bots
Business
Insights
HDInsight on
Windows Server
SQL Server Parallel Data
Warehouse
Historical Data
(Beyond Active Window)
Interactive
Reports
Integrate/Enrich
SQL Server
Analysis Server
Crawlers
Performance
Scorecards
Azure Market
Place
Enterprise ETL with
SSIS, DQS, MDS
ERP
CRM
LOB
Source Systems
APPS
The Traditional Data Warehouse
… data warehousing has reached the most
significant tipping point since its inception.
The biggest, possibly most elaborate data
management system in IT is changing.
– Gartner, “The State of Data Warehousing in 2012”
Data sources
14
The Traditional Data Warehouse
2
1
Increasing
data volumes
3
Real-time
data
New data
sources & types
Data sources
Non-Relational Data
4
Cloud-born
data
15
The Modern Data Warehouse

Data sources
Non-Relational Data
Combining Structured and Semistructured Data with SQL Server PDW
and Polybase
Demo
Combining Structured and Semistructured Data with SQL Server PDW
and Polybase
Demo
And remember, it’s not just
working with Twitter data 
DATA SYSTEMS
APPLICATIONS
Socket for Big Data: Hadoop Access Made Simple
SQL Server PDW
Microsoft Applications
HDInsight
CREATE TABLE Customers ([user_id] INT, name NVARCHAR(50)…
DATA SOURCES
CREATE EXTERNAL TABLE ClickEvent
(url varchar(50), event_date date, user_ID varchar(50) )
WITH LOCATION
=‘hdfs://MyHadoop:5000/clickstream/click.txt’;
SELECT COUNT(*) FROM Customers cNew Sources
Traditional
Sources
JOIN
ClickEvent
e ON
(web logs, email, sensor data,
(RDBMS, OLTP,
OLAP)
c.[user_ID]
= e.[user_ID]
social media)
WHERE c.Name = 'Jones';
Polybase
Feature in SQL PDW
Pillars of Microsoft’s Big Data Strategy
Simplicity & Manageability
Combine internal and
external data
Broaden accessibility of Big
Data Analytics to all users
Develop once, deploy onpremises or in the cloud
Whats in it for you as Partner?
Data Platform market is estimated to grow 9% YoY
Business Intelligence market growing 16.4% YoY
Data Warehousing growing 13.5% YoY
Big Data market estimated to grow 39.4% YoY
Source: IDC
Software
Consulting
Hardware
Whats in it for you as Partner?
Leverage pre-engineered Data Warehouse and Hadoop
Appliance solutions from Microsoft (and it’s hardware partners)
• De-risk your projects
• Streamline deployments
• Modernize your customers Data Warehouse/BI
Environments >> Make them Big Data Ready!
Leverage and connect the cloud
• Streamline deployments
• Decommission fast if smaller hadoop (HDInsight) cluster is
sufficient
Thank you
© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft
Corporation as of the date of this presentations. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT
MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
Additional Resources
• SQL Server Parallel Data Warehouse (PDW) Landing Page:
•
www.microsoft.com/PDW
• Microsoft Big Data Landing Page:
•
www.microsoft.com/bigdata
• Introduction to Polybase:
•
http://www.microsoft.com/en-us/sqlserver/solutions-technologies/datawarehousing/polybase.aspx
• Twitter Analytics for Excel:
•
http://extendedresults.com/products/twitteranalytics/