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My Personal Introduction (light) to Big Data presented to the CSI Conference in Montpellier (France)
Citation preview
Big Data, the latest updates
1
Plenary session – 14 June 2013
Pietro LeoExecutive Architect - IBM GBS Italy Big Data Analytics LeaderGlobal Technology Progam Manager - IBM Academy of TechnologyEmail: pietro_leo@it.ibm.com
@pieroleo www.linkedin.com/in/pieroleo
@pieroleo www.linkedin.com/in/pieroleo
BIOGRAPHY
Pietro LeoExecutive Architect - IBM GBS Italy Big Data Analytics LeaderGlobal Technology Progam Manager - IBM Academy of TechnologyEmail: pietro_leo@it.ibm.com
@pieroleo www.linkedin.com/in/pieroleo
Executive Analytics Architect with 20 years professional experience in Research & IT Services
IBM Academy of Technology Core management Team Member and Global Technology Program Manager
Extensive experience on Content Analytics, Big Data Analytics, Social Media Analytics, Knowledge Management, Knowledge and Data Integration, Very Large Mining and Search Engines, Semantic Search, Bioinformatics areas helping clients in complex (multi-millions) and mission-critical projects
Technical leader as well as chief architect and scientist in a number of analytics projects whose overall effort size is over 150 years/man
Social Business Passionate from disparate angles: Member of IBM Service Corps working in Ghana and strong #Socbiz and #innovation expert and #startup hunter
Multidisciplinary education background: Higher artistic degree in Oboe, Computing science degree, Master of Science by Research degree in applied artificial intelligence, Master's degree in public funding management.
Keynote speaker and author or co-author of more than 70 scientific and technical publications and and as well as co-author of two IBM books edited by IBM Readbooks.
Received more than a dozen of IBM special awards for high technical achievements including also the mention into the IBM Corporate Technical Award Book 2010 edition, the IBM IT Architect Worldwide Technical Leadership Excellence Award in 2006 and the IBM Academy President's Award 2012.
@pieroleo www.linkedin.com/in/pieroleo
Agenda
Defining Big Data
Big Data as a macro-trend and the State-of-the-Art
The business impact of Big Data & Deep Dive on selected Big Data Experiences
A Big Data IT Perspective
Wrap-up & organizing for Big Data: Next “best action”
@pieroleo www.linkedin.com/in/pieroleo
Measuring Big Data by using Big Data
Source: Google Trends
Big Data
Business Intelligence
Data Warehouse
Business Analytics
Correlated Query Terms
@pieroleo www.linkedin.com/in/pieroleo
Conventional Definitions of “Big Data”
Never before possibleSocial Data
Large volumesUnstructured Data
Valuable insight, but difficult to extractBasically an ETL environment
….....
These are partial and
or wrong definitio
ns
7@pieroleo www.linkedin.com/in/pieroleo
Big Data enables us to see with new eyes....
8@pieroleo www.linkedin.com/in/pieroleo
“The real voyage of discovery consists not in seeking new lands, but in seeing with new eyes....”
Marcel Proust, A la recherche du temps perdu, 1913/27
Salvador Dalì - Impresiones de África y Afgano invisible con aparición sobre la playa del rostro de
García Lorca en forma de frutero con tres higos, 1938 Dog Head
Fruit Bowl Waterfall
Table
BridgeDog Collar
Dog Muzzel
Hill
Beach
River
Point of View 1Point of View 1 Point of View 2Point of View 2
9@pieroleo www.linkedin.com/in/pieroleo
Big Data enables us to see with new eyes....Salvador Dalì - Impresiones de África y Afgano invisible con aparición sobre la playa del rostro de García Lorca en forma de frutero con tres higos, 1938
@pieroleo www.linkedin.com/in/pieroleo10
>80% Unstructured Data
+ External Data“Untouched” Data+ Stream of Data
Enterprise Data Machine Data People Data
Big Data metaphor
@pieroleo www.linkedin.com/in/pieroleo
Data is there and we need to make the best out of it
@pieroleo www.linkedin.com/in/pieroleo
We produce and consume Data for a specific purpose
@pieroleo www.linkedin.com/in/pieroleoSource: A statue representing Janus Bifrons in the Vatican Museums
Big Data as a new Business Concept and as a new Technology Concept
14@pieroleo www.linkedin.com/in/pieroleo
Big Data as a new business concept: New values and opportunities for a number of stakeholders
Chief Marketing Officerhow to improve customer focus?...could predict the right offer for the right customer at the right time and improve customer value and intimacy or prevent churn?
