Roadmap deck showing the newest capabilities of SQL Server 2017 including SQL Server on Linux, R/Python services, graph, adaptive query processing as well as new Azure services like Cosmos DB and Azure Database for PostgreSQL and MySQL.

2. SQL Server 2017
Power your entire data estate from on-premises to cloud

3. Widely available
unstructured data
Deliver powerful insights
over big data
Massive
data growth
Build data
into all your apps
50ZB
1010
0101
0010
{ }
Analytics driving
digital transformation
Modernize your apps
with built-in analytics
New opportunities
in a changing data landscape

4. 67
Years
25
Years
15
Years
1920 1930 1940 1950 1960 1970 1980 1990 2000 2010's 2020's
The time to adapt to disruption is shrinking
Source: BBC
A hundred years ago, the average lifespan of a
company listed on the S&P 500 index was 67 years
In the 2020s, 75% of the
S&P 500 will be new companies

6. Business
leaders
are focused
on disruption
Enable business agility
Re-imagine
business processes
Disrupt with
new business models
Differentiate with
customer experience

7. Securing and integrating
heterogeneous systems
Investing to modernize
legacy systems
Delivering on increasing
performance/price demands
Providing predictive analytics
with diverse data
But harnessing
technology to
disrupt isn’t easy

8. The complete modern data estate
Structured
Unstructured
OLTP
MOBILE
ERP
LOB
Graph
Social
IoT
Media
DATA SOURCES DATA INSIGHTS
Datavirtualization
DATA MANAGEMENT
Dataintegration
SECURITY
FLEXIBILITY
Business intelligence
Advanced Analytics
& AI
Big data processing
Data warehousing
Operational data
Choice of platform, language, location
Secure data, access, application

9. SQL Server
POWERING YOUR DATA ESTATE

10. Power your entire data estate with SQL Server 2017
Business intelligence
Advanced Analytics & AI
Analytics
at a fraction
of the cost
on any
device
1M predictions
per second
0
50
100
150
Vulnerabilities
(2010-2016)
Structured
Unstructured
OLTP
MOBILE
ERP
LOB
Graph
Social
IoT
Media
Microsoft Tableau Oracle
$120
$480
$2,230
DATA SOURCES DATA INSIGHTS
DatavirtualizationPolyBase
DATA MANAGEMENT
DataintegrationSSIS
Big data processing
Data warehousing
Operational data
#1
performance
in TPC-HScale to petabytes
T-SQL query
over any data
1010
0101 { }
Leader
in TPC-E
#1
#2
#3
Least vulnerable
over the last 7 years
R
PB
Any language,
any platform, anywhere
Support for
R and Python
An industry leader
four years in a row
+
SECURITY
FLEXIBILITY
SQL Server SAP HANA PostgreSQL IBM DB2 Oracle MySQL
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only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
National Institute of Standards and Technology Comprehensive Vulnerability Database update 2017.
TPC-H non-clustered results as of 2017 respectively. http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster
.NET Azure 3rd
JAVA

11. • Linux distributions including
RedHat Enterprise Linux (RHEL),
Ubuntu, and SUSE Enterprise
Linux (SLES)
• Docker: Windows & Linux
containers
• Windows Server / Windows 10
• Package-based installation,
yum install, app get, and more
Power of SQL Server on the platform of your choice
Linux
Linux/Windows container
Windows
FLEXIBILITY

12. • Run the world’s leading data
platform on any environment
• Works on any operating system
including Windows, Linux,
Docker
• Runs on any cloud including
Azure, 3rd party hosting
providers
Run SQL Server anywhere
FLEXIBILITY
SQL Server
2017
Azure 3rd
Any platform, any cloud

13. Demo

14. Industry-leading performance with SQL Server 2017
DATA MANAGEMENT // OPERATIONAL DATA
• Improve transactional
performance with row-based in-
memory OLTP
• Speed analytics and reduce
storage needs with
ColumnStore compression
• Combine for real-time
operational analytics (HTAP)
• Speed query performance
without tuning using new
Adaptive Query Processing
• Maintain performance when
making app changes with
Automatic Plan Correction
0100101010110
In-memory
ColumnStore
In-memory
OLTP
ETL
Real-time operational analytics with hybrid transactional-analytical
processing (HTAP)
Challenge to
manage massive
credit card data
Pair active data with
In-Memory OLTP table
for quick access
Speed performance by
compressing data in In-
memory Columnstore
Faster queries and
processing enables real-
time detection of errors

15. Automatic Plan Correction
DATA MANAGEMENT // OPERATIONAL DATA
Regression
Good
 Detect and notify query plan
regressions
 Option to automatically fix
switching o last good known
query plan

16. Adaptive Query Processing: One example
DATA MANAGEMENT // OPERATIONAL DATA
 Other examples: adaptive joins,
interleave execution,…
Before
Spill Spill
Now
Learn

17. Always On new hybrid HA scenario
• Always On groups for Linux
and Windows for HA and DR
• New flexibility for HA
architectures
• Ultimate HA with OS-level
redundancy and failover
• Load balancing of readable
secondaries
Mission critical HA on any platform
DATA MANAGEMENT // OPERATIONAL DATA
• High Availability
• Offload Backups
• Scale BI Reporting
• Enables Testing
• Enables Migrations

