《2019年工作汇报年终总结工作总结模板 (11)》由会员分享，可在线阅读，更多相关《2019年工作汇报年终总结工作总结模板 (11)（33页珍藏版）》请在金锄头文库上搜索。
1、,Unlock insights on any data,Eron Kelly General Manager, SQL Server Marketing,FDN-04,锐普PPT论坛chinakui首发：,Trends driving IT pressures & opportunities,Devices: “Info Workers Will Erase Boundary Between enterprise And Consumer Technologies.” Forrester Research. August 30, 2012 Apps: Gartner: “Predicts 2
2、013: Business Impact of Technology Drives the Futures Application Services Market.” Nov. 21, 2012 Big data: Paraphrased from “The Impact of the Internet of Things on Data Centers.“ Gartner Research, Feb 27, 2014 Cloud: “Prepare For 2020: Transform Your IT Infrastructure And Operations Practice.” For
3、rester Research. Oct. 24, 2012,锐普PPT论坛chinakui首发：,What differentiates todays thriving companies?,锐普PPT论坛chinakui首发：,Technology innovation accelerates value,锐普PPT论坛chinakui首发：,More people,New analytics,Diverse data,Help customers seize their data dividend,Capture a $1.6 trillion data dividend from da
4、ta investments by 2017 worldwide.,Speed,Source: IDC & Microsoft, April 2014,锐普PPT论坛chinakui首发：,Microsofts approach delivers data dividends,Microsoft data platform,An end-to-end platform for any data and everyone,Business questions and problems,Actionable results,锐普PPT论坛chinakui首发：,The Microsoft data
5、 platform,Data,Transform + analyze,Visualize + decide,Capture + manage,锐普PPT论坛chinakui首发：,Breakthrough In-memory performance,Scale your platform quickly to meet changing demands,Capture any data: structured, unstructured, and streaming,On-premises, cloud, and appliance data sources,Data,Transform +
6、analyze,Visualize + decide,Capture + manage,Capture + manage,Collect and manage diverse data types with breakthrough speed,across a data continuum,锐普PPT论坛chinakui首发：,SQL Server 2014 breakthrough in-memory,No need to rewrite existing apps Use the hardware you have today Faster apps & insights,In-memo
7、ry built into core engine,Uses industry-standard hardware,Best-of-breed in-memory by workload,锐普PPT论坛chinakui首发：,DEMO Breakthrough In-memory performance,锐普PPT论坛chinakui首发：,STAN ORLOWSKI DIRECTOR OF DATABASE STRUCTURES NASDAQ OMX,“Data is the lifeblood of our company.“,Compressed data by 75%, saving
8、500TB of disk space Reduced query time from days to hours Cut storage footprint by 50%,锐普PPT论坛chinakui首发：,SQL Server 2014 built-in hybrid technologies,Built with Azure SQL Server pre-built Azure VMs Hybrid AlwaysOn with Azure VMs Backup to Azure Storage,Integrated backup to Azure,Simplified & global
9、ly backed DR,Easy deployment to Azure,锐普PPT论坛chinakui首发：,Right data, right service , no tradeoffs App scale without hiring additional staff Near-zero administration Enterprise-grade capabilities,Azure Data Services for Modern App Design, ,Websites,SQL database,DocumentDB,Search,Tables,DB,HDInsight,R
10、elational and NoSQL database options,Key value and blob storage,Sophisticated search experiences,Enterprise-cloud data protection,锐普PPT论坛chinakui首发：,DEMO Data services for the modern app,Pablo Castro Partner Architect Microsoft,锐普PPT论坛chinakui首发：,John Schlesinger Chief Enterprise Architect TEMENOS,
11、SWITZERLAND,“Meets strict security and compliance requirements.”,With T24 on Azure, Temenos can more easily grow in emerging markets Azure provides deployment agility not found in on-premises applications On-demand scalability enables T24 customers to meet close-of-business deadlines,锐普PPT论坛chinakui
12、首发：,The Microsoft data platform,Transform + analyze,Data,Transform + analyze,Visualize + decide,Capture + manage,锐普PPT论坛chinakui首发：,Transform + analyze,Connect, combine, and orchestrate any data,Unleash complex real-time event processing,Build and test predictive models,Supported by on-premises, clo
13、ud, and appliance data sources,Transform and analyze data for anyone to access anywhere,锐普PPT论坛chinakui首发：,Analytics Platform System for Big Data,Turnkey Big Data appliance Linear scale-out to PBs of data Up to 100x performance increase,Pre-built and performance-tuned,MPP design and In-memory column
14、store,Dedicated Hadoop region,PolyBase for single query across all data,锐普PPT论坛chinakui首发：,Announcing: Azure Stream Analytics,Real-time stream processing Near infinite cloud scale,Managed real-time analytics,Mission-critical reliability and scale,Rapid development,Kiosks,Smart Phones,Servers,Securit
15、y,Stream Analytics,锐普PPT论坛chinakui首发：,Announcing Azure Data Factory,Connect & collect Compose and orchestrate data services at scale Publish for analytics,Manage from a single pane of glass,Set data production policy,Identify and debug errors,锐普PPT论坛chinakui首发：,Azure Machine Learning,The power of machine learning to predict future trends or behavior,Business value,Deployment,Modeling,Business proble
