SQL Server 2017 provides flexibility to deploy on Linux, Windows, and Docker containers. It features advanced machine learning with R and Python, graph query support to analyze complex relationships, and adaptive query processing for optimized performance. Security is also improved with features like Always Encrypted and Dynamic Data Masking.

1. SQL Server 2017 – Net raf 2017

2. SQL Server 2017
Run on Linux & Docker
Support for Graph queries to analyze complex relationships
Advanced Machine Learning with R & Python
Adaptive query processing learns & optimizes for unparalleled
performance
SQL Server
2017
Announcing

3. • 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, Apt-Get, and Zypper
Power of SQL Server on the platform of your choice
Linux
Linux/Windows container
Windows
FLEXIBILITY

4. OLTP DW BI Analytics

5. SQL Server
2017

6. Flexibility to work with…
Any Data
Deploy Anywhere
Any Application
Choice of OS
Intelligence Base
10100
11000
00101
T-SQL
Java
C/C++
C#/VB.NET
PHP
Node.js
Python
Ruby

7. Any Data
Deploy Anywhere
Any Application
Choice of OS
Intelligence Base
10100
11000
00101
T-SQL
Java
C/C++
C#/VB.NET
PHP
Node.js
Python
Ruby
SQL Server: Platform for
Data-Driven Intelligence

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. Power your entire data estate with SQL Server 2017
Business intelligence
Advanced Analytics
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
The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select
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

10. 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
NEW*
• Maintain performance when
making app changes with
Automatic Plan Correction
NEW*
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

11. Always On new hybrid HA scenario
• Always On Groups for Linux
NEW*
and Windows for HA and DR
• Flexibility for HA architectures
NEW*
• 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

12. • Most efficient query processing
with 1TB world record
benchmark
• Achieve petabyte data
warehouse scale on Windows
and Linux
NEW*
• #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
#1 performance and value for TPC-H 1TB benchmark non-clustered
$0.64 $0.61
678,492 717,101
GREAT PERFORMANCE GREAT VALUE
Read the performance brief at hpe.com/servers/benchmarks.
Microsoft and Windows are U.S. registered trademarks of Microsoft Corporation. Red Hat, Red Hat Enterprise Linux, and the Shadowman logo are registered trademarks of Red Hat, Inc. Linux is a registered trademark
of Linus Torvalds. Intel and Xeon are trademarks of Intel Corporation in the U.S. and other countries. TPC and TPC-H are trademarks of the Transaction Processing Performance Council. TPC-H results show the HPE
ProLiant DL380 Gen9 with a result of 717,101 QphH @ 1000GB and $0.61/QphH USD with system availability as of 10-19-2017 (results published 04-19-2017; see http://www.tpc.org/xxxx); the HPE ProLiant DL380 Gen9
with a result of 678,492 QphH @1000GB and $0.64/QphH @ 1000GB with system availability as of 07-31-2016 (results published 03-24-2016; see tpc.org/3320). The TPC believes that comparisons of TPC-H results
published with different scale factors are misleading and discourages such comparisons. Please see tpc.org for up-to-date information. Competitive claims valid as of 04-19-2017.
HPE server with
SQL Server 2016 on
Microsoft Windows
HPE server with
SQL Server 2017 on
Red Hat Enterprise Linux
HPE server with
SQL Server 2016 on
Microsoft Windows
HPE server with
SQL Server 2017 on
Red Hat Enterprise Linux
QUERYPERHOUR(QPHH)
$/QUERYPERHOUR($/QPHH)

13. • Bring graph data
NEW*
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
Product
dev project
IT
assessment
Eric
Mears
Michelle
Burns
HR team can determine
which staff are working
on which projectsProjects
Managers
Associates

14. • Mobile Reporting—online
and offline—on iOS, Windows,
Android mobile devices
• Updated Report Viewer
NEW*
a free developer component
Bring your data to life with reporting anywhere
DATA INSIGHTS // BUSINESS INTELLIGENCE

15. • Modern connectors
NEW*
for big data sources, additional
databases, Azure stores, and
diverse modern data sources
• Fast time to insights with
rich data transformations
and mashups
NEW*
• 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
Visualize
Power BI
reports
Tableau
Facebook
Excel
Data analysisTransform
Sentiment
Churn
Revenue
MySQL
Azure Blob
MailChimp
Files
RedShift
SSRS

16. • In-database analytics with R and
now Python
NEW*
enables users to
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
Real-time intelligence with machine learning built-in
DATA INSIGHTS // ADVANCED ANALYTICS
In-database analytics with R and Python
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

17. • Most secure platform, with the
least vulnerabilities in the NIST
vulnerability database
• Encrypt data at rest and in motion
with Always Encrypted on new
driver libraries
• Conceal sensitive information with
Dynamic Data Masking
• Control access to database rows
based on user characteristics with
Row-Level Security
• File-level protection with
Transparent Data Encryption
Protect your data at all times on Windows and Linux
SECURITY
Always Encrypted
Query
Client side Server side
Data set
Enhanced
SQL Server
Library
CIPHERTEXT
Search for single
customer record
Sensitive data remains
encrypted inside SQL Server
Result set with
unencrypted data
Column master key Column encryption key
Customer Credit card # Exp.
Denny Usher 0x7ff654ae6d 5/174949-8003-8473-1930
Customer Credit card # Exp.
Tim Irish 4839-2939-1919-3987 7/19
Denny Usher 4949-8003-8473-1930 5/17
Alicia Hodge 9000-4899-1600-1324 4/18
Credit card #
1x7fg655se2e
0x7ff654ae6d
0y8fj754ea2c

18. • 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
• Use on-prem licenses in the
cloud with License Mobility,
a Software Assurance benefit
Run SQL Server anywhere
FLEXIBILITY
Any platform, any cloud
SQL Server 2017
Azure 3rd