Chief Product Designer...how we can innovste? … could
we improve our product channels/design offering??
Chief Finance Officer
...could streamline compliance and understand risk
exposure across businesses and
regions?
Chief Risk Officer...uses anti fraud predictive analytics to detect and prevent rapid fire anomalous transactions or wire transfers identified as high probability of fraud?
Chief Executive Officer...could make better business decisions using accurate data across all company/system dimensions and across time horizons: past, present and future?
Chief Information Officer ...could analyze oceans of machine generated logs to
predict which components or equipment in the datacenter are likely to fail and thereby avert a disruption
during critical quarter end? How we can support Zero high risks or manage crisis?
Big Data
Analytics
@pieroleo www.linkedin.com/in/pieroleo
Big Data as a new technology concept: We need to combine internal and external data, utilized and under-utilized data, structured and unstructured data... and cross-link organization knowledge & data silos
CRM• emails• claims• call center scripts• Chats with customers• …
Transactional Info.:• Transactions• Orders• consultancies• …
Legal Info:• Contracts• Complaints• Reports• Legal Actions• Fraud Data• …
Knowledge Management•Manuals, wikis, couses•Projects Data•Market Analysis•RSS Business Feeds•Data feed: Bloomberg reuters• …
IT SystemsSystem LogsApplication logs: web, vending machines, mobileVideoSensor Networks, RFID• …
Social Media:• Global Social Networks: tweeter, facebook, etc.• Small communities: blogs, muros corporativos,• Internal Social Networks (employees)• News • …
Big Data
Analytics
@pieroleo www.linkedin.com/in/pieroleo
Source: Cornell University - Maize kernal infected with Aspergillus flavus, which produced aflatoxin.http://www.plantpath.cornell.edu/labs/milgroom/Research_aflatoxin.html And http://www.special-clean.com/special-clean/en/mold/mold-lexicon-1.php
For science, Big Data is the microscope of the 21st century
@pieroleo www.linkedin.com/in/pieroleo
For Science, Big Data is the microscope of the 21st century
Wine DNA Tracing
@pieroleo www.linkedin.com/in/pieroleo
Just ONE Transaction path goes to the end in thousands and to complete that path tens of decision points were considered. Right now we store and analyze in our transactional systems just the end points:
BuyerFail!
Fail!
Fail!
Fail
Fail!Fail!
Fail!
Fail!
Fail!
Fail!Fail!Fail
Fail!
Fail!Fail!
….Win!!!
Buying DecisionCloud
Yes!
For Business, Big Data is the answer and the need of the new emerging sub-transactional era
@pieroleo www.linkedin.com/in/pieroleo19
SocialData from and about People
PhysicalSensors & Streams
Terabytes to exabytes of existing data
to process
Streaming data, milliseconds to seconds to
respond
Structured, Semi-structured Unstructured,
text & multimedia
Uncertainty from inconsistency,
ambiguities, etc.
Volume
Velocity
Variety
Veracity
DataContent
>80%
<20%
Traditional Enterprise Data
Big data embodies new data characteristics created by today’s digitized marketplace
BiologicalDNA Sequencers
@pieroleo www.linkedin.com/in/pieroleo20 20
Glo
bal
Dat
a V
olu
me
in E
xab
ytes
Sens
ors
(Inte
rnet
of T
hing
s)
Multiple sources: IDC,Cisco
100
90
80
70
60
50
40
30
20
10
Agg
rega
te U
ncer
tain
ty %
VoIP
9000
8000
7000
6000
5000
4000
3000
2000
1000
0
2005 2010 2015
By 2015, 80% of all available data will be uncertain: Veracity
Enterprise Data
Data quality solutions exist for enterprise data like customer, product, and address data, but
this is only a fraction of the total enterprise data.
