Big data. Small data. All data. You have access to an ever-expanding volume of data inside the walls of your business and out across the web. The potential in data is endless – from predicting election results to preventing the spread of epidemics. But how can you use it to your advantage to help move your business forward? Drive a Data Culture within your organisation Keynote include Ric Howe & Anthony Saxby

1. DATA CULTURE
SERIES

2. ?
Who is using Data to drive the future of their business?
a)Yes
b)No
c)Not sure

3. ?
Who is using Predictive Analytics / Machine Learning yet?
a)Yes
b)No

5. Date
Location
16 September
READING
Data Culture series
10 November
LONDON
FUTURE DECODED
27 November
READING
Data Culture Series
3 December
READING
Data Culture Series -first Azure Data Services track inclusion
27 January
LONDON
Data Culture series
24 February
LEEDS
Data Culture series
24 March
EDINBURGH
Data Culture series
8 April
BIRMINGHAM
Data Culture series
12 May
READING
Data Culture series
19 May
LONDON
Data Culture series

6. UK Business Lead for Data Insights
6
Jon Woodward : Connect & Follow
6
@JLWoodward
www.linkedin.com/in/jonathanwoodward
#DataCulture
PowerBI
APS
AzureML
DocumentDB
Search
EventHub
Stream Analytics
Hadoop

7. #DataCulture
Interact & Post questions for the Panel

8. Time
Location
10:30 –11:30
Keynote
Ric Howe
Anthony Saxby
11:30 –12:30
Big Data
Data Science
Business Intelligence
Data Insights
Azure Data Services
Immersion Tracks -Overview
12:30 –13:15
Lunch & Expo
13:15 –16:30
Immersion (as above)
Immersion Hands on
15:00 -15:15
Break &Expo
15:15 -16:30
Immersion (as above)
Immersion Hands on
16:30 –17:00
Panel and Close
17:00
Finish

9. But what is Data Culture?
1.Putting Data at the heart of the organisational thinking
2.Being Data Driven –Taking decision using Data
3.Putting Data into the hands of as many employees as possible
4.Leverging data from the Edge
5.Empowering individuals to leverage their own data and self- serve against organisational data sets
6.Driving Data Culture from the top inc board level sponsor for Data (Chief Data Officer)
7.Leverging Data and Data Science to change your business models and to better compete against your peers

10. The Age of Data Culture

13. people
analytics
data

14. data culturefor everyone
Organization
Department
Individual
People
IT
Developers

15. ubiquitous computing + ambient intelligence

16. data fuel forambient intelligence
data exhaust fromubiquitous computing

17. technology gap

18. platform for ambient intelligence

21. [
]

22. speed
[

23. speed
[

24. speed
[
speed
[

25. data
speed
[

26. speed
[

27. speed
[

28. speed
[
speed
[

29. speed
[

30. Data Science is far too complex today
Software Development
Data Exploration
Math & Statistics Knowledge
Machine Learning
Data Management
this must get simpler,
it simply won’t scale!

31. Excel, Power BI for Office 365
speed
[
[

36. travel expenses

37. newest
Azure Machine Learning
Power BI Dashboards
Azure Intelligent Systems Service
Azure Data Factory

38. data platform
Office
Azure
SQL Server 2014
Excel
SharePoint
Power BI
Storage
SQL Database
Intelligent Systems Service
HDInsight
Machine Learning
Data Factory
Analytics Platform System

39. data culturefor everyone

41. Modernising your Data Platform
Anthony Saxby
Cloud Data Platform Lead
Microsoft UK

42. Big data
26B
By 2020, IoT will include 26B
units, creating large quantities
of data & generating >$300B
in revenue for IoT suppliers
Mobility Apps Cloud
>50%
More than half of information
workers across 17 countries
report using 3+ devices
for work
25%
one quarter of external app
implementation spending
will be on mobility, cloud,
analytics, & social, by 2016
~50%
nearly half of total IT spend
will be cloud-related
by 2020
Devices: “Info Workers Will Erase Boundary Between enterprise And Consumer Technologies.” Forrester Research. August 30, 2012
Apps: Gartner: “Predicts 2013: Business Impact of Technology Drives the Futures Application Services Market.” Nov. 21, 2012
Big data: Paraphrased from "The Impact of the Internet of Things on Data Centers." Gartner Research, Feb 27, 2014
Cloud: “Prepare For 2020: Transform Your IT Infrastructure And Operations Practice.” Forrester Research. Oct. 24, 2012

43. Cost
Agility
Service Levels

44. Performance
CPU Performance Flattening Out
Decreasing Cost of Memory
$/GB of Memory
1
10
100
1,000
10,000
100,000
1,000,000
1990
1991
1992
1993
1994
1994
1995
1996
1997
1998
1999
2000
2000
2001
2002
2004
2005
2007
2008
2009
2011
US$/GB
0
1
10
100
1,000
10,000
100,000
1,000,000
10,000,000
1970
1975
1980
1985
1990
1995
2000
2005
2010
44

45. Drive Real-Time Business with Real-Time Insights
Over 100x query speed and significant data compression with
In-Memory ColumnStore
Up to 30x faster transaction processing with In-Memory OLTP
Greater performancewith In-Memory Analysis Services
Billions of rows per second with PowerPivot In-Memory forExcel
45
Faster Insights
IN-MEMORY ANALYTICS
Faster Queries
IN-MEMORY DW
Faster Transactions
IN-MEMORY OLTP

47. The entire DB doesn’t need to be In-Memory
10x
Faster performance
In-Memory Flexibility
Key Benefits
Minimize capex as data volumes grow
Access In-Memory and on-disk with a single query
Don’t need to rewrite entire app
with scalability and reduced operating costs
Exponential growth
On-Disk
Application
Warm and hot data
Cold Data
Single Query
47

