Making Data Work

for Everyone

Jack Tang

WW Data Insights Business Lead

Microsoft Corporation

Big data

40ZBthe size of digital universe by 2020, of which 90% will be unstructured data

Devices

more than halfof information workers across 17 countries report using 3+ devices for work

Apps

one quarterof external app implementation spending will be on mobility, cloud, analytics & social, by 2016

Cloud

nearly halfof total IT spend will be cloud-related by 2020

Devices: “Info Workers Will Erase Boundary Between enterprise And Consumer Technologies.” Forrester Research. August 30, 2012

Apps: Gartner: “Predicts 2013: Business Impact of Technology Drives the Futures Application Services Market.” Nov. 21, 2012

Big data: Compiled from IDC digital universe forecasts

Cloud: “Prepare For 2020: Transform Your IT Infrastructure And Operations Practice.” Forrester Research. Oct. 24, 2012

Industry transformation

Microsoft transformation

Mobile (行動)-first Cloud-first

Data-driven

Microsoft transformation

Cloud-firstMobile-first

Cloud OS: Making data work for everyone

The evolution of the Microsoft data platform

12 months of data platform innovation

ANNOUNCINGSQL Server 2014

General availability

200,000 evaluations

100+ early adopters

Making data work for everyone

Breakthrough in-memory performance

Transformational hybrid cloud scenarios

Real-timeinsights onany data

Making data work for everyone

Breakthrough in-memory performance

Transformational hybrid cloud scenarios

Real-timeinsights onany data

Analysis Services

In-Memory

In-Memory

ColumnStore

PowerPivot

In-Memory for Excel

The Journey to Complete In-Memory (記憶體)

PowerPivot

In-Memory for Excel

20122008 R2

Enhanced In-Memory

ColumnStore

In-Memory OLTP (線上交易處理)

Analysis Services

In-Memory

PowerPivot

In-Memory for Excel

In-Memory in

the cloud

2014

11

Key trends impacting in-memory designCPU Performance Flattening OutDecreasing Cost of Memory

$/GB of Memory

1

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US$

/GB

0

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10,000,000

1970 1975 1980 1985 1990 1995 2000 2005 2010

Drive real-time business

with real-time insights

Over 100x query (提取)speed and

significant data compression with

In-Memory ColumnStore

Up to 30x faster transaction

processing with In-Memory OLTP

Greater

performance

with In-Memory

Analysis Services

Billions of rows

per second with

PowerPivot

In-Memory for

Excel

Faster InsightsIN-MEMORY ANALYTICS

Faster QueriesIN-MEMORY DW (資料倉儲)

Faster TransactionsIN-MEMORY OLTP

On average 10x faster, without having rewrite entire app

Leverage full SQL Server capabilities

Select only highly-utilized tables to be in-memory

Optimize in-memory to fit existing hardware

In-memory performance across OLTP, DW & BI

All in a single SKU

Breakthrough in-memory performance (效能) SQL Server 2014

In-memory built into core engine

Uses industry-standard hardware

Best-of-breed in-memory by workload (工作負載)

Up to 30XOLTP performance gains

Up to 100XFaster star join queries

90%Disk space savings

In-memory built-in

固態式硬碟)

Business transformation with in-memory

Business Challenge

Key Benefits

DEMOSQL Server 2014 In Memory OLTP

Mark Chen

Data Platform Technology Solution Professional

Microsoft Taiwan

Beyond breakthrough in-memorySQL Server 2014

Efficient

Increased availability

Networking

Compute

Storage

Most widely-deployed database in the world

Least vulnerable database

Ecosystem of SQL Server Partners

8 Advantages (優勢) of SQL Server OLTP

Applications:Breakthrough

performance

without rewrites

Hardware:Use your industry-

standard HW

for in-memory

Utilization:Take full advantage

of your database

capabilities

Value:In-memory

at lower TCO

Workloads: Best in-memory

tech for each

workload

Time: Faster time

to value with easy

set up

Experience:Most widely-

deployed database

worldwide

As compared to SAP HANA (1-8) and Oracle TimesTen (3-5, 7) offerings

Performance:100X for DW

Up to 30X for OLTP

Making data work for everyone

Breakthrough in-memory performance

Transformational hybrid cloud scenarios

Real-timeinsights onany data

Find, combine, analyze any data

Visualize (視覺化) & get results with

familiar tools

Share insights in new ways

Scale & operationalize across organization

Real-time insights (見解) on any data

Excel as the BI tool for everyone

Built to scale for enterprise BI & DW

Power BI for collab & new experiences

Searchable catalog for public & corp data

Easy access to data, big and smallEmpower all users to find, combine, manage

Use your historical and

ongoing transactional

data to your

advantage

Data types:

Social sentiment

Audio

Video

Handwritten

TB Streaming

HDInsight, APS, HDP

Use your historical and

ongoing transactional

data to your advantage

Data types:

CEP

Weblogs

Sensor data

PB Unstructured

StreamInsight

Use your historical and

ongoing transactional

data to your

advantage

Data types:

ERP

CRM

GB Structured

Microsoft SQL Server

Unstructured

Streaming

Use your historical and

ongoing transactional

data to your

advantage

Data types:

