1. SQL Server 2017 Deep Dive Tobias Ternstrom, Travis Wright
9/14/ :48 PM
SQL Server 2017 Deep Dive
Tobias Ternstrom, Travis Wright
Program Managers
Microsoft
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2. SQL Server 2017
Industry-leading performance and security NOW ON LINUX and DOCKER
1/10th the cost of Oracle
Choice of platform and language
Industry-leading performance 
Most secure over the last 7 years
Only commercial DB with AI built-in
End-to-end mobile BI on any device
Microsoft
Tableau
Oracle
$120
$480
$2,230 R
1/10
Self-service BI per user
T-SQL
Java
C/C++
C#/VB.NET
PHP
Node.js
Python
Ruby
+ T-SQL
#1 TPC-H performance 1TB, 10TB, 30TB
#1 TPC-E performance
#1 price/performance
R and Python + in-memory at massive scale
A fraction of the cost
In-memory across all workloads
Most consistent data platform
Private cloud
Public cloud

3. Flexible, reliable data management SQL Server on the platform of your choice
Windows
Linux
Support for RedHat Enterprise Linux (RHEL), Ubuntu, and SUSE Enterprise Linux (SLES)
Linux and Windows Docker containers
Windows Server / Windows 10
Package-based installation: Yum Install, Apt-Get, and Zypper
Linux/Windows container
Choice of platform and language

4. Prioritization principles
9/14/ :48 PM
Prioritization principles
Performance and scale
Cross-OS compatibility
Same app code runs across platforms
Native user experience
On Linux and macOS (server & tools)
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5. Demo Install SQL Server 2017 on RHEL 9/14/2018 10:48 PM
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6. System Architecture SQL Platform Abstraction Layer (SQLPAL)
Win32-like APIs
Host Extension mapping to OS system calls
(IO, Memory, CPU scheduling)
SQL OS API
SQL OS v2
Everything else
System Resource & Latency Sensitive Code Paths
DB Engine IS AS RS
SQL Platform Abstraction Layer
(SQLPAL)
Windows
Host Ext.
Linux Host Extension
Windows
Linux

8. Demo SQL Server 2017 on Linux Performance & Scale 9/14/2018 10:48 PM
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9. Mission critical availability on any platform Always On cross-platform capabilities
Windows
HA and DR for Linux and Windows
Support for clusterless Availability Groups
Ultimate HA with OS-level redundancy and low-downtime migration
Load balancing of readable secondaries
High availability
Primary
Sync/Async Replicas
Linux
Cross-operating system
Sync/Async Replicas
Choice of platform and language

10. Demo High Availability 9/14/2018 10:48 PM
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11. Traditional CI/CD Development Production Build Push code Test Deploy
Microsoft Build 2017
9/14/ :48 PM
Traditional CI/CD
Development
Production
Build
Push code
Test
Deploy
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

12. CI/CD with Data Perspective
Microsoft Build 2017
9/14/ :48 PM
CI/CD with Data Perspective
Production
Pre-Production
Development
Create dev/test environments
New sprint CD
Scheduled tests
Check-in tests
Consume dev/test environment
Deploy CI
Pre- production tests
Create pre-prod environment
Push change
Sprint finishing
Production data
Sanitized data
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13. What about new Dependency bits?
Microsoft Build 2017
9/14/ :48 PM
What about new Dependency bits?
Dependency Update
Production
Pre-Production
Development
Create dev/test environments
Including SQL Server
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14. Demo SQL Server 2017 DevOps with Linux containers 9/14/2018 10:48 PM
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

15. The power to query over any type of data
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 projects
Projects
Managers
Associates
Bring graph dataNEW* support to your relational data to store and analyze new types of relationships

16. 9/14/ :48 PM
Demo
SQL Graph
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17. From Data to Decisions and Actions
Recommendations
What we should do
Decision support
Automation = Faster and more confident decisions
Decisions
Action
Advanced
Analytics
Predictive & Prescriptive Analytics
Predictions
What will happen?
Business
Intelligence
Descriptive & Diagnostic Analytics
Interactive dashboards
Why did it happen?
Static reports
What happened?
Manual processes
Value

18. Intelligent workloads
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Intelligent workloads
Intelligent apps need to be able to:
Ingest data in real-time
Query across historical and real-time data
Analyze patterns and make predictions
Analyze global trends: Could lead to accident
STOP
Query across historical data: They’ve been hot for 4 hours!
Ingest real-time train data:
Brakes are hot!
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19. Demo Machine Learning Services - Python 9/14/2018 10:48 PM
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20. SPECIAL PRICING FOR SQL SERVER ON LINUX AND RED HAT ENTERPRISE LINUX
ANNOUNCING
SPECIAL PRICING FOR SQL SERVER ON LINUX AND RED HAT ENTERPRISE LINUX

21. LEARN MORE https://github.com/twright-msft/mssql-test-scripts
Microsoft.com/SQLServer2017
aka.ms/azuredataservices
New capabilities for data integration in the cloud
Wednesday, September 26
11:00 – 12:15
BRK 2254
Modernize your on-premises applications with SQL Database Managed Instances
Wednesday, September 27
10: :00
BRK 2217
Azure Cosmos DB: The globally distributed, multi-model database
Tuesday, September 26
BRK3086
How to build ML apps using R and Python
Thursday, September 28
2:15-3:30
BRK 3298
Dining on data: Consume and query petabytes of data with Azure SQL Data Warehouse
9:00 -10:15
BRK 3242

22. 9/14/ :48 PM
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.