By 2015 the number of networked devices will be double the entire global population. All
sensor data has uncertainty.
Social Media
(video, audio and text)
The total number of social media accounts exceeds the entire global
population. This data is highly uncertain in both its expression and content.
@pieroleo www.linkedin.com/in/pieroleo
“Big Data is the set of technical capabilities,
management processes and
skills for converting vast, fast, and varied data into Right Data to produce useful
knowledge”
Source: Definition discussed during the work of the Word Summit on Big Data and Organization Design Paris – 2013 and Adapted from: Beacon Report – Big Data Big Brains – 2013
In summary, what is Big Data?
@pieroleo www.linkedin.com/in/pieroleo
What is New and Different?
A lot more data and different kinds of data.Historically most data was structured data – rows and columns
Today it is unstructured data like aerial photos, audio from call centers, video from surveillance cameras, e-mails, texts, diagrams.
A shift in focus from data stocks to data flows.Historical information was stored in data warehouses and analyzed by data mining.
Streaming data arrives in real time allowing us to influence events as they happen. We can prevent some bad events from ever happening at all.
Shift in the power structure of the company. Many companies have analog establishments. We need to shift power to those who can draw valuable insights from data and analytics and implement them.
Shift from periodic to real time or continuous decision making. We need an increase in the clock speed of every process in the company.
There is a potential for “Big Data” to become a fundamental center for the company. Is it a new dimension of structure?
Organization Design IssuesTechnology Issues
Source: Jay R. Galbraith, from Word Summit on Big Data and Organization Design Paris – 2013
@pieroleo www.linkedin.com/in/pieroleo
Agenda
Defining Big Data
Big Data as a macro-trend and the State-of-the-Art
The business impact of Big Data & Deep Dive on selected Big Data Experiences
A Big Data IT Perspective
Wrap-up & organizing for Big Data: Next “best action”
@pieroleo www.linkedin.com/in/pieroleo
IBM Institute for Business Value and the Saïd Business School partnered to benchmark global big data activities
24
IBM Global Business Services, through the IBM Institute for Business Value, develops fact-based strategies and insights for senior executives around critical public and private sector issues.
Saïd Business School University of Oxford
IBM Institute for Business Value
The Saïd Business School is one of the leading business schools in the UK. The School is establishing a new model for business education by being deeply embedded in the University of Oxford, a world-class university, and tackling some of the challenges the world is encountering.
www.ibm.com/2012bigdatastudy
@pieroleo www.linkedin.com/in/pieroleo
Big Data Analytics has evolved from business initiative to business imperative
63%
58%
37%
2012
2011
2010 70% increase
Source: 1 2010 and 2011 datasets © Massachusetts Institute of Technology. 2 Analytics: The real-world use of big data. 2012 Study conducted by IBM Institute for Business Value, in collaboration with Säid Business School at the University of Oxford.
3.6x
Likelihood of organizations competing on analytics to outperform their peers2
Percentage of respondents who cited a competitive advantage from the use
of information and analytics1,2
@pieroleo www.linkedin.com/in/pieroleo
Three out of four organizations have big data activities underway; and one in four are either in pilot or production
26
Total respondents n = 1061Totals do not equal 100% due to rounding
Big data activities
Respondents were asked to describe the state of big data activities within their organization.
