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SQL Server 2017
Power your entire data estate from on-premises to cloud
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
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
Business
leaders
are focused
on disruption
Enable business agility
Re-imagine
business processes
Disrupt with
new business models
Differentiate with
customer experience
Securing and integrating
many database systems
Investing to modernize
legacy applications
Delivering on increasing
performance/price demands
Providing predictive analytics
But harnessing
technology to
disrupt isn’t easy
SQL Server
POWERING YOUR DATA ESTATE
SQL Server 2016
An industry leader four years in a row
Most secure database over the last 7 years
Highest performing data warehouse
End-to-end mobile BI at a fraction of the cost
In-database Advanced Analytics
This graphic was 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.
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.
Everything Built-in
Most secure database over the last 7 years
Highest performing data warehouse
End-to-end mobile BI at a fraction of the cost
In-database Advanced Analytics
0
20
40
60
80
100
120
140
160
180
200
Vulnerabilities(2010-2016)
An industry leader four years in a row
SQL Server 2016Everything Built-in
Most secure database over the last 7 years
Highest performing data warehouse
End-to-end mobile BI at a fraction of the cost
In-database Advanced Analytics
non-clustered results
An industry leader four years in a row
#1
SQL Server 2016Everything Built-in
Most secure database over the last 7 years
Highest performing data warehouse
End-to-end mobile BI at a fraction of the cost
In-database Advanced Analytics
An industry leader four years in a row
SQL Server 2016Everything Built-in
Highest performing data warehouse
End-to-end mobile BI at a fraction of the cost
In-database Advanced Analytics
1 Million
PREDICTIONS/SEC
An industry leader four years in a row
Most secure database over the last 7 years
SQL Server 2016Everything Built-in
Real-time operational
analytics without
impacting performance
Only data solution to
encrypt your data at
rest and in motion
Connect your
relational data to
big data with PolyBase
Faster transactions,
faster queries with
In-memory*
Unparalleled choice
for developer tools
and languages
1
Innovations for all your applications
Single programming model across editions
Available now
SQL Server 2016 SP1
T-SQL
Java
C/C++
C#/VB.NET
PHP
Node.js
Python
Ruby
*Compute and memory available to in-memory technologies scales across editions
Standard Enterprise
Maximum number of cores 24 cores Unlimited
Maximum memory utilized per instance 128 GB OS Max
Maximum size 524 PB 524 PB
Basic high availability (2-node single database failover, non-readable secondary)  
Enterprise data management (Master Data Services, Data Quality Services) 
Advanced OLTP (In-memory OLTP, Operational analytics)* New  
Advanced HA (Always On - multi-node, multi-db failover, readable secondaries) 
Security (Always Encrypted, row-level security, data masking, fine-grained auditing, separation of
duties)
New  
Transparent Data Encryption 
Fuzzy grouping and look ups 
Data warehousing (In-Memory ColumnStore*, partitioning, data compression, change data capture,
database snapshot)
New  
Basic data integration (SSIS, built-in connectors)  
Basic Corporate Business Intelligence (Multi-dimensional models, Basic tabular model)  
Mobile BI (Datazen) 
Advanced Corporate Business Intelligence (Advanced tabular model, Direct query,
in-memory analytics, advanced data mining)

Basic “R” integration (Connectivity to R Open, Limited parallelism for RRE)  
Advanced “R” integration (Full parallelism for RRE) 
Stretch Database  
Programmability (T-SQL, CLR, Service Broker, JSON, XML)  
SQL Server 2016 SP1 features by edition
* Memory core and limitations for SE
Mission critical
availability
Maximum
virtualization
with SA
Performance
at scale
Scales for your business needs
SQL Server Enterprise continues to deliver performance and
availability for Enterprise workloads
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
OLTP DW BI Analytics
SQL Server
2017
• 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
• 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
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
• 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
• 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
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
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
Microsoft data
INTELLIGENT TRUSTED FLEXIBLE
Empower intelligent apps with Microsoft
— no matter how you plug in
Secure your data
and apps with
built-in tools
Scale apps globally
on hybrid platforms
or in the cloud
Scale costs with
performance and
optimize your apps
Intelligent Trusted Flexible
Migrating the app
Managing the
infrastructure
Building the app
Modernizing the app
Contact us for additional information & deployment offers
David.Rosenthal@razor-tech.com