18. • Achieve petabyte data
warehouse scale with MPP and
SMP architectures
• #1 price/performance in 1TB,
10TB and 30 TB TPC-H non-
clustered benchmark
• Reference architectures from
major hardware partners
Petabyte-scale data warehousing
DATA MANAGEMENT // DATA WAREHOUSING
24 TB of memory Windows Server max cores
Max scale with Windows Server 2016

19. • Bring new graph data support
to your relational data to store
and analyze new types of
relationships
• Query data stored in Hadoop
with PolyBase
• Hadoop combined with
SQL Server provides value
and insight from data lakes
The power to query over any type of data
DATA SOURCES
Graph data support
Quarterly business
review
Andy
Smith
Mary
Jones
Denny
Usher
Bill
Brown
Rachel
Hogan
Sue
Daniels
Product dev project IT assessment
Jake
Marks
Eric
Mears
Michelle
Burns
HR team can determine
which staff are working
on which projects
Projects
Associates
Managers

20. Demo
Graph support in SQL Server 2017

21.  Mobile Reporting native on iOS,
Windows, Android mobile
devices using HTML5
 Online and offline reports
 Updated VS Report Viewer
NEW*
Free developer component
Bring your data to life with reporting anywhere
DATA INSIGHTS // BUSINESS INTELLIGENCE

22. • Modern connectors for
big data sources, additional
databases, Azure stores, and
diverse modern data sources
• Fast time to insights with rich
data transformations and
mashups
• In-memory performance
Analyze diverse data with powerful modelling
DATA INSIGHTS // BUSINESS INTELLIGENCE
Get customer
social data on
favorite cruises
Combine latest
ship occupancy
rates with
historic results
Compile KPIs Compare
responses to
two cruise
itineraries
Itinerary B is
more successful
– launch route
Create tabular models from modern data sources
& perform additional transformations
SSASModern data
sources such as:
Visualize
Excel
Tableau
Power BI
Facebook
Data analysisTransform
Sentiment
Churn
Revenue
MySQL
Azure Blob
MailChimp
Files
RedShift

23. • Support for R and now Python
languages enables users to work
with preferred tools and push
intelligence to where data lives
• Parallelized and at scale
• Industry-leading innovation in
artificial intelligence to
discover insights faster
• Advanced machine learning
algorithms with GPUs
The first commercial database with AI built-in
DATA INSIGHTS // ADVANCED ANALYTICS
Predicting loan defaults
Store
Predictions
In-memory
OLTP
ColumnStore Power BI
dashboard
R
Business user
Prepare
for analytics
Visualize
Data from 8M
vehicle loans
Predicts loan
defaults
Age, original balance, interest rate,
loan remaining months, credit score
1M
predictions
per sec
Python

24. Demo
Python support in SQL Server 2017

25. Microsoft Azure
POWERING YOUR DATA ESTATE IN THE CLOUD

26. The Azure data estate
Business intelligence
Advanced Analytics & AI
Any language, any platform, anywhere
Structured
Unstructured
OLTP
MOBILE
ERP
LOB
Graph
Social
IoT
Media
DATA SOURCES DATA INSIGHTS
DatavirtualizationPolyBase
DATA MANAGEMENT
DataintegrationSSIS
Big data processing
Data warehousing
Operational data
SECURITY
FLEXIBILITY .NET Azure 3rd
JAVA
Azure
HDInsight
Azure
SQL Data Warehouse
Azure
Data Lake
Azure
Document DB
Azure
SQL Database
Power BI and
Power BI
Embedded
Azure
Machine Learning
Azure
Stream Analytics
Azure
Cognitive Services
More certifications than any other cloud provider

27. Infinite scale with Azure SQL Database
Increased
productivity
Faster time
to market
Reduced risksLower TCO
47% staff hours
reclaimed for other tasks
“Now, those people can do
development and create more
revenue opportunities for us.”
75% faster app
deployment cycles
“We can get things out faster
with Azure SQL Database”
53% less expensive
than on-prem/hosted
“To be able to do what we’re
doing in Azure, we’d need an
investment of millions.”
71% fewer cases of
unplanned downtime
“The last time we had downtime,
a half a day probably lost us $100k”
Other
Azure SQL
Database
DB management hours
DATA MANAGEMENT // OPERATIONAL DATA

28. • Built on the same infrastructure
services as Azure SQL Database
• Built-in high availability
• Point in time restore
• Use all the tools, frameworks you
are familiar with
Azure Database for MySQL and PostgreSQL

29. Azure Document DB Cosmos DB
Limitless scale Guaranteed
availability
Multi-model,
multi-API
Effortless
maintenance
Scale up and down
on the fly with
unlimited storage
and throughput
Rest easy with 99.99
availability and fiv
ewell-defined
consistency levels
Avoid handling
schema or partitions
with a fully managed
Azure service
Familiar SQL syntax,
REST APIs and SDKs.
Store graph, doc, and
key-value data.
Leading TCO
Spend less by
dodging dev/ops
expenses and buying
only what you need
DATA MANAGEMENT // OPERATIONAL DATA