Early days of big data era Almost half of all organizations surveyed
report active discussions about big data plans
Big data has moved out of IT and into business discussions
Getting underway More than a quarter of organizations have
active big data pilots or implementations Tapping into big data is becoming real
Acceleration ahead The number of active pilots underway
suggests big data implementations will rise exponentially in the next few years
Once foundational technologies are installed, use spreads quickly across the organization
@pieroleo www.linkedin.com/in/pieroleo
Five key findings highlight how organizations are moving forward with big data
27
Big data is dependent upon a scalable and extensible information foundation2
The emerging pattern of big data adoption is focused upon delivering measureable business value5
Customer analytics are driving big data initiatives1
Big data requires strong analytics capabilities4
Initial big data efforts are focused on gaining insights from existing and new sources of internal data3
@pieroleo www.linkedin.com/in/pieroleo
Key Findings: Customer analytics are driving Big Data initiatives
Big dataInfrastructure
Big dataSources
Analytics capabilitiesTotal respondents n = 1061
Big data objectives
Top functional objectives identified by organizations with active big data pilots or implementations. Responses have been weighted and aggregated.
Customer-centric outcomesOperational optimizationRisk / financial management
New business model
Employee collaboration
Big Data areas of work
@pieroleo www.linkedin.com/in/pieroleo
Big data leadership shifts from IT to business as organizations move through the adoption stages
29
CIOs lead early efforts Early stages are driven by CIOs once
leadership takes hold to drive exploration
CIOs drive the development of the vision, strategy and approach to big data within most organizations
Groups of business executives usually guide the transition from strategy to proofs of concept or pilots
Business executives drive action Pilot and implementation stages are
driven by business executives – either a function-specific executive such as CMO or CFO, or by the CEO
Later stages are more often centered on a single executive rather than a group; a single driving force who can make things happen is critical
Leadership shifts
Respondents were asked which executive is most closely aligned with the mandate to use big data within their organization. Box placement reflects the degree to which each executive is dominant in a given stage.
Total respondents n = 1028
@pieroleo www.linkedin.com/in/pieroleo
Agenda
Defining Big Data
Big Data as a macro-trend and the State-of-the-Art
The business impact of Big Data & Deep Dive on selected Big Data Experiences
A Big Data IT Perspective
Wrap-up & organizing for Big Data: Next “best action”
@pieroleo www.linkedin.com/in/pieroleo
Utilities Weather impact analysis on
power generation Transmission monitoring Smart grid management
Retail 360° View of the Customer Click-stream analysis Real-time promotions
Law Enforcement Real-time multimodal surveillance Situational awareness Cyber security detection
Transportation Weather and traffic
impact on logistics and fuel consumption
Traffic congestion
Financial Services Fraud detection Risk management 360° View of the Customer
IT System log analysis Cybersecurity
Telecommunications CDR processing Churn prediction Geomapping / marketing Network monitoring
What can you do with Big Data?
Health & Life SciencesEpidemic early warningICU monitoringRemote healthcare monitoring
@pieroleo www.linkedin.com/in/pieroleo
• Advanced client segmentation• Leveraging customer sentiment analysis • Reducing customer churn
• Optimizing the supply chain • Deploying predictive maintenance capabilities• Transform threat & fraud identification processes
Operations
• Enabling rolling plan, forecasting and budgeting• Automating the financial close process • Delivering real-time dashboards
Finance
• Making risk-aware decisions• Managing financial and operational risks• Reducing the cost of compliance
Risk
Examples:
Customers / Clients
Another perspective: let's focus on ROI in core business areas for Big Data
• Advanced client segmentation• Leveraging customer sentiment/opinion analysis • Reducing customer churn
@pieroleo www.linkedin.com/in/pieroleo
Big Data for Customer Analytics challenge: build a 360°Integrated Customer View … and more!
SINGLE VIEWBusiness Data,
Social Data, Interactive data
360°Integrated Customer View
Marketing
Cust. Care
Sales
Risk, Fraud
Customers / Clients
@pieroleo www.linkedin.com/in/pieroleo
Big Data for Customer Analytics challenge: build a 360°Integrated Customer View … and more
SINGLE VIEWBusiness Data,
Social Data, Interactive data
360°Integrated Customer View
Marketing
Cust. Care
Sales
Risk, Fraud
Customers / Clients
How?How?Why?Why?
Who?Who? What?What?
@pieroleo www.linkedin.com/in/pieroleo
Big Data for Customer Analytics challenge: build a 360°Integrated Customer View … and more
360°Integrated Customer View
Customers / Clients
How?How?Why?Why?