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Introducing Microsoft SQL Server 2017

  • 1. SQL Server 2017 Power your entire data estate from on-premises to cloud
  • 2. 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
  • 3. 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
  • 4.
  • 5. Business leaders are focused on disruption Enable business agility Re-imagine business processes Disrupt with new business models Differentiate with customer experience
  • 6. Securing and integrating many database systems Investing to modernize legacy applications Delivering on increasing performance/price demands Providing predictive analytics But harnessing technology to disrupt isn’t easy
  • 8. SQL Server 2016 An industry leader four years in a row Most secure database over the last 7 years Highest performing data warehouse End-to-end mobile BI at a fraction of the cost In-database Advanced Analytics This graphic was 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. 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. Everything Built-in
  • 9. Most secure database over the last 7 years Highest performing data warehouse End-to-end mobile BI at a fraction of the cost In-database Advanced Analytics 0 20 40 60 80 100 120 140 160 180 200 Vulnerabilities(2010-2016) An industry leader four years in a row SQL Server 2016Everything Built-in
  • 10. Most secure database over the last 7 years Highest performing data warehouse End-to-end mobile BI at a fraction of the cost In-database Advanced Analytics non-clustered results An industry leader four years in a row #1 SQL Server 2016Everything Built-in
  • 11. Most secure database over the last 7 years Highest performing data warehouse End-to-end mobile BI at a fraction of the cost In-database Advanced Analytics An industry leader four years in a row SQL Server 2016Everything Built-in
  • 12. Highest performing data warehouse End-to-end mobile BI at a fraction of the cost In-database Advanced Analytics 1 Million PREDICTIONS/SEC An industry leader four years in a row Most secure database over the last 7 years SQL Server 2016Everything Built-in
  • 13. Real-time operational analytics without impacting performance Only data solution to encrypt your data at rest and in motion Connect your relational data to big data with PolyBase Faster transactions, faster queries with In-memory* Unparalleled choice for developer tools and languages 1 Innovations for all your applications Single programming model across editions Available now SQL Server 2016 SP1 T-SQL Java C/C++ C#/VB.NET PHP Node.js Python Ruby *Compute and memory available to in-memory technologies scales across editions
  • 14. Standard Enterprise Maximum number of cores 24 cores Unlimited Maximum memory utilized per instance 128 GB OS Max Maximum size 524 PB 524 PB Basic high availability (2-node single database failover, non-readable secondary)   Enterprise data management (Master Data Services, Data Quality Services)  Advanced OLTP (In-memory OLTP, Operational analytics)* New   Advanced HA (Always On - multi-node, multi-db failover, readable secondaries)  Security (Always Encrypted, row-level security, data masking, fine-grained auditing, separation of duties) New   Transparent Data Encryption  Fuzzy grouping and look ups  Data warehousing (In-Memory ColumnStore*, partitioning, data compression, change data capture, database snapshot) New   Basic data integration (SSIS, built-in connectors)   Basic Corporate Business Intelligence (Multi-dimensional models, Basic tabular model)   Mobile BI (Datazen)  Advanced Corporate Business Intelligence (Advanced tabular model, Direct query, in-memory analytics, advanced data mining)  Basic “R” integration (Connectivity to R Open, Limited parallelism for RRE)   Advanced “R” integration (Full parallelism for RRE)  Stretch Database   Programmability (T-SQL, CLR, Service Broker, JSON, XML)   SQL Server 2016 SP1 features by edition * Memory core and limitations for SE
  • 15. Mission critical availability Maximum virtualization with SA Performance at scale Scales for your business needs SQL Server Enterprise continues to deliver performance and availability for Enterprise workloads
  • 16. 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
  • 17. OLTP DW BI Analytics
  • 19. • 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
  • 20. • 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
  • 21. 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
  • 22. • 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
  • 23. • 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
  • 24. 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
  • 25. 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
  • 27. Empower intelligent apps with Microsoft — no matter how you plug in Secure your data and apps with built-in tools Scale apps globally on hybrid platforms or in the cloud Scale costs with performance and optimize your apps Intelligent Trusted Flexible Migrating the app Managing the infrastructure Building the app Modernizing the app
  • 28. Contact us for additional information & deployment offers David.Rosenthal@razor-tech.com