30. Fully managed Azure SQL Data Warehouse
DATA MANAGEMENT // DATA WAREHOUSING
Market leading price/
performance
Elastic scale & performance End-to-end platform built
for the cloud
• Scales to petabytes of data with
MPP processing
• Resize compute nodes <1 minute
• Faster time to insight than other
SMP offerings
• Designed for on-demand workload
• Integrated with Azure platform and other
Microsoft services
• Enables hybrid solutions
• Built on SQL Server experience & technology
• Simple compute & storage billing
• Pay for what you need
• High performance without rewriting apps
• Low cost for latent data
• Infrastructure, management and
support provided

31. • Get the most of your data with
Azure Data Lake storage and
Azure HDInsight analytics
service together
• Store big data of any size and
type on Azure Data Lake
• Analyze big data with
familiar open-source tools
with Hadoop on HDInsight
• Rest assured with leading SLA
Power intelligent action with Azure HDInsight and Azure Data Lake
DATA MANAGEMENT // BIG DATA
Data Lake Analytics
On-demand analytics
job service
Data Lake Store
No limits data lake
HDInsight
Managed clusters
HDFS
YARN YARN

32. • 5,000,000+ subscribers from
200,000+ organizations
• Live dashboards provide a
360º view of your business
• Track your data in real-time
with support for streaming data
• Drill through to underlying
reports to explore in more detail
• Pin new visualizations and
KPIs to monitor performance
Experience your data with Power BI
Any data, any way, anywhere
Stream
Analytics
Machine
Learning
Statistical
Analysis
Intelligent
Apps
INTELLIGENCEMICROSOFT CLOUD
NON-MICROSOFT CLOUD
ON-PREMISE DATA
DATA INSIGHTS // BUSINESS INTELLIGENCE

33. • Greater licensing flexibility –
report viewers are not licensed
per use
• Greater scale and performance
via dedicated hardware
• Power BI Apps – scenario-based
solutions for common datasets
• Power BI Report Server – on
premise Power BI
• Free tier of Power BI now has
some of the capabilities
previously only available in Power
BI Pro
Power BI Premium
• Announcing

34. Data
Sources
Apps
Sensors
&
Devices
People
Data Intelligence
Cortana Intelligence
Action
Apps
Automated
systems
Transform data into action with Cortana Intelligence Suite
DATA INSIGHTS // ADVANCED ANALYTICS & AI

35. Microsoft Data
Platform
POWERING YOUR DATA ESTATE
ON PREMISES AND IN THE CLOUD

36. • Develop once and deploy
anywhere
• Common tools for development
and management
• Common T-SQL surface area
• Simple cloud migration
• Single vendor for support
Consistent data platform across on-premises and cloud
FLEXIBILITY
On-premises
IaaS
PaaS
R

37. • New Azure SQL Database preview
with instance-level control for
greater security and flexibility
• New database migration
service helps move your data
from legacy databases to SQL
Server in an Azure VM or Azure
SQL Database
• Sign up for private preview now
Easy cloud migration
FLEXIBILITY
01010010
10100101
11101001
Database migration service preview

38. The SQL Server and Azure data estate combined
Business intelligence
Advanced Analytics & AI
Any language, any platform, anywhere
Least vulnerable data platform, with more certifications than any other cloud provider
Structured
Unstructured
OLTP
MOBILE
ERP
LOB
Graph
Social
IoT
Media
DATA SOURCES DATA INSIGHTS
DatavirtualizationPolyBase
DATA MANAGEMENT
DataintegrationSSIS
Big data processing
Data warehousing
Operational data
SECURITY
FLEXIBILITY .NET Azure 3rd
JAVA
Power BI
Embedded
Azure
Machine Learning
Azure
Stream Analytics
Azure
Cognitive Services
SQL Server
Reporting Services
and Mobile BI
SQL Server Analysis
Services and R built-in
Azure
HDInsight
Azure SQL
Data Warehouse
Azure
Data Lake
Azure
Document DB
Azure
SQL Database
SQL Server
SQL Server
Data Warehouse
Apache
Hadoop
ON-PREM CLOUD

39. Microsoft data platform
INTELLIGENT TRUSTED FLEXIBLE

40. Customer Experience
Wikus Combrinck

42. Superior features for unmatched advantages
Enable unparalleled performance with in-memory OLTP, in-
memory columnstore, Adaptive Query Processing, and High
Availability
Generate real-time intelligence with Mobile BI anywhere
and 1 million predictions per second
Rest assured on the most secure platform featuring Always
Encrypted, Dynamic Data Masking, and Row-level Security
Get the most out of any data with PolyBase and graph support
Run on any platform, anywhere including Linux OS and hybrid
environments

43. Always On for scale out and migration
• Run backups
• Scale BI reporting
• Always On groups for Linux
and Windows for HA and DR
• New flexibility for HA
architectures
• Load balancing of readable
secondaries
• Ultimate HA with OS-level
redundancy and failover
Mission critical HA on any platform
DATA MANAGEMENT // OPERATIONAL DATA