larsBG@microsoft.com

Big Data. Small data. All data.

Mark Beyer, Gartner(Information Management in the 21st Century)

”By 2015 will organizations that has built a

modern information system financially exceed

it’s competitors with 20%"

Anticipatory

shipping

Data Complexity: Variety and Velocity

Terabytes

Gigabytes

Megabytes

Petabytes

Machine-generated unstructured data:

• Sensor data: This includes all kind of devices providing data.

• Satellite images: This includes weather data or satellite surveillance imagery. Just think about BING MAPS or Google Earth, and you get the picture.

• Scientific data: This includes seismic imagery, atmospheric data, and high energy physics.

• Photographs and video: This includes security, surveillance, and traffic video.

• Radar or sonar data: This includes vehicular, meteorological, and oceanographic seismic profiles.

Human-generated unstructured data:

• Text internal to your company: Think of all the text within documents, logs, survey results, and e-mails. Enterprise information represents a large percent of the text information in the world today.

• Social media data: This data is generated from the social media platforms such as YouTube, Facebook, Twitter, LinkedIn, and Flickr.

• Mobile data: This includes data such as text messages and location information.

• Website content: This comes from any site delivering unstructured content, like YouTube, Flickr, or Instagram.

Big Data is everywhere

Recommenda-tion

engines

Smart meter

monitoring

Equipment

monitoringAdvertising analysis

Life sciences

research

Fraud

detection

Healthcare

outcomes

Weather forecasting

for business

planningOil & Gas exploration

Social network

analysis

Churn

analysis

Traffic flow

optimization

IT infrastructure &

Web App

optimization

Legal

discovery and

document archiving

Intelligence

Gathering

Location-based

tracking & services

Pricing Analysis

Personalized

Insurance

Hvordan kanMicrosoft såhjælpe dig med at få bedreindsigt ?

Self-Service BISelf-service BI with the familiarity of Office and the power of the cloud

Empower users with self-service in Excel

Connect and collaborate in Office 365

Q&A

15

Data sources

16

Data sourcesNon-Relational Data

• HDInsight er Microsoft implementering af Hadoop™

• HDInsight er en service til at håndterer store mængder ustruktureret

data (og ustruktureret )

• Fuldt integreret til vores BI stak (f.eks. PowerQuery)

• HDInsight anvendes på 2 måder gennem Microsoft

– SQL Server Parallel DataWare House (on prem)

– Azure HDInsight service (Cloud)

Parallel Data Warehouse

• Shared-nothing parallel database system» Massively parallel processing (MPP)

» A “Control” server that accepts user queries, generates a plan, and distributes operations in parallel to compute nodes

» Multiple “Compute” servers running SQL Server

» A “Management” server for administering the system

» A “Data Movement Service” that facilitates parallel SQL operations

• Delivered as an appliance» Balanced and pre-configured software and industry standard hardware from Dell and HP

» Single Call Support

» Fastest Time to Market

» Scales from 2 to 56 Nodes

www.windowsazure.com

Where should you start?

8 April

CrownPlaza, København

www.conferencemanager.dk/businessin

sight2014

Resume

• Demo senarier• 40 års aktiehandler (hurtig indsigt i industrier)• Chicago Narcotics (data visualisering) + Trick or Treat (Hvor skal vores børn

hen og hente slik)• Power BI (Deling af rapporter, samt ASK)

• Værktøjer • Excel ( PowerQuery, PowerMAP)• Power BI App – Windows 8• Power BI med ASK i Office 365• PDW eller Azure for HDInsight

• Hvilke scenarier giver værdi for jer ?• Visualiser jeres data og gem nye data.

• Bliver I ”Master of data” ? (BigData )

.