Download - SQL Server 2017 Deep Dive - @Ignite 2017
End-to-end mobile BI
on any device
Choice of platform
and language
Most secure
over the last 7 years
0
20
40
60
80
100
120
140
160
180
200
Vu
lnera
bil
itie
s (2
01
0-2
01
6)
A fraction of the cost
Se
lf-se
rvic
e B
I p
er
use
r
Only commercial DB
with AI built-in
Microsoft Tableau Oracle
$120
$480
$2,230
Industry-leading
performance
1/10
Most consistent data platform
#1 TPC-H performance
1TB, 10TB, 30TB
#1 TPC-E performance
#1 price/performance
T-SQL
Java
C/C++
C#/VB.NET
PHP
Node.js
Python
Ruby
R
R and Python + in-memory
at massive scale
S Q L S E R V E R 2 0 1 7 I N D U S T R Y - L E A D I N G P E R F O R M A N C E A N D S E C U R I T Y N O W O N L I N U X A N D D O C K E R
Private cloud Public cloud
+ T-SQL
In-memory across all workloads
1/10th the cost of Oracle
F L E X I B L E , R E L I A B L E
D ATA M A N A G E M E N TSQL Server on the platform of
your choice
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
Choice of platform and language
Performance and scale Cross-OS compatibilitySame app code runs across platforms
Native user experienceOn Linux and macOS (server & tools)
SQL Platform Abstraction Layer (SQLPAL)
DB Engine
IS AS RS
Windows Linux
WindowsHost Ext.
Linux Host Extension
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
Choice of platform and language
M I S S I O N C R I T I C A L
AVA I L A B I L I T Y O N
A N Y P L AT F O R MAlways On cross-platform
capabilities
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
Development
Create dev/test
environments
Consume dev/test
environment
Push change
Check-in tests
Scheduled tests
Create pre-prod
environment
Pre-production
tests
Deploy
CI
CD
Bring graph dataNEW*
support to your relational data to store and analyze new types of relationships
The power to query over any type of data
Graph data support
Quarterly
business
review
Andy
Smith
Mary
Jones
Denny
UsherBill
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
Value
DataActionDecisions
Advanced
AnalyticsPredictive &
Prescriptive Analytics
Business
IntelligenceDescriptive &
Diagnostic Analytics
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
Ingest real-time train data:Brakes are hot!
Query across historical data:They’ve been hotfor 4 hours!
Analyze global trends:Could lead to accident
A N N O U N C I N G
S P E C I A L P R I C I N G F O R S Q L S E R V E R O N L I N U X
A N D R E D H AT E N T E R P R I S E L I N U X
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
10:45 - 12:00
BRK 2217
Azure Cosmos DB: The
globally distributed,
multi-model database
Tuesday, September 26
10:45 - 12:00
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
Tuesday, September 26
9:00 -10:15
BRK 3242
https://github.com/twright-msft/mssql-test-scripts
https://github.com/twright-msft/contoso-u
https://github.com/tobiassql/samples
http://myignite.microsoft.com
https://aka.ms/ignite.mobileapp