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Cloud computing and BI (Business Intelligence) are technologies of choice to address today business needs. They allow companies to optimize IT and become more competitive and productive. Implementing BI solutions in the cloud brings both benefits and new challenges that need to be addressed. On technology side there are security, (increasingly mobile) communication infrastructure and speed. On business side there are privacy, clever use of information “push” model, compliance with different laws/regulations and general sustainability (ecology). New technology and business models are arising because data is widely distributed and BI can (and often must) use new sources of information. Examples of new sources are social networks (Facebook, Twitter …) and search engine analytics (Google, Bing …) which are actually public clouds. Combining these data sources with additional dimensions like real-time GPS data from mobile devices and access to geo-location services may significantly change the way some businesses are being run today. This session also describes the marriage of cloud and mobile computing, new area of both business and IT opportunities and models that might be used to create and implement BI using private, public and hybrid cloud solutions on Microsoft platform, services and tools. Also, authors will present 2 new concepts of cloud computing models: DaaS (Data as a Service) and AaaS (Analytics as a Service) and how IT can utilize them to provide event better service for personal and corporate BI.
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Business Intelligence vNextor How Cloud Computing is (not) Changing the Way We Do BI
23.10.2012.
Tomislav Bronzin, CITUS
Tomislav BronzinMicrosoft Regional Director & MVP
• Software Architect – CITUS Ltd.• Consultant and trainer on mobile and cloud
architecture, development and implementation, SQL Server/BI, http://www.citus.hr
• INETA Europe Vice President, http://europe.ineta.org
• Recent projects: Protect@Work, m.mobilityday.com
• Speaker at: • Microsoft Conferences: Vizija, TechEd Europe,
DevDays, DevReach, WinDays, Sinergija, NT Konferenca, Mobility Day Conference
• Contact: [email protected], @tbronzin
What is …
Source: “tags cloud of the cloud computing definition on wikipedia”: http://ratkom.net/
What is cloud computing?
Cloud computing is a model for enabling convenient, on-demand
network access to a shared
pool of configurable computing resources that can be
rapidly provisioned and released with
minimal management effort or service provider interaction.
* National Institute of Standards and Technology, USA) definition [4] from September, 2011 released in its “Special Publication 800-145”: http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf
Cloud computing
• Defined with:
– 5 essential characteristics
– 3 service models– 4 deployment models
5 essential characteristics
Resource pooling
On-demand self service
Rapid elasticity
Broad network access
Measured services
3 service models
Software-as-a-Service
consume
“SaaS”Infrastructure-as-a-
Service
host
“IaaS”build
“PaaS”Platform-as-a-Service
4 deployment models
PrivateCLOUDOn-premises Cloud
CommunityCLOUD
PublicCLOUDOff-premises Cloud
HybridCLOUDOn-premises and Off-premises Cloud
+
BI in the cloud
• New challenges: (not present in traditional BI)
– Different data sources:• Huge amount of structural & non-structural data
– Different data structures– Different data type
• There is a rapidly growing need for both globally standardized (Semantic Web) and individually shaped (Guardian Angels) metadata
– Short-living data
We propose 2 NEW Cloud Service Models:
Data-as-a-Service
Windows Azure
Data Market
“DaaS”New!
“AaaS”Analysis-as-a-Service
Large, big, huge amount of data!
1.2 x 10
Petabytes…Year Example Size
(PB)
adult human brain 2.5
1986
The world's effective capacity to exchange information through two-way telecommunication networks (optimally compressed size)
281
1993 471
2000 2,200
2007 65,000
2008 Teradata Database 12 compressed capacity 50
2008 AT&T network transfers (per day!) 20
2009 Google processing (per day!) 25
Year Example Size (PB)
2009 Large Hadron Collider production (per year) 15
2009 World of Warcraft (game) 1.52009 Avatar 3D rendering 1
2009German Climate Computing Center (DKRZ) storage capacity for climate data
60
2010 BBC's iPlayer (used bandwidth per month) 7
2011 Internet Archive 6
2011 IBM have built the largest storage array ever 120
2012Cray began construction of the Blue Waters Supercomputer
500
Technical Foundation „Big Data”
• Apache Hadoop• NoSQL database
Example of Big Data Solution
15
Embeded DW
Sensors Devices Bots CrawlersERP CRM LOB APPs
Hadoop in Cloud
Hadoop On-Premise
Connectors
Unstructured and Structured Data
S S RS
SSAS
BI Platform
Familiar End User Tools
Web clients
Rich Clients Embedded BI
Predictive Analytics
Cloud & Mobile, A Match Made In Heaven
4 different scenarios
Accessingsome kind of corporate data
Accessingcombined data compiled together from different origins
+
Accessingall kinds of highly distributed data from SocN
Storing data that has originated on mobile devices (most probably tablets) in the cloud
DEMO: Example of using Data Analytics Service from the Microsoft Word / Using Review/Research
DEMO: Using Financial Service “CITUS Iznos Slovima”
DEMO: Twitter Analytics / Microsoft Excel Pover Pivot Add-in (1)
DEMO: Twitter Analytics / Microsoft Excel Pover Pivot Add-in (2)
DEMO: Twitter Analytics / Microsoft Excel Pover Pivot Add-in (2)
DEMO: Twitter Analytics / Microsoft Excel Pover Pivot Add-in (3)
DEMO: Twitter Analytics / Microsoft Excel Pover Pivot Add-in (4)
Windows Phone BI App Examples
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