Consumerization of IT

Data explosion

“By 2015, organizations integrating high-value, diverse, new information types and sources into a coherent information management infrastructure will outperform their industry peers financially by more than 20%.”

– Gartner, Regina Casonato et al., “Information Management in the 21st Century”

from new data types

85%

increase every five years

10x

using social media input

27%

connected devices per adult

4.3

The many sources and rapid growth of data requires a new approach • 

• 

• 

70% dos donos de smartphones dos Estados Unidos fazem compras online regularmente via seus dispositivos.

44% dos usuários (350 milhões de pessoas) acessam o Facebook via dispositivos móveis. 50% da geração do milênio usam dispositivos móveis para pesquisar produtos.

60% dos dados móveis dos EUA serão transmissões de áudio e vídeo até 2014.

Mobilidade

2/3 do tráfego móvel mundial serão por vídeo até 2016.

33% do BI será consumido via dispositivos portáteis até 2013.

Consoles de jogo agora são usados uma média de 1,5 h/semana para conexão com a Internet.

80% de crescimento em dados não estruturados está previsto para os próximos cinco anos.

1,8 zettabytes de dados digitais foram usados em todo o mundo em 2011, 30% a mais que em 2010.

1 em cada 4 usuários do Facebook inclui sua localização nas postagens (2 bilhões/mês).

500 milhões de tweets são hospedados no Twitter todos os dias.

38% das pessoas recomendam uma marca que “curtem” ou seguem em uma rede social. 100

milhões de "curtidas" no Facebook por dia.

Marcas recebem

Big Data Social

Mobilidade Nuvem

Lidar com o crescimento no volume, velocidade e variedade dos dados

A necessidade

Dados relacionais

VELOCITY

VARIETY

VOLUME

Data Complexity: Variety and Velocity

Terabytes

Gigabytes

Megabytes

Petabytes

Volume

How do I optimize my fleet based on weather and traffic patterns?

SOCIAL & WEB ANALYTICS

LIVE DATA FEEDS

ADVANCED ANALYTICS

What’s the social sentiment for my brand or products?

How do I better predict future outcomes?

Web app optimization

Smart meter monitoring

Equipment monitoring

Advertising analysis

Life sciences research

Fraud detection

Healthcare outcomes

Weather forecasting

Natural resource exploration

Social network analysis

Churn analysis

Traffic flow optimization

IT infrastructure optimization

Legal discovery

010101010101010101 1010101010101010 01010101010101 101010101010

Microsoft HDInsight Server

HDInsight Service

MA

RK

ETP

LAC

E

External D

ata and S

ervices

NON-RELATIONAL

1 0 0 1 1 1

DATA MANAGEMENT

RELATIONAL

MULTIDIMENSIONAL STREAMING

SHARE AND GOVERN

DISCOVER AND RECOMMEND

TRANSFORM AND CLEAN

DATA ENRICHMENT

INSIGHTS

OPERATIONAL

SELF-SERVICE MOBILE

PREDICTIVE

REAL-TIME COLLABORATIVE

Start Small With A Few TB and Linearly Scale OUT

Smallest (0TB) To Largest (7PB)

•  Start small with a few Terabyte

warehouse

•  Add capacity up to 7 Petabytes

0TB 7 PB

Add Capacity

Add Capacity

The Ease of An Appliance

Parallel Data Warehouse

Pre-Built Hardware + Software

Appliance

•  Co-engineered with HP and Dell

•  Pre-built Hardware

•  Pre-installed Software

Fundamental Breakthrough in Data Processing

Single Query; Structured and Unstructured

•  Query and join Hadoop tables with Relational

Tables

•  Use Standard SQL language •  Select, From Where

SQL Server 2012 PDW Powered by PolyBase

SQL

Familiar Tools To Analyze Structured/Unstructured Data

Familiar Tools Analyse Big Data

•  Native Microsoft BI Integration to PDW

•  Structured and unstructured data in same spreadsheet

•  Widely adopted and familiar user tools

Price/TB Of Leading Vendors

Lowest Price/Terabyte In Industry

Pricing analysis done on last know publicly accessible information available and represents the current view of Microsoft Corporation as of the date of this presentation. Because companies respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided outside of the sources cited or after the date of this presentation. Source: Value Prism Consulting: Microsoft’s SQL Server Parallel Data Warehouse Provides High Performance and Great Value; website:http://www.valueprism.com/resources/resources/ResourceDetails.aspx?ID=100

Lowest Price/TB

•  Significantly lower price/terabyte than closest competitor

•  2.5x lower Price/Terabyte than Previous Version

(Hardware + Software list price ) . (Compression X Performance Disk Capacity)

$/TB =

StorSimple connects Windows, Hyper-V and VMware servers to Azure Storage in minutes with no application modification Benefits •  Consolidates primary, archive,

backup, DR thru seamless integration with Azure

•  Cloud Snapshots = revolutionary speed, simplicity and reliability for backup and recovery

•  Reduces enterprise storage TCO by 60–80%

Application Servers

Inactive Data + Backup Copies in Cloud

Speed of SSD/SAS + Elasticity of Cloud

Warm data on SAS Local Tier

Most Active Data on SSD

StorSimple CiS

Azure Storage

Back up

Register and configure

Recover to the same or a different server

Install Agent

Business Continuity Solution on Windows Azure

Use for Disaster Recovery

Cloud Backup on Windows Azure

www.microsoft.com/bigdata

www.microsoft.com/pdw

http://www.windowsazure.com/en-us/home/scenarios/big-data/

https://www.hadooponazure.com