Who?Who? What?What?Project Example 1TV Broadcaster
Project Example 2Media and Entertainment
Project Example 3Hair care manufacturer
Big Data Analytics Project Space
@pieroleo www.linkedin.com/in/pieroleo36
• Social media analysis is a new and increasingly relevant way to become more competitive in consumer-driven markets. Mediaset wanted to increase its market share as well as launch new services and digital-content distribution. s marketing campaigns and better
• Television content and services are becoming increasingly consumer driven, and the media outlet that can capture and use customer sentiment to its benefit gains a competitive advantage. This media provider in Italy applied an advanced analytics solution to analyze more than 1.6 million unstructured data points from Web 2.0 sources to gain an understanding of its customers’ attitudes, opinions and preferences.
Challenge
Benefits
Solution
Customer Quote
“Big data is a great opportunity for TV innovation in the next years. TV viewing is transforming into a multiplatform and participative experience; the better we know and understand our viewers, the better we can serve them”.
36
A TV broadcaster analysed Big Data Analytics to collect Customer longitudinal point of views from Web 2.0 and correlate them with internal data
• Television content and services are becoming increasingly consumer driven, and the media outlet that can capture and use customer sentiment to its benefit gains a competitive advantage. This media provider in Italy applied an advanced analytics solution to analyze more than 1.6 million unstructured data points from Web 2.0 sources to gain an understanding of its customers’ attitudes, opinions and preferences.
• Analyzed more than 1.6 million data points on social media outlets to discover public sentiment and correlations with customer satisfaction
• Helped Mediaset to discover and measure viewer sentiments expressed in Web 2.0 contents related to its TV contents and ad campaigns
@pieroleo www.linkedin.com/in/pieroleo
Big Data Analytics to expand knowledge about customer profiles and measuring marketing campaign
• Analysis of social media messages for large Media and Entertainment company to determine reaction to movie commercials aired during the SuperBowl
• Insights based on 30M+ social media consumer profiles created by analyzing over a Billion messages• Real-time evolution of insights correlated with the airing of the commercial
• Analysis of social media messages for large Media and Entertainment company to determine reaction to movie commercials aired during the SuperBowl
• Insights based on 30M+ social media consumer profiles created by analyzing over a Billion messages• Real-time evolution of insights correlated with the airing of the commercial
Key Business Questions:
How many people are talking about the film ?• Intention to see the movie, Impact of SuperBowl commercial
Who are they ?• Demographics, Influencers, avid movie goers
What is the reaction ?• Categorized sentiment (plot, characters, …)• Comparison with competitive movies
Key Business Questions:
How many people are talking about the film ?• Intention to see the movie, Impact of SuperBowl commercial
Who are they ?• Demographics, Influencers, avid movie goers
What is the reaction ?• Categorized sentiment (plot, characters, …)• Comparison with competitive movies
Jan 1
5pm 6pm 7pm 8pm
Super Bowl
Monitoring Period Feb 5th
Golden Globes NFC Championship
9pm 10pm 11pm
• Buzz and sentiment• Gender, Location and Occupation• Avid movie-goers, comic book fans• Intent to see specific films• Specific attributes of the film/trailer
@pieroleo www.linkedin.com/in/pieroleo
■ Their earlier analysis of Google search requests suggested that hair problems formed a significant part of what consumers care about…
■ … but Big Data Analytics showed that people rarely chatted about their hair problems when discussing and comparing hair care products
The marketing messages were re-focused in line with this more nuanced insight – promoting what customers want for their hair to harmonize with the social media agenda
On another perspective an Hair care manufacturer finds out what consumers really chat about
@pieroleo www.linkedin.com/in/pieroleo
360-degree Consumer Profiles from Social Media
Personal Attributes• Identifiers: name, address, age, gender, occupation…• Interests: sports, pets, cuisine…• Life Cycle Status: marital, parental
Personal Attributes• Identifiers: name, address, age, gender, occupation…• Interests: sports, pets, cuisine…• Life Cycle Status: marital, parental
Products Interests • Personal preferences of products• Product Purchase history• Suggestions on products & services
Products Interests • Personal preferences of products• Product Purchase history• Suggestions on products & services
Life Events• Life-changing events: relocation, having a baby, getting married, getting divorced, buying a house…
Life Events• Life-changing events: relocation, having a baby, getting married, getting divorced, buying a house…
Monetizable intent to buy products Life Events
Location announcementsIntent to buy a house
I'm thinking about buying a home in Buckingham Estates per a recommendation. Anyone have advice on that area? #atx #austinrealestate #austin
I'm thinking about buying a home in Buckingham Estates per a recommendation. Anyone have advice on that area? #atx #austinrealestate #austin
Looks like we'll be moving to New Orleans sooner than I thought.Looks like we'll be moving to New Orleans sooner than I thought.