ERP

CRM

GB Structured

Microsoft SQL Server

UnstructuredStructured

Streaming

Use your historical and

ongoing transactional

data to your

advantage

Data types:

Social sentiment

Audio

Video

Handwritten

TB Streaming

Use your historical and

ongoing transactional

data to your

advantage

Data types:

ERP

CRM

GB Structured

Microsoft SQL Server HDInsight, APS, HDP

Use your historical and

ongoing transactional

data to your

advantage

Data types:

ERP

CRM

UnstructuredStructured

Streaming

Use your historical and

ongoing transactional

data to your advantage

Data types:

CEP

Weblogs

Sensor data

GB Structured PB Unstructured

StreamInsightMicrosoft SQL Server

Use your historical and

ongoing transactional

data to your

advantage

Data types:

Social sentiment

Audio

Video

Handwritten

TB Streaming

HDInsight, APS, HDP

Drive business in

real time, from apps to

insights

Data types:

ERP/CRM

Payroll

Sales pipeline

Inventory

Monitor, manage, and

mine data for defects

and opportunities

Data types:

Financial trading

Web analytics

Operational analytics

Store, process, and

analyze any type or

size data

Data types:

Log files

Sensors, RFID, devices

Spatial and GPS

Weather

Structured (結構化) Streaming (串流)Unstructured (非結構化)

StreamInsight

Analytics Platform System,

HDInsightSQL Server

Analyze in Excel

Power BI for collaboration& new experiences

Excel as the BI tool for everyone

十億)

Scalable, Manageable, Trusted

DEMOPower BI for Office 365

Angi Wang

Data Platform Technology Solution Professional

Microsoft Taiwan

General availability

ANNOUNCINGMicrosoft Analytics Platform System

Relational (關係) or Non-relational, on premises & cloud

Integrated relational & non-relational query with T-SQL

Scale out relational data to multi-petabytes with APS

Scale out non-relational data with HDInsight

In-memory query performance (up to 100x)

Near real-time insights on streaming data

Built to scale on enterprise BI & DW platform

Any Data

All Volumes

Real-time

PolyBase

Hadoop distribution

StreamInsight

In-memory ColumnStore (欄位儲存)

Massively-parallel processing

architecture

DashboardsPerformance

management dashboards

& scorecards with

SharePoint

AnalysisSingle semantic model

& scalable analytics

engine with

Analysis Services

ReportingPixel perfect operational

& embedded

reporting with

Reporting Services

Manage data across the enterprise

Master DataAccurate & trustworthy

data with

Master Data Services

Data IntegrationIntegrated deployment

& management with

Integration Services

Data QualityData cleansing &

matching with

Data Quality Services

DEMOIn Memory ColumnStore

Mark Chen

Data Platform Technology Solution Professional

Microsoft Taiwan

Identify outbreaks in minutes

手寫輸入

4 Advantages of Microsoft BI

Speed:

Get employees

using BI quickly

with familiar tools

in Excel

Scale:

Deploy BI across

enterprise with

scalable, complete

solution

Access:

Discover & combine

both structured

& unstructured data

Savings:

Won’t cost

thousands per user

for specialized BI

tools

As compared to BI point-solution from Tableau Software

Making data work for everyone

Breakthrough in-memory performance

Transformational hybrid cloud scenarios

Real-timeinsights onany data

Insights on data where it lives

Flexible, scalable HA

Cost-effective, global DR

Fast time to market, elastic scale

Transformational hybrid cloud scenarios

Simplify backup (備份)& Disaster Recovery (DR - 災害復原)

Analytics for on-premises (本地的) data

Extend on-premises apps

Optimize applications

…from an enterprise-grade cloud

Data files in

Microsoft Azure

on premises Microsoft Azure storage

Cloud backup & Disaster Recovery

Backup to

Microsoft Azure

on premises Microsoft Azure storage

SQL Server 2005-2014

AlwaysOn

Secondaries

on premises Microsoft Azure virtual machine

Primary

Secondary

SQL database service is a

“game changer” Leads to greater revenue

Easy on-ramp to cloud

DEMOMicrosoft Hybrid Cloud SQL Scenarios

Mark Chen

Data Platform Technology Solution Professional

Microsoft Taiwan

Hybrid solution cuts data recovery time from minutes to seconds

Data-driven

Microsoft transformation

Cloud-firstMobile-first

The

Microsoft

Data

Platform

Complete and consistent data platform

Innovation at enterprise scale

* IDC Server Workloads Study 2013 ** IDC 2013 WW Server Tracker

93%of the Fortune 1000

use Active Directory

67%servers worldwide run

on Windows Server**

45%worldwide share:

SQL Server most

widely-deployed

database*

66%of enterprise seats

covered with System

Center

12B+weekly Microsoft

Azure AD

authentications

50%of Fortune 500 use

Microsoft Azure

280%year-over-year

database growth in

Microsoft Azure

29K+organizations

already use

Windows Intune

1B+Office users, 1 in 4

enterprise customers

now has Office 365

Microsoft Azure runs

on Windows Server 8.5T objects

stored in Microsoft Azure

Bing runs on Windows

Server 5.5B+ global

queries per month

Microsoft Azure

Making data work for everyone

Making data work for everyone…

…by unlocking insights on any data