making data work for everyonedownload.microsoft.com/download/c/6/0/c60e2bd0-8a7c-479f-851e... ·...
TRANSCRIPT
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Making Data Work
for Everyone
Jack Tang
WW Data Insights Business Lead
Microsoft Corporation
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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
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Microsoft transformation
Mobile (行動)-first Cloud-first
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Data-driven
Microsoft transformation
Cloud-firstMobile-first
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Cloud OS: Making data work for everyone
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The evolution of the Microsoft data platform
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12 months of data platform innovation
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ANNOUNCINGSQL Server 2014
General availability
200,000 evaluations
100+ early adopters
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Making data work for everyone
Breakthrough in-memory performance
Transformational hybrid cloud scenarios
Real-timeinsights onany data
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Making data work for everyone
Breakthrough in-memory performance
Transformational hybrid cloud scenarios
Real-timeinsights onany data
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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
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Key trends impacting in-memory designCPU Performance Flattening OutDecreasing Cost of Memory
$/GB of Memory
1
10
100
1,000
10,000
100,000
1,000,000
1990
1991
1992
1993
1994
1994
1995
1996
1997
1998
1999
2000
2000
2001
2002
2004
2005
2007
2008
2009
2011
US$
/GB
0
1
10
100
1,000
10,000
100,000
1,000,000
10,000,000
1970 1975 1980 1985 1990 1995 2000 2005 2010
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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
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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
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In-memory built-in
固態式硬碟)
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Business transformation with in-memory
Business Challenge
Key Benefits
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DEMOSQL Server 2014 In Memory OLTP
Mark Chen
Data Platform Technology Solution Professional
Microsoft Taiwan
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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
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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
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Making data work for everyone
Breakthrough in-memory performance
Transformational hybrid cloud scenarios
Real-timeinsights onany data
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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
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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
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Power BI for collaboration& new experiences
Excel as the BI tool for everyone
十億)
Scalable, Manageable, Trusted
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DEMOPower BI for Office 365
Angi Wang
Data Platform Technology Solution Professional
Microsoft Taiwan
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General availability
ANNOUNCINGMicrosoft Analytics Platform System
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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
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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
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DEMOIn Memory ColumnStore
Mark Chen
Data Platform Technology Solution Professional
Microsoft Taiwan
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Identify outbreaks in minutes
手寫輸入
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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
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Making data work for everyone
Breakthrough in-memory performance
Transformational hybrid cloud scenarios
Real-timeinsights onany data
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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
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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
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SQL database service is a
“game changer” Leads to greater revenue
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Easy on-ramp to cloud
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DEMOMicrosoft Hybrid Cloud SQL Scenarios
Mark Chen
Data Platform Technology Solution Professional
Microsoft Taiwan
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Hybrid solution cuts data recovery time from minutes to seconds
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Data-driven
Microsoft transformation
Cloud-firstMobile-first
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The
Microsoft
Data
Platform
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Complete and consistent data platform
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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
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Making data work for everyone
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Making data work for everyone…
…by unlocking insights on any data
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