College: Off to Stanford for my MBA! Bbye chicago!College: Off to Stanford for my MBA! Bbye chicago!
I'm at Starbucks Parque Tezontle http://4sq.com/fYReSjI'm at Starbucks Parque Tezontle http://4sq.com/fYReSj
I need a new digital camera for my food pictures, any recommendations around 300?
I need a new digital camera for my food pictures, any recommendations around 300?
What should I buy?? A mini laptop with Windows 7 OR a Apple MacBook!??!
What should I buy?? A mini laptop with Windows 7 OR a Apple MacBook!??!
Timely Insights• Intent to buy various products • Current Location• Sentiment on products, services, campaigns• Incidents damaging reputation• Customer satisfaction/attrition
Timely Insights• Intent to buy various products • Current Location• Sentiment on products, services, campaigns• Incidents damaging reputation• Customer satisfaction/attrition
Relationships• Personal relationships: family, friends and roommates…• Business relationships: co-workers and work/interest network…
Relationships• Personal relationships: family, friends and roommates…• Business relationships: co-workers and work/interest network…
@pieroleo www.linkedin.com/in/pieroleo40
AMEX Example: Business Models based on connecting Virtual and Real Worlds
American ExpressSmart Offer
A portal that collects special offers and discounts from retailers and detail about the customer segment that is target
Marketing segmentation engine that evaluate customer profiles and select the best coupon to propose
Moble app and connection with Twitter, Facebook e Foursquare to communicate with the customers and enable viral effects
Just virtual Coupons are managed! Customers activate the coupon and receive on montly basis on the credit card account the equivalent of the coupon discounts after that transactions were registred
API
@pieroleo www.linkedin.com/in/pieroleo41
What Data AMEX Sync acquires from Facebook, Twitter e Foursquare? New CRM Data...
American ExpressSmart Offer
@pieroleo www.linkedin.com/in/pieroleo
Twitter Inc. is experimenting with becoming a shopping mall.
Twitter and American Express Co. said Monday they struck a partnership to allow Twitter users to buy products for the first time directly on the short messaging service.
American Express card holders who connect their card numbers to their Twitter accounts can post on Twitter to trigger a purchase of select products, including discounted American Express gift cards, Kindle Fire tablets from Amazon.com Inc. and jewelry from designer Donna Karan. The program will roll out over the next few days.
The arrangement hints at a potential new source of revenue for Twitter, which has largely been reliant on advertising for revenue. Neither Amex nor Twitter will discuss financial terms of their partnership, but Twitter wouldn’t rule out taking a cut of future e-commerce sales. The American Express partnership also is a way for Twitter to prove the link between marketing activity on Twitter and a ringing cash register.
