This document summarizes the key features and capabilities of SQL Server 2017. It highlights that SQL Server 2017 runs on Linux and Docker in addition to Windows, supports graph queries and advanced machine learning with R and Python, and features adaptive query processing for improved performance. The document also discusses SQL Server 2017's abilities around data management, analytics, security, and its role in enabling hybrid cloud solutions with Microsoft Azure.
2. Widely available
unstructured data
Deliver powerful insights
over big data
Massive
data growth
Build data
into all your apps
50ZB
1010
0101
0010
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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
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
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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
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
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