创新

Wenming Ye 叶文铭

西雅图 数据平台产品组 Sr. Program Manager

课程代码

移动设备 报表 自然语言query

业务智能

仪表盘 应用

数据流 关系数据库

Internal &

external

Non-relational NoSQL

编配 机器学习 模型 信息管理 复杂事件处理

Data

Microsoft

数据平台

云优先

快速

敏捷

已证实

反馈

云优先策略导致更完美的 SQL Server 2016

Announcing

SQL Server 2016

Do more. Achieve more.

Video

SQL Server 2016 on HP Superdome

0100101010110 SQL Server OLTP

SQL Server data warehouse

ETL

In-memory ColumnStore

In-memory OLTP

Real-time fraud

detection

In-memory enhancements 运营分析& 性能增强

Fraud detected

2-24 hrs

Demo

运营分析

dbo.Patients

Jane Doe

Name

243-24-9812

SSN

USA

Country

Jim Gray 198-33-0987 USA

John Smith 123-82-1095 USA

dbo.Patients

Jane Doe

Name

1x7fg655se2e

SSN

USA

Jim Gray 0x7ff654ae6d USA

John Smith 0y8fj754ea2c USA

Country

Result Set

Jim Gray

Name

Jane Doe

Name

1x7fg655se2e

SSN

USA

Country

Jim Gray 0x7ff654ae6d USA

John Smith 0y8fj754ea2c USA

dbo.Patients

SQL Server

ciphertext

Query

Always Encrypted 帮助您实现数据保护, 无论数据是静态还是转运中，在本地还是云端

Trusted Apps

SELECT Name FROM

Patients WHERE SSN=@SSN

@SSN='198-33-0987'

Result Set

Jim Gray

Name

SELECT Name FROM

Patients WHERE SSN=@SSN

@SSN=0x7ff654ae6d

Column Encryption

Key

Enhanced

ADO.NET

Library

Column Master Key

Client side

演示

Always Encrypted

Mission critical performance

性能

Operational analytics

In-memory OLTP for more applications

Query data store

Native JSON

Temporal database support

安全性

Always Encrypted

Row Level Security

Dynamic Data Masking

可用率

Enhanced AlwaysOn

• 3 synchronous replicas for auto failover across domains

• Round robin load balancing of replicas

• DTC for transactional integrity across database instances with AlwaysOn

Enhanced online operations

可扩展性

Enhanced database caching

Support for Windows Server 2016

• 12 TB memory support

演示

Always Encrypted

Do more. Achieve more.

用于移动设备数据可视化的丰富的组件

Business insights through rich visualizations

on any device. Native apps for Windows,

iOS and Android

PolyBase Query relational and non-relational data with T-SQL

T-SQL query

SQL Server Hadoop

Quote:

************************

**********************

*********************

**********************

***********************

$658.39

Jim Gray

Name

11/13/58

DOB

WA

State

Ann Smith 04/29/76 ME

高等 分析 Beyond business intelligence

Source: Gartner

Traditional BI Advanced Analytics

VA

LU

E

DIFFICULTY

Predictiv

e

Analytics

Prescriptiv

e

Analytics

Diagnostic

Analytics

Descriptive

Analytics

How can we

make it happen?

What will

happen?

Why did it

happen?

What

happened?

Data Scientist

Interact directly with data

Built-in to SQL Server

Data Developer/DBA Manage data and

analytics together

Built-in advanced analytics, R In-database analytics at massive scale

Example Solutions

• Sales forecasting

• Warehouse efficiency

• Predictive maintenance

Relational Data

Analytic Library

T-SQL Interface

Extensibilit

y

? R

R Integration

01001

0

10010

0

01010

1

Microsoft Azure

Marketplace

New R scripts

01001

0

10010

0

01010

1

01001

0

10010

0

01010

1

01001

0

10010

0

01010

1

01001

0

10010

0

01010

1

01001

0

10010

0

01010

1

• Credit risk protection

App Service Azure SQL Database

Azure Machine Learning

Intelligent App

Hadoop

Azure SQL Data Warehouse

Power BI

强有力的技术整合

更深入的洞察

存取任何数据

PolyBase

Power Query for analytics and reporting

Enhanced SSIS

• Designer support for previous SSIS versions

• Support for Power Query

扩展 and 管理

Enterprise-grade Analysis Services

New single SSDT in Visual Studio 2015

Enhanced MDS

• Excel add-in 15x faster

• More granular security roles

• Archival options for transaction logs

• Reuse entities across models

强大的洞察能力

Built-in advanced analytics

Business insights through rich visualizations on mobile devices

Enhanced Reporting Services

Do more. Achieve more.

Order history

Name SSN Date

Jane Doe cm61ba906fd 2/28/2005

Jim Gray ox7ff654ae6d 3/18/2005

John Smith i2y36cg776rg 4/10/2005

Bill Brown nx290pldo90l 4/27/2005

Sue Daniels ypo85ba616rj 5/12/2005

Sarah Jones bns51ra806fd 5/22/2005

Jake Marks mci12hh906fj 6/07/2005

Eric Mears utb76b916gi 6/18/2014

Rachel Hogan px61hi9306fj 7/1/2014

Sam Johnson ol43bi506gd 7/12/2014

David Simon tx83hal916fi 7/29/2014

Michelle Burns nb95re926gi 8/10/2014

Reed Dean vc61ira536fe 8/23/2014

Order history

Name SSN Date

Jane Doe cm61ba906fd 2/28/2005

Jim Gray ox7ff654ae6d 3/18/2005

John Smith i2y36cg776rg 4/10/2005

Bill Brown nx290pldo90l 4/27/2005

Customer data

Product data

Order History

Stretch to cloud

Stretch SQL Server into Azure（云延伸技术） warm and cold tables to Azure with remote query processing

App

Query

Microsoft Azure

Jim Gray ox7ff654ae6d 3/18/2005

Demo

Stretch into the Cloud

超大型 cloud

Hybrid solutions

Stretch tables into Azure

Power BI with on-premises data

Hybrid scenarios with SSIS

Enhanced backup to Azure

Simplicity

Easy migration of on-premises SQL Server

Simplified Add Azure Replica Wizard

Consistency

Common development, management and identity tools

Consistent experience from on-premises to Azure

SQL Server 2016

Mobile Reports

Natural

language

query Dashboards Applications

Streaming Relational

Internal &

external

Non-relational NoSQL

Orchestration

Machine

learning Modeling

Information

management

Complex event

processing

The Microsoft data platform

Check out all the data sessions

Pre-register for the SQL Server 2016 CTP & Azure SQL DW previews

http://www.microsoft.com/mcpnews

课后提醒

分会场课程视频观看及课件下载

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http://aka.ms/IgniteChina2015

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