API - S
ervi
ces
Twitter, Amex Launch Pay-By-Tweet Service
Source: http://blogs.wsj.com/digits/2013/02/11/twitter-amex-to-collaborate-on-e-commerce-sales-on-twitter/
@pieroleo www.linkedin.com/in/pieroleo
external traits
intrinsic traits
Omni Profileof each individual
…..Further Hyper-Personalized
360°Integrated
Customer View
+Personality
OpennesConscientiousnessExtraversion Agreeableness Neuroticism Perception
Fundamental needsIdeal
Liberty
Love
Structure
Social behavior
Responsiveness
Temporal patterns of activities
Social relationships to othersSimilarityTie strength
FrequencyRecencyIntensityReciprocityIntimacy
Big Data for Customer Analytics challenge: build a
360°Integrated Customer View … and more!Customers / Clients
@pieroleo www.linkedin.com/in/pieroleo
Big Data enabled doctors from University of Ontario to apply neonatal infant monitoring to predict infection in ICU 24 hours in
advance
Performing real-time analytics using physiological data from neonatal babies
Continuously correlates data from medical monitors to detect subtle changes and alert hospital staff sooner
Early warning gives caregivers the ability to proactively deal with complications
“Customer Analytics” in
some Industry means safe life
@pieroleo www.linkedin.com/in/pieroleo
Agenda
Defining Big Data
Big Data as a macro-trend and the State-of-the-Art
The business impact of Big Data & Deep Dive on selected Big Data Experiences
A Big Data IT Perspective
Wrap-up & organizing for Big Data: Next “best action”
@pieroleo www.linkedin.com/in/pieroleo
Data WarehouseOperational Analytics
Structured, analytical, logical
Big DataAd Hoc Analytics
Creative, holistic thought, intuition
UnstructuredExploratoryIterativeBrand sentimentProduct strategyMaximum asset utilization
StructuredRepeatable
LinearMonthly sales reports
Profitability analysisCustomer surveys
Big Data IT Perspective: augmenting traditional IT investments
@pieroleo www.linkedin.com/in/pieroleo
Manage & store huge volume of any data
Hadoop File System
MapReduce
Manage Streaming Data
Stream Computing
Analyze Unstructured Data Text Analytics Engine
Data WarehousingStructure and control data
Integrate and govern all data sources
Integration, Data Quality, Security, Lifecycle Management, MDM
Understand and navigate federated big data sources
Federated Discovery and Navigation
From an IT perspective leveraging Big Data and Big Data Analytics requires multiple platform capabilities
@pieroleo www.linkedin.com/in/pieroleo
BI / Reporting
Exploration / Visualization
FunctionalApp
IndustryApp
Predictive Analytics
Content Analytics
Analytic Applications
IBM Big Data Platform
Systems Management
Application Developmen
t
Accelerators
BigInsights
Volume, Variety
Cost-effectively process and analyze any type of data
Visualization & Discovery
Visibility
Understand, find, and navigate federated big data
Data Warehouse
Volume, Structured
Purpose-built offeringsHigh-performance appliances and software
Information Integration & Governance
Veracity
Trusted informationParallel processing for high-volume integrationBest practices
Stream Computing
Building a Big Data Platform: The IBM perspective
Velocity
Analyze data-in-motion to produce insights in micro-seconds
Agile, multi-tenant shared infrastructure
BIG Performance
Option of an optimized low-latency MapReduce implementation fully compatible with open-source Hadoop
@pieroleo www.linkedin.com/in/pieroleo
Agenda
Defining Big Data
Big Data as a macro-trend and the State-of-the-Art
The business impact of Big Data & Deep Dive on selected Big Data Experiences
A Big Data IT Perspective
Wrap-up & organizing for Big Data: Next “best action”
@pieroleo www.linkedin.com/in/pieroleo
Business-centric Big Data enables you to start with a critical business pain and expand the foundation for future requirements.... start with the most critical one!
@pieroleo www.linkedin.com/in/pieroleo51
Using twitter?
Dear delegate, we value the feedback provided through feedback forms, but we would like to encourage you to use the twitter hashtag #IBMCSII for your:
Findings on the eventLogisticsSuggestionsNetwork dinerSpeakersContentWeather ...
@pieroleo
www.linkedin.com/in/pieroleo
You can find me here:
@pieroleo www.linkedin.com/in/pieroleo
Grazie!
Pietro LeoExecutive Architect - IBM GBS Italy Big Data Analytics LeaderGlobal Technology Progam Manager - IBM Academy of TechnologyEmail: pietro_leo@it.ibm.com
@pieroleo www.linkedin.com/in/pieroleo
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