introducing microsoft sql server 2017

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

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Analytics driving

digital transformation

Modernize your apps

with built-in analytics

New opportunities in a changing data landscape

http://www.apache.org/

67Years

25Years

15Years

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 ServerPOWERING 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 AnalyticsThis 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




In-database Advanced Analytics

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SQL Server 2016Everything Built-in





non-clustered results


#1





1 MillionPREDICTIONS/SEC




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 applicationsSingle 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

http://www.apache.org/

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

availabilityMaximum

virtualization

with SA

Performance

at scale

Scales for your business needsSQL Server Enterprise continues to deliver performance and availability for Enterprise workloads

SQL Server 2017Run 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 Server2017

Announcing

OLTP DW BI Analytics

SQL Server2017

• 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 dataNEW*

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

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

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

1Mpredictions

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 LinuxNEW*

and Windows for HA and DR

• Flexibility for HA architecturesNEW*

• 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

Data

vir

tualiza

tio

n

Po

lyB

ase

DATA MANAGEMENT

Data

in

teg

rati

on

S

SIS

Big data processing

Data warehousing

Operational data

SECURITY

FLEXIBILITY .NET Azure 3rdJAVA

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 DatabaseSQL 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 [email protected]

introducing microsoft sql server 2017

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