48. In-Memory
OLTP
35x faster performance
Games
No locks and latches
“SQL Server 2014 has no lock and latch problem, meaning it can increase CPU usage up to 90 percent.
What was even more surprising was that it ensured seamless handling of all requests without an error, even when CPU usage exceeds 90 percent.”
-Lee Sangbong, Deputy Chief, CJ E&M Database Team

49. Key Benefits
Quickly explore massive data volumes
Dramatically compress data
Over 100x faster query performance
Accelerated Analytics with In-Memory
“It can take up to 3 hours to aggregate data from billions of table rows…. (Now) it takes 45 minutes to update the index, and then reports can be run on-demand with sub-second response.”
-Kevin Cornett, Stein Mart
Faster time to insights
Advanced data compression
In-Memory ColumnStore
Advanced Analytics with InMemory
49
10,800xfaster queries
340x faster queries
2,400xfaster queries

50. PHYSICAL HARDWARE LAYER
DATACENTRE A
PHYSICAL HARDWARE LAYER
SQL 2000
SQL 2000
SQL 2008r2 SQL 2005 Cluster SQL 2005
SAN (High I/O Capacity)
DATACENTRE B
SQL 2005 Cluster SQL 2000 SQL 2000
SAN (High I/O Capacity)
SQL 2005
SQL 2005
SQL 2008r2 SQL 2008r2
SQL 2012 BI
Timeline
220001012458069
SOQrLa 2c0l0e0
SSQQLL 2 02102 1B2I
Enterprise
SSQQLL 2 02102 1B2I
Enterprise

51. Virtualisation Overhead Reducing
Proven SQL Server performance on an enterprise-class hypervisor
0
0.2
0.4
0.6
0.8
1
0
200
400
600
800
1000
4
8
16
32
64
Average Transaction Response Time (Sec)
Transactions/Sec
Virtual Processors Per VM
Hyper-V Virtual CPU Scalabilitywith OLTP Workloads
Enterprise Strategy Group
Tested an existing SQL Server 2012 OLTP workload that was previously vCPU limited
Increased Scale & Performance
With Hyper-V’s support for 64 vCPUs per VM, testing showed a 6x performance increase, with a 5x improvementin transaction response time.
2,870 SQL Server batch requests per secondwere recorded during the 64 vCPUtest. Microsoft documentation states “over 1,000 batch requests per second indicate a very busy SQL Server”
0
500
1000
1500
2000
2500
3000
3500
4
8
16
32
64
Batch Requests/Sec
Virtual Processors Per VM
Hyper-V Enabled SQL Batch Request Scalability
0
200
400
600
800
1000
1200
1400
1600
Physical
Virtual
Transactions/Sec
Hyper-V OLTP Workload Analysis
The 2 tests showed just a 6% differencebetween the brokerage application running on physical vs. virtual

52. APP
APP
APP
VM IO
Random IO
But… HDD-based system are optimized for sequential IO
VM
VM
VM
“IO Blender” effect
Virtualizing/consolidating randomizes IO
Flash Storage removes this constraint allowing greater density levels and guaranteed performance

53. VirtualisationUse Case
•Performance problems due to slow SAN
•Wanted to use Always-on replication with Private Cloud

55. Hybrid Cloud Data Platforms
55

56. Migrate Existing SQL Server Apps
56
Key Benefits
Low TCO for existing apps
New Migration Wizard
Familiar development tools
“We could just pick up our SQL installs, move them over to Azure VMs, and pick up where we left off."
Adam Salvo, Trek
OPTION 1
OPTION 2
VHD
Database
P2V
V2V
Fast, easy scalability
Cut IT hosting costs by
$15Kper month

57. SQL Server Develop & Test in the Cloud 57
Key Benefits
Reduce project overhead
Speed time to market
Secure, redundant source code
“Telenor saved 70% on test, development and demo that could be turned off when finished to minimize their capital outlays,”
Marius Pedersen, Telenor Group
70% savings
Ready in hours, not weeks
Noresource limits
SQL Server Dev Tools On-Premises
Development Work Stations
SQL Server On-Premises
Deploy
SQL Server in a Windows Azure Virtual Machine
Test
TFS in Windows Azure

58. On-premise network
Backup and DR in the Cloud
58
Key Benefits
Reduce CAPEX & OPEX
Low RTO disaster recovery
Speed global BI reporting
“Recovery times have dropped from minutes to seconds… We’re seeing almost no data loss.”
Speaker, Company
Recover in seconds
Significant costreductions
Windows Azure
Secondary replica
Run backups
Domain controller
Primaryreplica
Asynchronous commit
Run BI reports
VPN tunnel (Windows Azure Virtual Network)
Secondary replica
Synchronous commit

59. Create Hybrid Apps
59
Key Benefits
Reduce CAPEX & OPEX
Improve isolation ofinternal assets
Greater global reach
“We now have the capacity to add a lot more players and operators while not losing any application responsiveness”
Thomas Pullen, BetOnSoft
Improved availability & scalability
10x
the workload with real-time analytics
In-House Data Center
Azure-Hosted Marketing Apps
Offloaded
BI Workloads
Metrics &
Monitoring Apps
Metrics Databases
Viral MarketingDatabases
OLTP DB
AlwaysOn Primary
AlwaysOn Synchronous Replicas
Readable Secondaries
Windows Azure
Azure-Hosted Marketing Apps
SQL Server 2012 AlwaysOn Cluster

60. Complete and consistent data platform

61. Explore the latest in SQL Server
Visit www.microsoft.com/sqlto learn more about our latest innovations
Evaluate SQL Server 2014
Get hands on –visit Microsoft’s TechNet evaluation center and evaluate SQL Server 2014 today!
Evaluate Windows Server 2012 R2
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